hackathon_id int64 1.57k 23.4k | project_link stringlengths 30 96 | full_desc stringlengths 1 547k ⌀ | title stringlengths 1 60 ⌀ | brief_desc stringlengths 1 200 ⌀ | team_members stringlengths 2 870 | prize stringlengths 2 792 | tags stringlengths 2 4.47k | __index_level_0__ int64 0 695 |
|---|---|---|---|---|---|---|---|---|
10,436 | https://devpost.com/software/mementos-yc35ku | Helps People live with dementia recognise friends,family
Home Screen
Find Friends
Family can send personalised memos as reminders
Inspiration
When ideating this app, we firstly took inspiration from personal connections to this track. One team member mentioned her grandparents as possible beneficiaries that MEMENTOS strives to help. During these extremely difficult times, this team member found it very difficult to remind her grandparents to take their medicine every day such as Metamorphine to combat their Type 2 diabetes. In addition, being thousands of miles away from her grandparents created a gap in the personal connections that this team member yearned for in these scarily-isolating times. Thus, our team generated ideas from this baseline and implemented designs with a variety of features that we liked and thought had the potential to significantly enhance the efficacy of our app. One major concept we drew from was the idea of readability and user-friendly interfaces specifically designed for the elderly, as we realized that a lot of technology is not made with the needs of the older generation in mind, which could account for the disparity in technological literacy across age groups. Furthermore, we were greatly inspired by the concept of
Augmented Reality
and its diverse applications, as we felt it could be
creatively applied to the problem of memory loss among the elderly
. Lastly, we modelled the social connectivity feature of MEMENTOS off of existing social connection platforms (such as the Snapchat Bitmoji map), which further added to the value of our design.
What it does
Mementoes is a personal assistant app for the elderly. This app addresses the intersection of memory loss, loneliness, and inexperience with technology among the elderly. It provides users with reminders of important appointments, a location guide for their commonly used items, personalized audio messages from loved ones, an AR recognition software to help them remember people, and a social connection feature that allows them to chat with others!
How we built it
We built the AR components and mobile app using Swift and RealityKit. I also used Reality Composer tool pre-equipped with Xcode. In addition, we used reputable sites, research papers, and advice from mentors to help us create an informed decision on how our product would be a solution for the issues seniors face which are feeling disconnected due to not having loved ones around and seniors often having trouble with remembering their daily routines and activities.
Challenges we ran into
This was a HUGE build. Thankful to the mentors available, Many of us are first Hackers and This is the first time we created an app related to healthcare, and first time team learned about app development and Augmented reality. I had to read the documentation several times to understand how to enable AR world tracking, Face Recognition AR World and include Memories of a respective person recognised. Near the project's end, We faced some errors which took time to resolve them.
Accomplishments that we're proud of
Throughout the course of this hackathon, our team strived for strong communication, teamwork, and work ethic. Through this team effort, we were able to collaboratively create a prototype that assists seniors in their daily lives and allows them to stay connected with their loved ones. MEMENTOS has a very senior-friendly interface and brings a personal touch to the technology that seniors use, making technology more inviting and less intimidating to the elderly.
What we learned
A team with shared goals and passions along with diverse interdisciplinary backgrounds works marvellously together to create novel solutions for pressing problems in today’s society. Throughout the past two days, we integrated new concepts into our application design and development process. In addition, those of us who had no prior experience in app development acquired a few basics, both through the very intriguing workshops and through collaboration with our teammates. We all worked extremely well together, balancing each others’ strong suits to design MEMENTOS and develop a presentation and clearly highlighted the app’s main features. By doing so, we all certainly developed strong communication, teamwork, and organization skills. MedHacks allowed us to learn new concepts such as how to use Flutter for front-end development; how impactful AI is in medical decision making; and how important teamwork is to developing large projects such as a mobile app like MEMENTOS.
What's next for Mementos
We hope to reach a wider audience with this app through the addition of a translation option and additional features such as a scheduler, item inventory, and friend locator. The translation option will make the app more accessible to those whose first language is not English. In addition, the schedule and item inventory features will be helpful to those who tend to be forgetful or who suffer from memory loss. Lastly, the friend locator will allow users to feel more connected to their friends as they can see their whereabouts and plan potential meetups. During the age of social distancing and COVID-19, the friend locator serves as an additional comfort, as users can see their friends are close by even though they cannot meet in person.
Built With
augmented-reality
figma
firebase
ios
swift
Try it out
github.com | Mementos | Mementos is a personal assistant app that addresses the intersection of memory loss, loneliness, and inexperience with technology among the elderly. | ['Angela Ng', 'Surya Chappidi', 'Neha Yadav', 'Pooja Patel', 'XiLei Zhu'] | [] | ['augmented-reality', 'figma', 'firebase', 'ios', 'swift'] | 81 |
10,436 | https://devpost.com/software/one-click-pharmacy | Inspiration
Today, over 46 million adults living in the US are over 65 years old and therefore considered elderly (1). The elderly population is projected to be 77 million by 2034 according to the US Census (2). Furthermore, about 10,000 people each day are turning 65 or older. Of the 16,116,219 adult EMS responses in 2014, 6,569,064 (40.76%) were from older patients (3). It is clear that an older population has a higher volume of health problems, which is why we chose to isolate this age group as our targeted population. According to the CDC “89.1% of adults aged 65 and over use prescription drugs.” 67.6% of them took 3 or more prescriptions, and 40.9% took 5 or more (4). Around 38.7% of patients made a mistake with their medication in the previous year. “The most common errors reported by elderly, polymedicated, and multi-pathological people were skipping a dose or not taking it regularly (4).” Approximately 35% of all medical spending is done by the elderly (4), which is disproportionately high considering only 16.21% of the US population is over 65 (5). This shows the vulnerability of the elderly population and the need for self-care strategies. Data collected by Dr. Fischer states that 77% of older adults have a cell phone which trails other age groups by approximately 18%. Only 47% of elderly Americans use the internet and have internet coverage. Internet usage is much less prevalent in the older age groups than among younger groups, with home access only reaching 34% among the elderly (6). She further reports thatThis gap is likely a result of the increasing complexity of available devices. Furthermore, vision loss affects 37 million Americans older than 50 years and one in four who are older than 80 years (7). Vision problems severely limit the ability to use the internet and devices.
What it does
We fully recognize the impediments for geriatric patients to get adequate health care, thus, designed our program purposefully to provide solutions. With simple interface and lay-person wording, the gereatric patients looking for a reminder to refill their medicion will accomplish this goal with great ease. Within a few clicks, they will have a reminder set for them to restock their medicines. With 41% of older adults above 65 years old having mobility constraints, our design aims to assist the refilling of their non-prescription medication by directing them to online retailers through one simple click (8). In addition, instead of requiring the possession of smartphones from our users, the web design of the program with the support of the Web Content Accessibility Guidelines followed by local libraries will be accessible to users in almost all environments (9).
How we built it
The program will use a voice recognition system (Google API) to take the user’s language input of the name of, the total amount of, and the daily dose of the medication. The first function of the program tells the user when the medication will run out. It uses a mathematical algorithm to calculate the date, then the program will display the date 5 days prior to the “run out” date to notify the user to get a refill. The second function of the program takes the name of the medication and directs the user to the cvs website for online ordering and pick up for that specific medication. The third function of the program keeps track of the time and date and will notify the user to purchase the medication 5 days prior to the “run out” date.
Challenges we ran into
With the online module of Medhacks this year, it allows us to understand and cherish in-person communication for its high efficiency and accuracy. Our major challenges are composed mostly due to unfamiliarity with online communication methods as well as collaborating on code generation over long distance. Facing limited Internet width-band for one of our team members limits our possibility to use Zoom, Google Meeting, and Discord to communicate without lagging. The inability to pass complete sentences and thoughts in time elongated our brainstorm process. We are devoted to enhancing communication even though that means we have to take less efficient routes, such as using words to explain abstract ideas. This lack of familiarity also comes in when the collaboration between our coders was impeded by the inability to direct communication and hands-on programming. One of our coders lacks the software to run and decipher the lines written by the other coder. This would have been accomplished if in-person interaction can happen with them directly coding from each other’s device.
Accomplishments that we're proud of
Having a voice activated option makes the use of our program more efficient and intuitive thus allowing the less digitally literate population to utilize this system. By directing the user straight to the streamline online ordering of the medication they inputted earlier, we allow the user to take immediate action and reduce their online browsing time when they are prompted to refill their medication. This virtual connection to a pharmacy will allow the elderly users to avoid physical contact which is crucial to their health during the current global pandemic and will continue to be a useful feature well beyond Covid-19. Our program greatly ensures the consistent availability of the elderly user’s medication supply. The streamlined online ordering of refills will simplify the traditional ordering process which will increase convenience and reduce risks associated with missing a dose of medication.
What we learned
Throughout our process, we learned a lot about collaboration over the internet and across time zones. We realized that dividing work between members equitably was crucial to success but could only be accomplished with an acknowledged difference in our skill sets. Some of the work was only able to be done after the completion of another person’s portion, forcing us to plan for the event that it failed to work.
What's next for One Click Pharmacy
We will create an application in order to extend our program to all digital platforms so that we can store patient’s medication data, such as the amount remaining and preferred time of consumption, for continued use of our program. With accessibility to sound and display systems on mobile devices, we aim to send customized daily reminders to avoid missed or repeated medicine-taking. Meanwhile, integrating the program with health care providers and hospitals will allow us to send the patient's prescription drug orders to the healthcare system they are associated with so the hospital can provide the medication on time. It will also simplify health care workers’ jobs in tracking patient’s prescriptions. Furthermore, being a part of the hospital system will preclude us from Health Insurance Portability and Accountability violations.
Sources
Older People Projected to Outnumber Children.
https://www.census.gov/newsroom/press-releases/2018/cb18-41-population-projections.html
. Accessed 5 Sept. 2020.
Duong, Hieu V et al. “National Characteristics of Emergency Medical Services Responses for Older Adults in the United States.” Prehospital emergency care : official journal of the National Association of EMS Physicians and the National Association of State EMS Directors vol. 22,1 (2018): 7-14. doi:10.1080/10903127.2017.1347223
By 2030, All Baby Boomers Will Be Age 65 or Older.
https://www.census.gov/library/stories/2019/12/by-2030-all-baby-boomers-will-be-age-65-or-older.html
. Accessed 5 Sept. 2020.
“Medical Spending of the Elderly.” The National Bureau of Economic Research, 2015,
https://www.nber.org/aginghealth/2015no2/w21270.html
.
Pérez-Jover, Virtudes et al. “Inappropriate Use of Medication by Elderly, Polymedicated, or Multipathological Patients with Chronic Diseases.” International journal of environmental research and public health vol. 15,2 310. 10 Feb. 2018, doi:10.3390/ijerph15020310
Fischer, Shira H et al. “Acceptance and use of health information technology by community-dwelling elders.” International journal of medical informatics vol. 83,9 (2014): 624-35. doi:10.1016/j.ijmedinf.2014.06.005
Pelletier, Allen L et al. “Vision Loss in Older Adults.” American family physician vol. 94,3 (2016): 219-26.
Bureau, US Census. Mobility Is Most Common Disability Among Older Americans.
https://www.census.gov/newsroom/press-releases/2014/cb14-218.html
. Accessed 5 Sept. 2020.
Web Content Accessibility Guidelines (WCAG) Overview | Web Accessibility Initiative (WAI) | W3C.
https://www.w3.org/WAI/standards-guidelines/wcag/
. Accessed 5 Sept. 2020.
Built With
google-web-speech-api
python
tkinter | One Click Pharmacy | A program addressing geriatric patients' medicine refills through voice-activated input, user-friendly reminder, and purchase directory. | ['Jethro Magaji', 'Sam Oberly', 'Amy Zhang', 'Yuncong Mao'] | [] | ['google-web-speech-api', 'python', 'tkinter'] | 82 |
10,436 | https://devpost.com/software/ec-art-nm0zuk | Inspiration
From the outset of the hackathon it has been our foremost mission to provide a platform that prioritizes accessibility to equitable care while confronting issues uniquely posed by the Covid-19 pandemic. With the transition of much of life’s daily activities online we understood that this cannot necessarily apply to all medical activities. We began by recognizing that the current apparatus of the healthcare system does not provide avenues for certain types of testing remotely. We decided to construct such a paradigm for the monitoring of disease progression in HIV/AIDS. Fears of infection with Covid-19 have a documented effect of discouraging patients to receive medical care. Seeing that HIV/AIDS patients can be immunocompromised we understood these fears to perhaps be heightened in these individuals. To quell anxiety about routine 3-6 month CD4 count checks for HIV/AIDS patients during the Covid-19 pandemic we decided to cultivate a method in which these checks could be conducted remotely. This is how we arrived at the idea to have mailed in finger prick samples for examination of surface Ig antibodies to determine CD4 count. We extended our project to encompass patient adherence after recognizing the particular challenge patient adherence presents in relation to HIV/AIDS and ART.
What it does
Our app is focused on encouraging patient ART adherence remotely. For HIV/AIDS patients we understand that non-adherence with treatment paradigms is a multifaceted issue grounded in the social determinants of health. Our app combines multiple approaches to encourage adherence with a patient-centered outlook. One of which is tracking CD4 count with a home testing kit. Patients submit a secure finger prick sample with our kit and mail it to a designated lab location. The finger prick sample is analyzed for surface Ig antibody from which CD4 count is deduced. This analysis can be conducted with a frequency in concordance with the patient's needs. Results are available on the app with disease progression benchmarks and are accessible to both patients and physicians. This will allow the patient to see how far along their disease is as well as what the effects of taking/missing their treatment are. HIV patients will also be able to see how close they are to developing AIDS as the distance to a CD4 count of less than 200cell/mm3 will be provided. All patients will also be able to see how far away they are from obtaining a severely low CD4 count of 50cell/mm3. Moreover, the home testing reduces the risk of Covid-19 infection in the clinical setting for these HIV/AIDS patients who are potentially immunocompromised and increases adherence if the patient were to skip the appointment due to Covid-19 fears altogether. The app provides other incentives for adherence including a points and rewards system based on medication logging. It also endows the patient with resources to aid in the resolution of the root cause of non-adherence that are specific to each identified cause. These methods of encouragement confront non-adherence and seek to induce behavioral change on an individualized level.
How I built it
Our app has its beginnings on a humble shared google doc of scratched ideas and sporadic feature additions. Once its foundational structure had been mapped out we sought to convert it to an app. We decided to do this using the prototyping website Figma. We used Figma to create interfaces that corresponded to the pages of the app and create the smooth transition amongst these pages. We used python for the data analysis aspect of the points system using the information regarding medication logging recorded on the google form.
Challenges I ran into
We would have loved to have actualized our app in person rather than over zoom. Using an online platform to conduct extensive meetings can prove rather tiresome and the lack of being together this weekend caused some scheduling issues. It was also difficult to attempt to use unfamiliar platforms that required self-teaching, but it also was a fun challenge at the same time. A recurring issue we faced was trying to accomplish all we wanted to do over the course of one weekend. We were frequently confronted with the issue of balancing innovation, ambition and feasibility.
Accomplishments that I'm proud of
We feel that we have made a product that could improve the quality and longevity of the lives of others. We feel our idea is innovative and important to improving the harrowing statistics of HIV/AIDS ART adherence in America. We also believe in our product-- we are confident that it would be effective if marketed. Our product is unique and reflective of our passion for remedying health inequities that stem from the social determinants of health. We also are proud that we were able to make a visibly pleasing product in addition to our content with the concepts behind it. We were able to do so without any prior knowledge of app development and limited coding experience. We are very pleased with our product and hope that it is received in the way we think of it, but even if not-- we are still very proud.
What I learned
As a group our specialities ranged from Biochemistry and Molecular Biology to Material Science and Biomedical Engineering. Although we were able to cultivate innovative ideas with our diverse range, few of us had some coding experience and none had experience in app development. Nonetheless we were able to learn how to create our own prototype for our app and gained exposure to multiple app developing platforms we tested. We also learned how to highlight each of our strengths to compensate for what we may have lacked in a certain area. Our amount of time spent focusing on what idea we wanted nearly spanned that of the app creation. In cultivating ideas for our app we learned how to abstract the most attractive ideas from several pitches. In fact, some of our interfaces for our platform stemmed from ideas originally pitched for a project focused on cancer treatment. In relation to the subject matter, everyone gained more exposure to the intricacies of allergy and antibody tests as well as HIV detection test. We also learned more about the crisis that is non-adherence in HIV/AIDS ART. In looking for ways to remedy non-adherence we learned what might be attractive to a patient in contrast to what might be discouraging (and inadvertently encourage non-adherence). In doing so we learned more about the patient-centered approach to medicine that implies a focus on the emotional as well as physiological needs of the patients.
What's next for EC-ART
The future for EC-ART consists of implementing all of the features that we had hopes of actualizing this weekend, but proved not to be feasible. One of which is including another feature on the physician end that serves as a calculator for drug resistance treatment paradigms. For example, if the CD4 count indicated acquired resistance to a certain drug such as a protease inhibitor, the physician would be provided with a list of drugs that were still effective for the patient (i.e. did not include any other protease inhibitors or any medications the patient were known to be resistant to). This addition to the platform would allow for accessible and cost-effective resistance testing for low and middle income communities-- where it is needed most and is currently lacking. We would also like to use such a resistance paradigm to model and monitor acquired resistance in other diseases like cancer for treatment recommendations. We would also love the opportunity to transform our current prototype into an actual product.
Built With
figma
python
Try it out
www.figma.com | EC-ART | Our app is focused on encouraging HIV/AIDS patient ART adherence remotely. It consists of an individualized, multifaceted approach to inspire patient adherence. | ['Ananya Swaminathan', 'Paroma Mukhopadhyay', 'Siya Zhang', 'Alannah Clarke'] | [] | ['figma', 'python'] | 83 |
10,436 | https://devpost.com/software/homehealth | Landing page
Diagnosis question - 1
Diagnosis question - 6
Results diagnosis page
User profile page
Contact us page
Inspiration
As our generation grows and technology advances, our world is becoming increasingly more fast-paced. Aging is a concern that gets put on everyone’s back burner, but nevertheless affects our lives through our loved ones.
It would be great if we could be by our parents' and grandparents’ side at all times to monitor their health, but this becomes increasingly close to impossible as most people are tied down by school, work, or other obligations. As a result, the elderly could purposefully downplay the severity of their own health conditions out of consideration for their caregivers, or perhaps be oblivious to the implications of their symptoms altogether. This is a frequent cause for individuals to miss the critical time frame to get the appropriate medical help, leading to consequences ranging from minor inconveniences to tragedy for the whole family.
What it does
With HomeHealth, we would like to provide a way for our users to do a medical pre-assessment based on symptoms they are experiencing and their basic health information.
Our program would provide the user with an analysis of possible conditions that they might be experiencing, encouraging them to see a physician in a more timely manner if necessary.
How we built it
For getting our Machine Learning Model to predict whether an individual tends to have Cardiovascular Disease or not, We first decided to get a dataset for Cardiovascular Disease, and then we tried to refine the data and dropped some unnecessary features like that it does not account into prediction. Later on, we started to structure the data by splitting it into Train Set and Test Set and also making sure that there are no duplicate entries as it might lead to overfitting the model and also took into consideration that our training data and test data comes from the same distribution of dataset after shuffling the dataset. Later on, we tried to work with different learning algorithms and even tried out using Neural Network for the same.
After taking into account several metrics like F1 Score, recall, and precision, we decided to go with Support Vector Machines and successfully completed it and getting around 68% accuracy. Later we tried to look into things and enhanced our model by tweaking it a little bit after which we were able to achieve an accuracy score of 73%.
To create an intuitive design for each of our users, simple and clear interfaces was required. We decided on an implementation of a few buttons, as well as clear indication and information on the screen. After wireframing, we used Adobe XD to iterate and prototype the final design.
We used HTML and CSS to build the basic structure of the webapp, as well as JQuery to manage some simple functionalities.
Challenges we ran into
Some challenges that we faced include the inaccessibility of comprehensive datasets regarding patient symptoms and diagnosis. Our training model could perform a lot better if we had more resources and time to perform the analyses.
We also didn't have enough time and experience to actually build the connection between the data analysis that we conducted via ML and the frontend webapp that we built.
Accomplishments that we're proud of
We were able to successfully train and model the data with our machine learning algorithm and get about 73% accuracy after analyzing the performance of our model through algorithms like RandomForestClassifier, K Nearest Neighbors, and Support Vector Machines (SVM), out of which we chose SVM over the other models as we want our model to be precise on the patients' data and were able to achieve that part.
We are also proud of our design of the webapp, as it is a clean interface that we believe is easy to navigate, while still having some flair in the look!
What we learned
Time management was the biggest key lesson in this Hackathon, where brainstorming ideas and then building upon that within a very short span of time is itself a big challenge. Team coordination is another factor that we improved on throughout the experience, as almost all the team members were from the different parts of the world and to have coordinate with everyone being in different timezones was key to our project. It was also a great learning experience for us to have a team of people from different expertise to build a final project, where our members come from different domains such as Bio-Medical Engineering, Computer Science and Engineering, and User Experience/User Interface (UX/UI).
What's next for HomeHealth
HomeHealth is planning to expand to assess an increasing variety of illnesses. With the right resources, we will be able to create more options for symptoms and detailed questions. Our purpose is to create a platform for our elderly that is as close to their needs as possible.
In order to do that, we also need to conduct user tests to see if the design is understandable and comfortable for them and for their caregivers.
Built With
adobe-xd
css
html5
jquery
machine-learning
Try it out
homehealth.neocities.org | HomeHealth | Making a medical pre-assessment for the elderly and connect them with their caregiver or medical service to ensure they receive critical care in a timely manner. | ['Yiting Chen', 'Angela Chen', 'Harsh Khilawala', 'Marie Hennion', 'Yisang Luo', 'Yisang Luo'] | [] | ['adobe-xd', 'css', 'html5', 'jquery', 'machine-learning'] | 84 |
10,436 | https://devpost.com/software/patientsense | Patient Sense
Doctor's Visits
Medications Page
Adding a new medication
Inspiration
I rarely remember the last time I had an eye exam and this got me thinking. I really should be remembering them, in addition to the drugs I take. For instance, I never knew that fish oil pills and ibuprofen could react adversely. In a time when patients are far away from their doctors, it it more important than ever for patients to become advocates of their own healthcare. And this is as simple as being cognizant of the drugs they are taking.
What it does
PatientSense allows the user to track the medications they are taking. If any of the combination of drugs they are taking may have an adverse reaction, the app will notify them. The patient can then discuss this with their practitioner. Additionally, the app allows the patient to keep track of a different types of appointments all in one location.
Having a centralised location of drug history and medical history prepares the patient for a virtual visit and saves time of the practitioner who spends less than digging up the patients heathcare history.
How I built it
In video above!
Challenges I ran into
Mostly the time constraints and being a one person team.
What's next for PatientSense
Adding some sort of ML to make virtual health more accessible.
Built With
api
dart
firestore
flutter
Try it out
github.com | PatientSense | Educating patients about their healthcare for a better virtual experiance | ['Lucy Hao'] | [] | ['api', 'dart', 'firestore', 'flutter'] | 85 |
10,436 | https://devpost.com/software/hey-doc-health-services-q9dpui | Inspiration
A standstill situation created by the pandemic and the problems faced by our near and dear at remote places to reach out to the medical facilities kindled our zeal to think of a platform that would facilitate people access medical facilities staying at home.
What it does
The app is a consolidation of all the possible medical services which could be provided at your doorstep. In short, it is a "REMOTE REMEDY"
How we built it
Using thunkable , fire base , Adobe photo shop, lunapic, etc.
Challenges we ran into
The pandemic which ignited the fire in us to develop the app, doused the feasibility of developing it as the proximity of the members of the team was not possible, which is a helping factor to discuss, share and complete the work.
Much of research work was needed to extract the information regarding Covid-19,the basic medication and medical emergencies.
Accomplishments that we're proud of
The objective of our app is to serve for a noble cause and it makes us proud as we provide video consultancy servises with doctors and door delivery of medicines which would help the senior citizens the most.
What we learned
The development of this app facilitated us to acquire knowledge of various medical terminologies and pathology which is completely beyond the genre of our studies. It provided us synergy blended with perseverance and enhanced our coding skills.
What's next for Hey Doc Health Services
This is a prototype. This would be further expanded by conducting surveys in various areas and modifying it according to the real life challenges, creating separate portals maintaining huge databases and building an interface to link the databases.
Built With
firebase
google-maps
google-play
google-web-speech-api
java
photoshop
thunkable | Hey Doc Health Services | Pocket Health Services | ['Vishnu Bharadwaj', 'Venkata Sirisha Maddala', 'DARSI S S V GOPI KRISHNA 19BCE7360', 'Harsha vardhan Popuri', 'MOPARTHI BAVITA 19BCN7016'] | [] | ['firebase', 'google-maps', 'google-play', 'google-web-speech-api', 'java', 'photoshop', 'thunkable'] | 86 |
10,436 | https://devpost.com/software/co-health | Inspiration
The global outbreak of Covid-19 and the nationwide lockdown have caused all of us to dramatically change our daily routines, our physical activity and eating habits, and how we connect with our loved ones. All of these changes in our lives have had dramatic impacts on our mental health, decreasing the quality of our lives. Unfortunately, many people do not have the means to access or afford reliable mental health resources, and as a result have no other choice but to resort to unhealthy coping mechanisms or worse come to worse, suicide. No one, regardless of who they are or where they come from, should be denied mental health care. It’s time that we stop shying away from mental health issues and start discussing and coming up with solutions for them. It’s time that we start giving mental health the same value that we give to physical health because without peace of mind, we cannot live a fulfilling life. Mental health is an essential part of overall health that we as a society must stop ignoring!
What it does
Provides people, regardless of their age, gender, sexual orientation, or personal beliefs, with readily available and FREE mental health assistance and resources during a time when access to quality therapy and in-person appointments are limited. The app is simple so that it can be easily used by all people, even those with limited technological abilities.
How we built it
We built this app using Android Studio with the Java programming language.
We started out by building a general overview/blueprint of what to consider for our app. Then we sketched a rough design of how the app will work and what features and functions to incorporate in our app. When we all mutually agreed on our ideas, we started developing with Android Studio and contributed our code with GitHub to bring our ideas to life. We all contributed equally to both the front-end and back-end, and along every step of the process extensively collaborated and learned from each other.
Challenges we ran into
Only two group members had prior computer science and coding knowledge, so it was a bit difficult to create the app at first. Fortunately, they were able to come up with an effective method to explain the basics of GitHub to the rest of the members.
Accomplishments that we're proud of
We were able to create an app and plan out how we would implement it in less than 48 hours. But most importantly, we all learned a lot from each other. We all came from different disciplines and thus we were all teachers to each other. The mixture of all of our different ideas allowed us to come up with this incredible and much needed app. Although we didn’t get through everything we had planned, we are grateful to have learned so much in such little time. We hope to continue working on this app even after MedHacks and hopefully launch it in the near future!
What we learned
Coming in with limited programming experience, our team learned that we all have the ability to learn and accomplish difficult tasks with hard work and diligence. We learned the basics of developing a native app with Android Studio as well as managing version control software such as Git. For a lot of us it was our first time learning about the command line and unix-based terminal commands. Additionally, we learned the importance of system-design in a software engineering project as we had to explore options to store user information in a database and interface this data with other user information. There’s nothing in the world one cannot accomplish if they are dedicated and passionate. We should all strive to better ourselves and learn something new everyday. The world is full of endless knowledge that we should never cease to seek out. The more we learn, the more we can contribute to the world and the better the world can become. We will take these lessons with us wherever we go.
What's next for Co-health
We must add more criteria to the support group options in our app as well as include more mental health resources. We also plan on including an interface directed specifically towards the elderly, as they have been drastically impacted by the lockdown. In addition, we hope to make an iOS and web version of this app so that it can be accessible to Apple users and those who do not have smartphones. This will require us to refactor our code to a cross-platform framework such as Flutter, so we can write up code that will work on any type of device. We are far from done, as our app requires a lot of editing and there is always something that can be improved. We anticipate adding scalable database logic using Firebase so that we can create customizable chat rooms for people who want to talk about their problems in a community where others can relate with their problems. Once our application is fleshed out, we will start planning on deploying our app on the market so it can make an impact in the area of mental health.
Built With
github
Try it out
github.com | Co-Health | To provide people, regardless of their age, gender, sexual orientation, or personal beliefs, with readily available and FREE mental health assistance | ['Aysha Khan', 'John Quitto', 'Meagan Nguyen', 'Weronika Wasniowska', 'Swastik Barat'] | [] | ['github'] | 87 |
10,436 | https://devpost.com/software/pain-freeg | pain-frEEG Physician Dashboard
pain-frEEG Patient Data
A Sneak Peek into our AI Model
Inspiration
Canada is currently in the midst of an opioid crisis. According to the Canadian Centre on Substance Use and Addiction, there were more than 11,500 apparent opioid-related deaths between January 2016 and December 2018. These lost lives make the opioid crisis a leading public health and safety concern. Opioid overprescribing, which is a plausible result of disingenuous marketing practices, has played a role in our current opioid crisis. Provincial regulators have already investigated doctors who prescribe high doses. An unintended consequence of this investigation is that some primary care physicians now practise in a climate of fear, concerned about complaints to their governing colleges, potential investigations, or practice restrictions owing to opioid mismanagement. It is estimated that 20% of Canadians living with chronic pain might not receive adequate care. Patients experiencing chronic pain also may not be able to accurately communicate their feelings.
What it does
pain-frEEG a personalized pain management application relying on EEG signals for doctors to objectively assess patient pain levels and allow them to make informed decisions when prescribing pain medication. This is particularly applicable for patients suffering from chronic pain.
Our system will allow doctors to prescribe doses as that are as low as possible while ensuring adequate pain relief for the patient, based on objective pain measurements as read by EEG signal artifacts and informed by patient history including data on patient pain levels, responsiveness to medications, and qualitative notes.
How we built it
Our team split into a front end and back end effort.
The front end web app was designed and wireframed on Figma. It was then coded using HTML, CSS, JavaScript, and Bootstrap.
The back end opened up a Python Google Collab on which they mapped the EEG data to a 'pain rating'. The capstone to the decision making was a logistic regression ML solution. This was preceded by some preprocessing such as filtering the data for artifacts and in terms of frequency; all of which was done according to a research paper's methods that linked pain and EEG.
Reference research paper:
Normalization of Pain-Evoked Neural Responses Using Spontaneous EEG Improves the Performance of EEG-Based Cross-Individual Pain Prediction (
https://www.frontiersin.org/articles/10.3389/fncom.2016.00031/full#h3
)
Challenges we ran into
We weren't able to find a lot of accessible datasets for our specific needs online. This is something we will look into more in the future to tweak and train our model. For front-end, we started off by using a software called Anvil to build our web app, but we ran into a lot of problems and had to switch gears. Also, a lot of us are first-time developers and hackers. We didn't have a lot of background coding so we had to learn a lot along the way!
Accomplishments that we're proud of
Of finishing the ML model, wireframing our app interface on Figma, and researching into the opioid crisis to really understand the scope of the problem.
What we learned
How to collaborate on a project online! Especially since our team came from different time zones and had different commitments over the weekend, we needed to adapt quickly and maintain clear communication.
What's next for pain-frEEG
We're looking into connecting it to EEG hardware (e.g. Muse Headband) and testing out our ML model using real data. We're also hoping to finish the development of our web application and connecting the front-end with the back-end model to display real-time EEG and pain score data.
Built With
bootstrap
css
figma
google-colab
html
javascript
machine-learning
python
Try it out
colab.research.google.com
github.com | pain-frEEG | An EEG-based pain monitoring system for the better administration of opioids. | ['Jennifer Tsai', 'Julia Cosma', 'Michael Solodko'] | [] | ['bootstrap', 'css', 'figma', 'google-colab', 'html', 'javascript', 'machine-learning', 'python'] | 88 |
10,436 | https://devpost.com/software/nursing-home-assist | Nursing Home Check Homepage
Nursing Home Facility page
Nursing Home Facility Complaints page
Nursing Home Facility Comments page
Resources page
With 46.3 million people advancing the age of 70, 80% of them suffering from at least one chronic disease, and 1.4 million people residing in the nursing homes of the United States, there is a vital need to develop a platform which gives the older adults and their families an opportunity to choose the right nursing home that matches their requirements. Oftentimes, our nation’s nursing homes have been under-regulated and not held accountable, which leads to some serious and widespread issues such as negligence and elder abuse. We wished to create an anonymous reporting service for elderly patients and their families to talk about their experiences at that nursing home. This app would provide a brief insight into how the nursing homes function, the major complaints and ordeals that the residing patients have to face, and resources that provide consolidated data on law, recreational services, and assistance on how to seek and apply for health insurance. This app would also serve to connect people through these shared problems. The UI of the application was built using Adobe Xd. The major drawback during the event was the difference in the time zones of the participants which became a challenge we needed to workaround. The three of us also lacked proper knowledge in the computer science and henced focused to making a good UI design to best represent the functions and features of our app.
Built With
adobe-xd
Try it out
xd.adobe.com | Nursing Home Check | An anonymous reporting service for elderly patients and families of these patients to talk about their experiences at a nursing home. | ['Harika Nathi', 'Pooja Madhanraj', 'Gauri Thukral'] | [] | ['adobe-xd'] | 89 |
10,436 | https://devpost.com/software/pharmalarm-yq5mz8 | Welcome screen
No current tracks
Sample data etnry
Current Tracks
Calendar
History of tracks
Sample coupon
Notes page for failed track
Inspiration
One of the biggest problems with patient adherence is the lack of follow-through with prescription directions. Our own team member didn't follow the doctor's orders and ended up getting bronchitis twice! With the problem being so widespread and close to home, we wanted to do something to address it.
What it does
The app only takes in data regarding the usage of the drug so that the user does not need to input any personal information. Each drug is tracked and the user is reminded if they have not taken the required doses. Each dose is taken with the app camera which tracks the pill to make sure the patient takes it. Once the entire prescription is completed, the user is eligible to receive a free coupon to a restaurant in their local community.
How I built it
The main camera feature was built in Python using OpenCV. Much of the app was prototyped in Figma.
Challenges I ran into
80% of our team is pre-med! It was difficult finding a balance between our idea and what we were actually able to develop technologically in the short timespan.
Accomplishments that I'm proud of
Our team really came together and worked through the challenge of this hackathon being hosted virtually. We all worked on something completely new and really learned a lot.
What I learned
Computer vision, OpenCV, Figma. Everything our team did was new to us.
What's next for Pharmalarm
Reaching out to see if this is an idea people are actually interested in and hopefully have more time to develop a working prototype!
Built With
cv
figma
python
Try it out
www.figma.com | PharmAlarm | Patient Adherence through Computer Vision | ['Vivian Khuu', 'Alice Zeng', 'Abbey Kim', 'Margarette Wang'] | [] | ['cv', 'figma', 'python'] | 90 |
10,436 | https://devpost.com/software/medherence-6h27km | Inspiration
Whether it is from complex illnesses that require many medications, overprescription, or dementia, elderly patients struggle to take their medicines properly. It is equally difficult for doctors to know whether their patients are adherent. These concerns led us to create MedHerence.
What it does
MedHerence enables caregivers for patients with complex medication regimens to organize medical prescriptions, track medication adherence, and find community resources.
How I built it
We used Google Maps API, Google App Engine, Google Firebase. The website itself was created and designed using HTML, CSS, and Javascript. We harnessed the capabilities of the Google Cloud Platform by using Google App Engine to host the application, while storing all database items on Firestore. We choose to use Firestore because of how simple (yet powerful) it is. By using Firestore we can easily export the patient information to CSV files which can be imported into already existing EMRs easily. The Google Maps API allowed us to build an interactive map which shows care providers closest to the patient.
Challenges I ran into
1) For three of the members of our team, this was our first hackathon. Additionally, two of us had zero coding experience and two other members had limited experience.
2) Cors Headers not being set properly
3) App engine returning an Internal Server error because the app was not starting properly
4) Ability to update database records for drugs
And of course, learning how to communicate and work together as strangers remotely while keeping our sanity!
Accomplishments that I'm proud of
We designed a project from scratch, and developed an aesthetic to match it.
We got the app to work properly on Google Cloud, and figured out how to integrate data from various sources including a drug interaction API, and had a lot of fun.
What I learned
We learned how to integrate multiple APIs into a web application and website hosting!
What's next for MedHerence
We believe that our idea and prototype can genuinely help the aging population, especially in a time when there is so much uncertainty surrounding the elderly. Covid-19 is taking a huge toll on our grandparents and this is our way of showing that we care. We want to make a difference in the world. We believe medicine adherence is a tractable problem that will help save lives.
Built With
app
cloud
css
firebase
google
html
javascript
maps
Try it out
medherence.uk.r.appspot.com | MedHerence | A working memory space for caregivers of patients with dementia | ['Daniel Belkin'] | [] | ['app', 'cloud', 'css', 'firebase', 'google', 'html', 'javascript', 'maps'] | 91 |
10,436 | https://devpost.com/software/ezclinic | Inspiration
We were inspired to design this app because we were interested in tackling an actual issue that people currently had and were struggling with. That is to say, as COVID-19 is a topical issue, we were interested in thinking about solutions which would pertain to quality care through the pandemic and assuring patients adhered to protocol. Furthermore, we were interested in learning more about user interface design and understanding more from the user’s perspective on what makes an app easy to use and captivating.
What it does
Our app effectively ensures that patients are receiving healthcare from clinicians without overcrowding clinics and breaking COVID-19 protocol. Using app, patients would be able to book appointments and get notified as to when it is safe to enter a clinic, thus ensuring that there are not too many in a clinic at once. Clinicians can manage the flow of patients and find spots for patients to get treated safely, and avoid catching the virus. In doing this, patients are respecting COVID-19 protocol, and are keeping themselves and others safe and healthy while still getting the care they need. Clinicians will also be respecting protocol while not being overwhelmed by patients and ensuring that patients are respecting the 2m rule once in the clinic itself.
How we built it
This app was built through the use of Figma. Each page of the app was designed carefully to ensure that each goal was met. We then used Figma's networking system to link all the pages together and make it run smoothly. When running the demo on Figma, make sure to click the play button in the top right corner to explore the app as if you were using it yourself.
Challenges we ran into
Figma was a new tool for my teammates and I, and as such we encountered many challenges along the way. As our project revolved around design, we first had to ensure that the design of our product was sound and consistent. This took a lot of effort to get right, as Figma has a large margin of error and even small moves can mess up a lot of progress. Furthermore, when we were linking pages to make the app cohesive, certain elements were not being recognised and thus hindered our ability to string the pages together. We had to analyse what the source of the problem was and determine where to go from there. Finally, as our project focused heavily on app design instead of coding for functionality, we had to learn tricks and get creative with Figma to ensure that our app was working properly and was not clunky in behaviour. After some trial and error we were able to ensure that all pages were linked appropriately and we succeeded.
Accomplishments that we're proud of
Our group ran into a few problems concerning Figma and so we were proud that we were actually able to overcome those obstacles rather than give up or not include a certain function we wanted simply because it was too hard. We were also proud of our collaboration skills because although we sometimes miscommunicated or disagreed on ideas, we were not frustrated with one another and learned to make decisions that benefited us all. Lastly, we were proud of being able to create this prototype within one night since we learned to be efficient, work under pressure and compromise when necessary to develop a functional product with a purpose.
What we learned
Our team learned to use the prototyping and design features & functionalities involving Figma. Overall, we collaborated together using Figma’s group edit capability and underwent the process of developing an interactive prototype of an app. This allowed us to develop a deeper understanding of how to use apps like Figma and familiarised us with app design.
What's next for EzClinic
Our next steps for the EzClinics app would be to make the app functional by means of coding and data collection. We may also make more visual updates as the current app demonstrates only the basic features and general portrayal of the app interaction and organization. We may also think of expanding EzClinics to more social platforms by including other screens where users can share EzClinic reviews on their social media, and use other accounts (i.e. Google and Facebook), to log in to the app to make it more accessible and easier to register with.
Built With
figma
Try it out
www.figma.com | EzClinic | An app to simplify your experience with COVID-19 and clinicians; ensure that you're following protocol and still receive healthcare in a timely manner! | ['Rushil Dua', 'Sherry Liu', 'Farhana Masood'] | [] | ['figma'] | 92 |
10,436 | https://devpost.com/software/medical-hub | Inspiration
COVID-19 pandemic forces people to stay at home and not to be in a public place for a too long time. Moreover in the hospital where people are not in their best condition. One way to prevent COVID-19 spread is to reduce people's time in a public places. Sometimes, the medical facility has a huge queue and force people to wait for a long time. It's not convenient for the patient, especially in this pandemic situation.
In my country, there is no general application to book a doctor's appointment and a safe integrated electronic health record. Every hospital has its own and it will be inconvenient if you need to go to another health facility some times. So I feel like there needs to be an app that integrates health facilities so patient will be more convenient to do some medical services.
What it does
The vision of this project is to be as its name: A Medical Hub. That allows users to book an appointment with a doctor with their specific needs in the nearest medical facility. It also provides First Triage service so the doctor will get a better insight even before the patient gets into the health facility. And it is also integrated with Blockchain-based Electronic Health Record so the patient's medical information are safe and it can be accessed whenever it needs to be.
But this is my pilot project, so basically I just made a landing page with some log in features.
How I built it
Using No-code web-app builder: Bubble.
Challenges I ran into
Since this is my first hackathon experience and I have no prior experience with coding a web application, I tried to pour my idea into the basic landing page. Of course this has no fancy features yet, just a log in feature.
Accomplishments that I'm proud of
First time of me making a web-app.
What's next for Medical-Hub
It can be developed to have its function properly as I explained above.
Built With
bubble
Try it out
medical-hub.bubbleapps.io | Medical-Hub | Your all in one Medical Services App | ['Fashalli Giovi Bilhaq'] | [] | ['bubble'] | 93 |
10,436 | https://devpost.com/software/blockchain-thingy | Inspiration
The inspiration behind Omniscience stems from our personal lives. Over the past decade, we've observed growing concerns for privacy in the healthcare industry as well as a growing number of groups that seek to exploit such data for personal gains. We want to give control of this data back to its rightful owner, the patient. Additionally, we aim to consolidate patient data in one place with a simple and easy to use UI to eliminate the messy, fragmented, and unreadable medical records we see in the outdated online healthcare services of today.
What it does
Omniscience is the first medical data application designed with the patient's privacy and security in mind. The application uses secure blockchain technologies to guarantee that no one can tamper with or steal a patient's medical records. As a bonus, patients also have the option to control which medical professionals and research institutions have acesss to their personal information and when.
How we built it
We built Omniscience as a web application through Ethereum Studio, a Solidity IDE. With their built in integration to the existing blockchain network, we created patient tokens through Solidity that securely gave the patient and only the patient power to grant and control access through their tokens. This contract system was combined with a html/css/javascript frontend user interface through Web3.js, an Ethereum API that allowed us to interact directly with the blockchain.
Challenges we ran into
While conceptualizing and developing Omniscience, we ran into many technical issues as none of us at KAGA had worked with blockchain technologies before. However, we were able to solve these through online tutorials and hands on experimentation through both simulation and deployment of our app to the Ethereum blockchain. A key conceptual issue that we had as well was guaranteeing patient security and access powers. Although the blockchain itself is not modifiable, we had to figure out the logistical issues of how access tokens should be distributed and maintained to keep data secure.
Accomplishments that we're proud of
Learning and applying new blockchain technologies
Developing our own custom Ethereum token for sharing/accessing patient data
Integrating our backend with our frontend web application through Web3.js
Creating a working model of our implementation in 24 hours
Deploying our application to the Ethereum blockchain
What we learned
We learned many things in the fields of blockchain technologies as well as gained awareness for many of the challenges that medical and non-medical industries face in way of customer privacy and security. Technologically, we gained skills in Solidity, blockchain web application integration, and Ethereum contract creation/modification.
What's next for Omniscience by KAGA
We hope to expand our features and services to include personalized data plans for each of our clients and their patients, while maintaining a relatively simple and accessible platform for all. Through this, the end goal for Kaga would be to eliminate middle-men between healthcare providers and patients to create a more transparent healthcare industry.
Built With
blockchain
css
ethereum
html5
javascript
solidity
web3
Try it out
studio.ethereum.org
docs.google.com | Omniscience by KAGA | A blockchain-based technology designed with patient data protected and permissions transparent. Most importantly, you’re in control of who sees your data and when. | ['Aaron Chen', 'Kunal Joshi', 'Ashley Wang', 'Gilbert Fan'] | [] | ['blockchain', 'css', 'ethereum', 'html5', 'javascript', 'solidity', 'web3'] | 94 |
10,436 | https://devpost.com/software/medtrack-0tr89g | Inspiration
We recognized that there is a need in the healthcare system for a medication management system and symptom tracker for patients. Patients who use antibiotics, birth control, or any other medication that runs over a period of time can benefit from a prescription schedule and a place to record their thoughts about how the medication affects them. Doctors can use this app to see how patients feel from the medication prescribed and make changes accordingly.
What it does
Inform patients more about their medications, Allow medical examiners to see patient’s progress and alter for better treatment strategy, Provides researchers with data to improve drugs
How I built it
We built it using Github, Android Studios, Flutter, and Firebase, and using the Flutter-related Dart language.
Challenges I ran into
We were new to Flutter and Firebase, so it took about 7hrs to just set up flutter on android studios, and we had to deal with several debugging issues as well.
Accomplishments that I'm proud of
It was all of our first hackathon and we made a working application by implementing a new software and language within 2 days.
What I learned
We learned how to incorporate firebase and flutter with applications. We also learned how to properly and fully use GITHUB. Finally, we learned a lot about the medical industry and how much innovation is still needed.
What's next for MedTrack
We would like to collaborate with researchers, pharmacists, and doctors to further improve our application.We want to create a Portal for Pharmacists to easily upload patient’s medications schedule, collaborate with researchers to help patients respond better to their treatment, connect with a pill dispenser device called Hero which keeps track of patients’ pills to automate responses, and Informs patients what step to take if they miss a dose.
Built With
dart
firebase
flutter
Try it out
github.com
docs.google.com | MediTrack | A mobile application that facilitates patient organization, collaborative research and communication between patients and health care professionals. | ['Vrinda Jain', 'Anjola Adewale', 'Akram Weheba', 'Bhavini Lakshmanan', 'Aditya Anikode'] | [] | ['dart', 'firebase', 'flutter'] | 95 |
10,436 | https://devpost.com/software/exercise-in-place | logo
Good Feedback
Potential Arm Injury due to bad posture/pose Feedback
Inspiration
One of the biggest challenges when it comes to aging in place is the lack of physical activities!
Exercise in Place
is inspired by the idea that seniors can be independent and exercise with the supplemental help of a computer.
What it does
Exercise in Place
is a website that contains stretches and movements to exercise in place. After selecting a stretch, the user is presented with an image to mimic and their webcam recording highlighting the posture. Throughout the time of the stretch,
Exercise in Place
constantly checks if the posture is valid for that exercise to minimize the risks of injuries through the activity. Not only that but,
Exercise in Place
gives instant feedback to the user about his current posture and progress. By doing that,
Exercise in Place
is able to make exercising in place for seniors easier, safer, and more effective!
How I built it
The front-end of the project was built with HTML, CSS, and Javascript. The backend was built on a Python Flask server and the whole application is deployed on Google Cloud. The Machine Learning model was fed with our own dataset on a Google Cloud Bucket with the pictures, poses, and exercises. The model was built with Tensorflow in Google's Pose teachable machine. The evaluation of the video-stream happens in the Javascript with the Tensorflow library.
Challenges I ran into
Since
Exercise in Place
wanted to detect the exercises, find problems, detect posture, and avoid potential injuries, a custom dataset was needed to make sure the model worked. This took some time to make due to the adjustments of the dataset, WebGL crashes while building the model, deployment errors, and bad upload velocity.
Accomplishments that I'm proud of
I'm proud of developing a really cool platform that uses Machine Learning to facilitate exercises for people that are aging in place!! It was amazing to see the pose algorithm functioning correctly. I'm also proud that I developed my first dataset with images.
What I learned
I learned to be patient and to restart my computer multiple times (before the crashes). Besides that, I learned how to create a Machine Learning model through Google's Teachable Machine and export it using Javascript. I learned how to extract frames from a video to build a dataset.
What's next for Exercise in Place
Exercise in Place has a bright future on its path. The next step is to make a collaboration tool that lets professionals upload valid and invalid exercises to improve accuracy and extend benefits.
Domain.com Submission:
https://www.ExerciseInPlace.online/
Built With
css
google-cloud
html
javascript
python
tensorflow
Try it out
www.exerciseinplace.online | Exercise in Place | Improving unsupervised exercising of seniors with Machine Learning and Image recognition on demand | ['Nathan Kurelo Wilk'] | [] | ['css', 'google-cloud', 'html', 'javascript', 'python', 'tensorflow'] | 96 |
10,436 | https://devpost.com/software/medicine-management-system | add product
backup database
add customer
forntview mdf form
stock control(remain calculate)
customer view
view invoice
login form
print recipt
POS
register forms
product return (def medicines)
history
product view
sales view
Inspiration
learn visual basic programming for desktop devoplment also first project medicines management system
big data control control database large data store and retries to the data
What it does
auto calculator management stock for medicines
How we built it
concept of the management hosiptal
Challenges we ran into
database management secured store own system then located place
Accomplishments that we're proud of
What we learned
learn visual basic programming and Microsoft access 2016
What's next for Medicine management system
Built With
ms-access
visual-basic
Try it out
github.com | Medicine management system | Medicine management stock control | ['Hemakumar M', 'Nirmal Kumar'] | [] | ['ms-access', 'visual-basic'] | 97 |
10,436 | https://devpost.com/software/dr-companion-phang0 | Login
Home- Summary
Calendar Journal
Settings
Share Report
Inspiration
Many of the debilitating medical disorders faced by the elderly would benefit from a daily, weekly, or monthly tracking methodology. In the case of Parkinson’s disease, a disorder in which 96% of cases are found in people over the age of 50, the symptoms experienced can vary widely and often progress at different rates from one person to another. Both of these factors need to be addressed in the development of a personalized treatment plan for effective care, something that is also the case for other progressive disorders faced by the elderly such as arthritis, hypertension, and glaucoma. Because it can be difficult to remember symptoms and progression in time for a doctor visit, the implementation of a tracking, storing, and visualization mechanism would be useful for both those with Parkinson’s and other chronic illnesses to take charge of their own health and medical professionals treating the disorder.
However, many current symptom tracking solutions require navigating complex apps and logging symptoms through typing them out on a daily basis. These solutions may become a daily hassle to fill out and are not elderly-friendly, as they require patients to figure out how to navigate yet another app.
In addition to this, the elderly are one of the most socially isolated populations in the country, at times as a result of their feeling like a burden to their family members, and it has been shown that conversational interaction is immensely beneficial for their mental health. Being able to speak aloud about their day while taking active control of their disorder by tracking their symptoms would allow the sort of independent operation that promotes resilient aging in place without emotions of feeling like a burden.
The need for conversational interaction and greater ease-of-use that elders often seek in tech-based medical tools, is what inspired the creation of Dr. Companion, a symptom-tracking conversational companion made to promote elderly health empowerment.
What it does
Dr. Companion is a resource for elderly patients with chronic disorders to track, store, and display their symptom progression from their homes in an automatic, daily conversation prompted by Google Assistant on any device. While recording data on symptoms experienced by users during the day, the product serves as a conversation companion, engaging the user in a friendly, vocal format uniquely suited to the desire for companionship and technological ease-of-use among the elderly. The questions included within the app were acquired from well-known organizations, peer-reviewed research, and personal correspondence over the course of MedHacks with medical professionals, including both a physician and a pharmacist with experience treating Parkinson’s patients.
Upon registering the app, users select the diagnoses they have from a drop-down menu. Users also have the option to select the time of the day when they are engaged in conversation with the device.
At this point, the app will be set up for users to have a daily conversation with questions regarding symptoms specific to their disorder that they may have experienced during the past day. These questions will be interspersed in a conversation on how they are doing, overall serving as a talking partner and attaining details about their quality of life.
The data compiled from these conversations will be recorded in a Calendar Journal summarizing their symptoms, diary, and mood over the course of the use of this product, as well as Summary Charts such as the patient’s most frequently occurring symptoms and changes in daily pain levels. Ultimately, this Calendar Journal and Summary Charts can be emailed through the app to medical professions to understand both the progression of their disease and the emotional state of the patient on a day-to-day basis. These are two factors that are often not immediately available to either the patient who may not remember how they fared between doctor visits or medical professionals who are limited to singular sessions to understand their patients’ disorders.
How we built it
We created a Google Assistant conversation action that interfaces with a React Native App via Firestore as the database. Because of our audience, we especially wanted to focus on building a very intuitive user experience. We accomplished this by designing a voice user interface that leveraged the Natural Language Understanding capability of the Google Assistant to create an effective conversational model. Creating this conversation model with intents, scenes, types, and prompts required testing several workflows and providing useful training phrases for NLU to be effective.
Additionally, we utilized Firebase Cloud Functions as a backend to fulfill requests to store data in Firestore. We also leveraged other Firebase resources here by using Firebase Authentication & Firestore. By using Firebase, it made it simpler to integrate both components of our project -- the app and action. The Firestore database was used to store user information needed for symptom & mood tracking and the diary.
The React Native App was built with a focus on easy readability and simplicity for the elderly target population. The straightforward interface has three main screens (Summary Charts, Calendar Journal, Settings). It was built on several React Native UI kits, reading data from the Firestore database.
Challenges we ran into
The learning curve for working on a React Native App and Google Action for the first time was large and presented as a challenge for our team, along with figuring out a strategy to share user data between the Google Action and the mobile app.
Accomplishments that we're proud of
We ultimately were able to understand how to use and connect these new technologies, which is an experience we can be proud of and will be useful in the future. Most of all, we consider our creation of a user-friendly, intuitive, and impactful companionship experience to be a considerable achievement. This is particularly impactful because it centers on a large portion of the population that has difficulties remedying the discordance between the human need for companionship and conversation and the desire to age in place with independence and resilience.
What we learned
Participating in MedHacks was a great experience, particularly because we were able to connect and learn from a large community of talented individuals as enthusiastic about tech-based healthcare innovation as we are. Through this experience, we were not only able to learn how to use new technology but also realize how existing technology can be leveraged for a specific demographic and population--and why the use of technology in this way can often lead to the most impactful health solutions.
What's next for Dr. Companion
The following are some features we hope to include or improve in the existing product:
Improve the conversationality of the app using a better natural language understanding model and machine learning
Include a feature allowing for users with diseases similar to a disease already built into the app to be prompted with the same questions
Include additional disorders that are commonly faced by the elderly such as hypertension, glaucoma, and other forms of arthritis
Allow users to create their own “custom symptoms” and add them in as new categories among the existing questions for a particular disorder
Utilize ML to have the product remember symptoms mentioned before and prompt the user about them in the following days or weeks, providing for a framework that will “keep up with you” as a friend or companion might
Built With
cloud-functions
cloud-functions)
css
dr.-companion-tracks
expo.io
firebase-(authentication
firebase-authentication
firestore
google-actions-builder
google-assistant
html
javascript
react-native
react-native-calendars
react-native-chart-kit
stores | Dr. Companion | With elderly often preferring interaction to confusing app interfaces, Dr. Companion tracks, stores, and displays patient symptom progression via a conversational companion powered by Google Assistant | ['Indhu Gunda', 'michzzzm', 'Mahija Ginjupalli'] | [] | ['cloud-functions', 'cloud-functions)', 'css', 'dr.-companion-tracks', 'expo.io', 'firebase-(authentication', 'firebase-authentication', 'firestore', 'google-actions-builder', 'google-assistant', 'html', 'javascript', 'react-native', 'react-native-calendars', 'react-native-chart-kit', 'stores'] | 98 |
10,436 | https://devpost.com/software/independence_app | Inspiration
One of the 3 tracks for this year's MedHacks was Aging in Place with Resilience and Resources. At first, our group overlooked this track as we preferred the idea of the other 2. However, after listening to health care professionals at MedHacks and experiencing workshops focussed on aging resiliency, we realized the difficulties dementia patients and their families have to go through. Along with the known need for loved ones to check up on relatives and elderly individuals wanting independence, we agreed to tackle this issue.
What It Does
Through an app, our project, Independence, assesses your loved ones' mental and physical status along with offering reminders for important daily events such as taking medication. Due to possible visual and motor impairments, the application will both read the questions aloud and convert speeches to text. This information will then be added to a health record that can be checked by medical practitioners and be used for diagnosis and tracking of neurocognitive disorders, mood disorders, and injuries. With the creation of a health record, the information is also sent to the primary contact of the elderly patient. This allows loved ones to check up on their family members and have peace of mind without removing the feeling of independence that many people desire. Should the checkup not be completed that day, a message is sent to the primary contact alerting them that something could possibly be wrong.
What We Larned
As the main technical focus was the app, we all learn a great deal about app development. Collaboratively, we learned that rather than constantly brainstorming ideas until we find the perfect idea, it can be more effective to select one good idea and fully commit to it.
How We Built It
To make the app, we employed the software development kit, Flutter, and Dart as our primary language. With Flutter's diversity, we were able to utilize many plugins to create specifications such as text-to-speech and speech-to-text features. To manage the database, we used Firebase, and machine learning was programmed with Python.
Challenges We Ran Into
As the majority of the group members had minimal app development experience, we struggled with the steep learning curve that came with Flutter. Incorporating machine learning was another challenge we faced, as it was difficult to work around natural language machine learning.
Accomplishments that We are Proud of
We are proud of creating a product that will help elderly patients seeking independence. By incorporating a speech-to-text feature, elderly people will have a much easier time using the product if they have certain physical limitations.
What's Next for Independence
We hope to add smarter natural language machine learning so improve the quality and efficiency of our speech-to-text feature. We also aim to lessen the dexterity requirements from our clients for our product usage as many elders suffer from a lack of dexterity control.
Built With
dart
firebase
google-cloud
java
kotlin
machine-learning
python
Try it out
github.com | independence_app | A daily check-in app that allows elderly patients to monitor their mental state, daily activity, and prescription intake, allowing them to age with dignity | ['Emily So', 'Jeffrey Huang', 'Daniel Ko', 'Jing Han Sun'] | [] | ['dart', 'firebase', 'google-cloud', 'java', 'kotlin', 'machine-learning', 'python'] | 99 |
10,436 | https://devpost.com/software/rightonq-t1okfm | Inspiration
With aging often comes a slight decline in memory. Having personal customized reminders from family/caretakers like they're right there with you can help aging people live independently while getting any customized help they may need.
What it does
QR codes are placed in different places of the home. If the elderly person needs help remembering how to do something in a certain part of their home, they can scan the QR code and select what they need help doing.
How we built it
Store the list of reminders for a QR code type with the video links on Firebase. Built Android app that scans QR code using Mobile Vision API and plays embedded YouTube videos using YouTube Player View API.
Challenges I ran into
Best practices for UI for elderly populations and overall building and wireframing the initial concept. Also incorporating the different API's into the app to allow for embedded videos to play and the display after scanning QR codes.
Accomplishments that I'm proud of
Building an initial app with a functioning feature and a basic backend using Firebase.
What I learned
A lot
What's next for RightOnQ
Adding support for caretaker accounts and linking caretaker accounts with an elderly populations.
Built With
android
android-studio
firebase
java
mobile-vision-api
youtube-player-view-api
Try it out
github.com | RightOnQ | RightOnQ is an interactive memory aid system that provides personalized emotional and instructional support to older adults living independently. | ['Oishik Saha', 'Samagra Jain', 'MAITREIYI MAHESHWARI'] | [] | ['android', 'android-studio', 'firebase', 'java', 'mobile-vision-api', 'youtube-player-view-api'] | 100 |
10,436 | https://devpost.com/software/doc-home-7fa0jl | Doc@home
The spread of the pandemic has caused a lot of changes in our lifestyle, people fearing to get outside their homes, transportation almost shut down and social distancing becoming all the more important. The three major health issues that we face during this pandemic are
the deterioration of mental health due to lack of socialization
difficulty in getting medical appointments due to travel restrictions
the uncontrolled spread of fake news.
Doc@home is a web app build with an indention for helping to cope up with the current COVID situation.
The app has 3 main features:-
1. Became an AI companion for those in quarantine
“Connectedness is important to all humans, so I think we are all at risk [of loneliness during quarantine],”
- Deborah Roth Ledley, PhD, a licensed psychologist in Pennsylvania
The new reality of prolonged quarantine period and lack of socialization with other family members, friends and managing the fear of contracting the virus and worry about people close to us who are particularly vulnerable, are all challenging for each one of us. While the physical impact of COVID-19 can be assessed and treated, the mental impact is often ignored. Many people are experiencing emotional breakdowns and having depression. The new reality of prolonged quarantine period and lack of socialization are adding up the mental struggle.
More than 50% of those suffering from mental health issues are not seeking treatment, due to social stigma.
This present environment in the country has increased stress and anxiety amongst the citizens.
Introducing to you Jessica, your very own AI companion. Jessica can help you overcome your isolation and loneliness.
2. Provide a connecting medium for doctors and patients
But sometimes a chatbot might not be enough. You might need to seek professional help
The fear of traveling has resulted in the hampering of checkups of many people.
Doc@home, helps patients to take their routine checkups from the comfort of their homes without the scare of the virus.
It helps any patient to connect with the doctor of their choice, from the list of available doctors, and book an appointment according to their convenience either in offline or online mode.
The app has 2 portals, one for the patients requiring the appointment, and the doctors available for consultation. The patients can enter their medical history, any undergoing medication, etc which can be viewed by the doctor if he/she confirms their appointment. The index page of the patient and the doctor shows all their upcoming consultations. The doctor is notified if there are any patients requiring their appointment, and have the option to either confirm or deny, which causes a corresponding notification to be sent to the patient.
The doctor can also send the prescription with detailed feedback to the patient after consultation, along with the consultation fee to be paid. The patient can view the feedback in the history tab of their portal, which also provides the facility to pay the consultation fee by redirecting them to the Google Pay web page.
3. Create a forum for discussion between ordinary users and doctors
Another big issue that we face during this time, is the spreading of COVID related fake news. News with no scientific basis like standing in sun can kill corona and your pets can spread CoronA are rapidly spreadly
It is estimated there over 800 deaths have occurred due to WhatsApp fake msg
Doc@home also tackles this issue
I have created a forum (inspired by stack overflow website) that could help people differentiate fake news from the real ones. Here people can raise doubts regarding different aspects of COVID and get answers from professionals. It is a community-driven platform where doctors and ordinary people can meet and help each other out. This forum, to some extend, would help ordinary people seek professional help and advice, and use it as a methodology to separate
fake and actual news
Although, it isn't much this is a humble step from my side hoping to bring our world to normalcy with the pandemic on the spread.
Why Doc@home: The innovative and social impact
⚕️
Easy and affordable medical consultations, at the comfort of your home:
On average, a telehealth visit costs about $79, compared with about $146 for an office visit, according to the study. With doc@home users can consult any doctor 24*7 from anywhere in the world and the appointment scheduling process occurs in one well-organized platform so the endless back and forth communication can be avoided
📹
Get a detailed medical prescription from verified doctors:
After every session, you would receive detailed feedback from the doctor having all the details about the medicines to be taken, its quantity, the duration, etc
💊
One-stop solution to keep track of your medical history and remind you to take your pills:
The platform gives a track of all our past medical details and family heredity details. It also gives you an option to share this info with the doctor of your choice. Getting the medical history of the patient would surely help the doctor make better choices.
🧘
AI companion for managing daily stress, anxiety, and depression issues.
🤯
Combats the social stigma surrounding the seeking of help for mental health issues:
The chatbot in the app has the potential to be useful tools for individuals with mental disorders, especially those who are reluctant to seek mental health advice due to stigmatization.
📱
Platform to verify the truth behind viral messages surrounding health and stop the spreading of fake news
: The app provides a medium for users to seek professional opinions from doctors related to various COVID topics
Tech stack used
The backend of the project uses flask(python) and SQLite as the database
The front end is built on bootstrap, css, js and jquery
Future updates
Implement a blockchain payment system to bring more transparency and security to the system
Integrate Twilio API to create a bot, that calls you/sends a message to your phone 5hrs prior to the appointment schedule
Add to speech to text conversion in the chatbot. So instead of typing the queries, the users can simply talk more naturally with Jessica
Built With
css3
flask
flowxo
html5
javascript
jinja
jquery
python
sqlalchemy
sqlite | MediCure | The perfect platform for all our medical needs | [] | [] | ['css3', 'flask', 'flowxo', 'html5', 'javascript', 'jinja', 'jquery', 'python', 'sqlalchemy', 'sqlite'] | 101 |
10,436 | https://devpost.com/software/hypnos-ye1zom | Inspiration
Students and young adults in general have overwhelmingly poor sleep patterns and habits. Considering sleep being a biological necessity, we wanted to tackle an area where people continue to take steps backward but don't understand it should be a primary focus of their attention and care.
What it does
Hypnos provides
personalized
recommendations based on a series of 21 easy-to-answer questions (which are based on medical literature, the National Sleep Foundation, and accredited physicians in Canada and the US) so you can improve your sleep write away instead of being repeatedly just being told how important it is for you.
Even after the initial 21 questions, consumers are encouraged to input sleep quality (by rating it out of 10) for approximately one consecutive week so Hypnos technology' can continue to provide advice and actionable steps for any new problems they run into.
How we built it
We used HTML and CSS for basic website structure, and then incorporated a lot of JavaScript for functionality (ex: creating buttons that linked to other pages/questions) and to be able to store data/info that we can use to provide the personalized advice/output.
Challenges we ran into
We had to use local storage for storing data which presented the problem of not being able to use the data to its full capacity. Having an actual cloud-based database would allow us to use the data at any time - but due to the time constraints and it's complexity in nature, we couldn't pull it off.
Accomplishments that we're proud of
We're proud of the fact that we created a working project considering the fact that we were only 2 students, and that we created something that has the potential to help people with a real problem.
What we learned
Our next steps are to learn about APIs, databases, and algorithms because this is what will take the functionality and capability of Hypnos to the next level.
What's next for Hypnos
We want to further develop our algorithm and expand the set of recommendations Hypnos can provide.
Built With
css
css3
html
html5
javascript
uiux | Hypnos | Better Sleep, Better Life | ['Faiq Ahmad', 'Marwan Nasar'] | [] | ['css', 'css3', 'html', 'html5', 'javascript', 'uiux'] | 102 |
10,436 | https://devpost.com/software/patientgram | Inspiration
What inspired us to make this application is from one of our team members' experience of trying to retrieve updates of their loved ones in the hospital. Due to COVID-19, visitors are not allowed in the hospital, so the team member could not see their parents in the hospital; the team member had to use phone calls instead to receive updates. What the team member experienced is that sometimes the nurse was busy giving updates or the phone line wasn't working well.
To solve this problem, PatientGram was born.
What it does
PatientGram is a web application where contacts of patients can receive updates digitally from medical providers and where physicians can send updates to authorized contacts in a hassle-free manner.
How We built it
PatientGram is powered by React and Google Firestore.
Challenges We ran into
In the process of developing a solution, we were concerned about patient privacy. We were able to overcame this by developing a system to ensure patient privacy and security. Patient contact's have to login using a secure Patient ID and OTP verified code. Phone numbers must match the ones stored on the hospital phone records.
Accomplishments that We're proud of
Despite being in different timezones and skillsets, we managed to create a useful and practical platform that is working and scalable for the good of families, who are experiencing the hardship of loved ones receiving inpatient hospital care during a pandemic and beyond. We also had to learn how to use Firebase with no prior knowledge.
What We learned
We learned about NoSQL and Google Firestore.
What's next for PatientGram
The platform can be integrated with Epic and Cerner as a SMART App in FHIR in the near future, to ensure that the patient update process is streamlined and secure.
Built With
firebase
google-firestore
react
Try it out
github.com | PatientGram | An easy way to receive medical updates about your loved ones | ['Meghan L', 'David Wu', 'Kirsten Stokes', 'Emily Ham'] | [] | ['firebase', 'google-firestore', 'react'] | 103 |
10,436 | https://devpost.com/software/diagnosis-predictor-patient-platform | Patch your illness with our Diagnosis Predictor!
What inspired us
Our main inspiration for this project came from the the many stories we heard about AI becoming intelligent and fleshed-out enough in the near future to be able to accurately predict all the problems a person could have, whether those problems are current or are years down the road. Our project seeks to emulate that "futuristic" level of accurate, universal diagnosis.
What we learned
We gained increased knowledge in how to work on large datasets, neural networks, google cloud, front-end design, and others in the industry with differing knowledge and experience.
How we built the project
Ideation was the pivotal stage in our development process, where we narrowed down our list of ideas down to Diagnosis Predictor. First we obtained the data from Synthea and analyzed it manually to determine possible use-cases and potential data cleansing. Then, we made a script that prepared the data by excluding unnecessary information and formatting it to pass to a recurrent neural network. We trained a preliminary model using TensorFlow and Keras. Meanwhile, we also started bulk uploading the data using the GCloud commandline toolkit and also prepared the AI Platform to export the model to be used with the RESTful API calls from the Flask python micro-framework, which is something that we plan to build upon in the future due to its significance in our original ideation phase. Overall, with Google Cloud, we were able to successfully build a working prototype for our AI application that intends to serve people and bring medical diagnoses to them at their convenience.
Challenges we faced
One of the major issues was working with large datasets, as we had over 300GB of data in total of synthetic patient data (leaving only 1GB of free space on my computer :/). However, after persevering through, we were able to upload a good part of the data to the cloud storage to be able to train the network. Preprocessing the data also required a considerable amount of time, as we needed to figure out how to assimilate all the information from a patient's medical history into something the network could use. Finally, a great hurdle was working with Google Cloud and identifying all the quirks that come with the 100+ products in its cloud suite. We were, however, successful in implementing the neural network and exporting the model for future client-side use.
Accomplishments that we're proud of
Some things we are proud of is having build a preliminary functioning neural network that could be trained to accurately predict the diseases that a person could have. We also managed to dive into working on the front-end website aspect of the project with minimal experience.
Built With
css
google-cloud
google-cloud-ai-platform
html
keras
python
rest
tensorflow
Try it out
github.com | Diagnosis Predictor - Patient Platform | Your smart patient platform to provide accurate diagnoses at the click of a button! | ['Akash Veerappan', 'michael lyashenko', 'Anoop Bhat', 'Daniel Zhu', 'Ruo-Jing Ho'] | [] | ['css', 'google-cloud', 'google-cloud-ai-platform', 'html', 'keras', 'python', 'rest', 'tensorflow'] | 104 |
10,436 | https://devpost.com/software/iris-hlovk6 | Our inspiration
According to the World Health Organization, an estimated 125,000 preventable deaths per year are caused by medication nonadherence. Two of the main causes of these deaths are patients lacking belief in their need for medication and having fear of a medication’s possible side effects. On top of this, forgetting to take a dose of their medication accounts for 39% of all patient nonadherence. If patients can conveniently access easy-to-digest information about their prescriptions, they will be more likely to take their medications. In addition, patients will greatly benefit from medication reminders to further increase patient adherence.
What it does
Iris is an SMS chatbot that patients can text to gain easily understandable information about the medications they are taking. With the help of a database of pharmaceutical drugs, Iris will provide information that includes a medication’s active ingredient, purpose, and potential side effects. The doctor can also provide additional patient-specific information about their prescriptions. Iris will then be able to text back information such as the total medications prescribed, proper dosage, and when each medication should be taken. If such information is provided, the patient can opt for reminder texts to be sent when it is time for the patient to take their medications.
How we built it
See our
GitHub
and follow our tutorial.
What we accomplished
We accomplished an SMS chatbot that serves a real clinical application - providing a portable, reliable, and accessible source of information for patients about their prescriptions. As this is our team's first hackathon, we also accomplished starting a project from scratch and finishing with a usable product.
What we learned
This process taught us skills in presenting and marketing a solution. We learned new technical and debugging skills necessary to create this project, and this project also gave us exposure of the whole process from conception to design to pitch. We also gained insight on issues surrounding patient compliance in healthcare. We learned that using an SMS-bot can make medical information much more accessible than it is now, especially for those lacking literacy in technology.
Challenges we faced
A challenge we faced was figuring out how the patient might interact with our chatbot. We had to carefully think about what questions a patient may ask before deciding how the bot would understand. See our
GitHub
for challenges regarding the code.
Building upon Iris
Due to time and knowledge constraints, we were unable to implement Google Cloud BigQuery in Iris. Ideally, Iris would query the
RxNorm database
so she can obtain more detailed information about patient’s prescriptions. Then, she can simplify the information and text it back to patients. This would improve the autonomy, versatility, and utility of Iris and the questions she can answer.
Further steps would include:
Alternative names for pharmaceutical drugs (brand names vs generic names)
Voice recognition so that people can call Iris
Forming a “bag of words” so clusters of words can be grouped together in case patients phrase questions differently
Set up a username/password system to further protect patient privacy
Built With
dialogflow
flask
google-cloud
python
twilio
Try it out
github.com | Iris | Iris is an SMS chatbot that provides patients with information about the medications they are taking, such as side effects, how often they should be taken, and active ingredients. | ['Spencer Chan', 'michelleUMD Fang', 'Surya Padmanabhan', 'Tanaya Jha'] | [] | ['dialogflow', 'flask', 'google-cloud', 'python', 'twilio'] | 105 |
10,436 | https://devpost.com/software/hospital-triage-system | Here's the elevator pitch:
A hospital’s ER can be chaotic. This is where our Triage process comes in to facilitate the triage of patients coming into the ER to help doctors/nurses see the patient in the worst condition first.
Here's the whole story:
We built an Android app which contains a questionnaire for the patient’s family/paramedic to fill out about the patient’s condition(bleeding, breathing,…). This is set up on one API endpoint. The other endpoint is set up on the backend (google cloud project) to receive the patient information and save it in sql cloud. In a Flask application, based on the patient data, each patient gets assigned a number indicating the severity of their condition (the higher the number, the worse their condition). This number is then used to store the patient in a heap using heapq.heappush() and then the patient at the root of the heap (with highest number) is popped using heapq.heappop() when their file is handled by a doctor. This allows the patient with the next highest number to get the medical attention necessary.
What inspired us was talking about the inefficiency in some ERs. We learned how to create an app using Flask, connect to the sql database using sqlAlchemy, deploy a project on google cloud, submit data from an android app. We faced challenges when we were trying to connect the python code to the sql database.
Built With
falsk
google-app-engine
java
python | Patient Triage System | A hospital triage system that allows hospital staff to handle patients in a more efficient way by priority defined order. | ['Uyiren Chemen', 'Dalia Abdou', 'Saksham Mungroo'] | [] | ['falsk', 'google-app-engine', 'java', 'python'] | 106 |
10,436 | https://devpost.com/software/sched-med | Presentation Slide 1: Intro
Presentation Slide 2: Problem Statement
Presentation Slide 3: Solution
Presentation Slide 4: User Experience
Presentation Slide 5: Tech Stacks
Presentation Slide 6: Futurability
Presentation Slide 7: Team Bios
UI Design 1: NavBar
UI Design 2: About Us
UI Design 3: Scheduling Tests
UI Design 4: Calendar Function
UI Design 5: Time Function
UI Design 6: Confirmation
UI Design 7: Calendar and Email Integration
UI Design 8: Patient Advice
Demo 1: Welcome Page (user can schedule test after login)
Demo 2: Schedule Page (user picks test time, color code for available spots left; populated from Firebase, appt selection updates Firebase)
Demo 3: Confirmation Page (user is confirmed; test centers are notified; scheduling is updated on Firebase with one less vacancies)
Demo 4: Firebase Database (backend data management of test center availability done on Firebase; time slots are populated and updated here)
Inspiration
A New York Times survey of more than 1,500 American colleges and universities has revealed at least 51,000 cases and at least 60 deaths since the pandemic began (
https://www.nytimes.com/interactive/2020/us/covid-college-cases-tracker.html
). As students move back onto campus, and universities mandate frequent COVID19 testing, test centers are experiencing higher volumes.
Personally, some members of our team (Nabib, Mary Ben, Kevin - all university students) experienced long wait times and crowded test centers, which puts people at risk. Moreover, Ukeme, a medical doctor has seen in her clinical work test centers being over-burdened with people. There are huge periods of patient inflow and other periods with a very minimal amount of patients.
This problem not only puts patients are risk but is exhaustive on test centers as they can't appropriate allocate resources and staff needed.
What it does
Our project is smart platform for patients to schedule their COVID19 tests in set windows. Clinics can limit the number of allowed patients per testing window to avoid crowding and ensure social distance protocols.
Patients no longer have to wait or face crowds, and can stay safe. Health providers can regulate patient traffic, spread out patients, and properly bring in the right amount of workers and kits to meet patient needs. They can also employ data analytics and ML to improve efficiency.
How we built it
We used Google's Firebase for data management, databases, and authentication. We have a database on Firebase of users that allows health providers track and monitor individual patients through email authentication. We also have a database on Firebase that manages available testing windows, and updates them accordingly based on user's actions.
Our backend was supplement with Python's Django; Django provides an admin portal which health providers can use to track patients. Kevin was responsible for back-end.
The patient experience is done with JavaScript, React.js, and Node.js; all the time windows listed on the UI is programmatic and is pulled from the Firebase database. Since Firebase has realtime updates, we're able to updated the availability in instantly for users as other people book. For design we used React Bootstrap. Nabib was responsible for front-end.
We prototyped and design the UI and web-app logic on Figma. This allowed us to collaborate and make a strategy to implement. Mary Ben was responsible for documenting design ideas.
Challenges we ran into
For each member on the team, this was our first hack-a-thon, it was virtual, and none of us came in with strong experiences in making web-apps or using Firebase. We challenged ourselves to use Firebase and other frameworks, and made the experience be about learning. We spent a lot of time searching the web, watching YouTube tutorials, attending workshops, and speaking with mentors to build a prototype!
In addition, we had to coordinate the different strategies. We had made the login in Django and the patient portal in React, and we didn't know how to merge the two components. Google and StackOverFlow was sparse on this material. We found a way but we couldn't implement due to our time constraints.
Accomplishments that we're proud of
Given it was our collective first hack-a-thon, we are extremely proud we made a minimum viable product (MVP). When we started, we discussed our design goals and the tech stack we want to use. We completed a majority of our goals we layout. Our demo contains the core functionality from our UI design, and used Firebase effectively to manage data. It's only a few steps away from being production ready and being used by real providers - it's crazy our team made it in less than a weekend.
We're also really proud of the learning we've done and for not giving up. The virtual format made it hard to communicate at times, but we stayed at it and ultimately walked away with a demo-able product that has potential to improve patient treatment and quality care.
What we learned
We learned a lot of new tech skills. Namely we learned how to use Google's Firebase and integrate it with Python's Django and React,js/Node.js. We also learned how to use collaborative tools like Figma to design our layout and make our game plan.
In addition to technical skills, we learned more about the industry from peer mentors and workshops. We also learned about healthcare and technology. Since our track was patient adherence and quality care, we learned a lot about tele-medicine, the challenges, and the tech infrastructure.
What's next for Sched-Med
Currently Sched-Med let's people schedule appointments at test centers for COVID19, but another problem clinics face is periods of high and low foot traffic. Thus we'll add a feature where users can provide a range and the app will allocate them to a low traffic period. The algorithm would use past scheduling patterns from previous users and ML to predict periods of low traffic and assign them out accordingly.
Other features include integration with Calendar and Email apps through APIs that allow people to add them to their calendar, get email notification, and reschedule/cancel directly from their emails/calendar app. For the UI, adding a visual calendar component and search bar feature to filter center location, dates, and times.
We're also hoping to expand the app for more than test centers and university. Ukeme, a medical professional, recommended using it for flu vaccines and other procedures done not just at university but at clinics and hospitals. We're hoping to have this be used by universities and branch out to have other health services use our platform.
Built With
bootstrap
django
firebase
google-client-authentication
google-cloud
javascript
node.js
nosql
python
react
Try it out
github.com
nahmed3536.github.io
www.figma.com | Sched-Med | Platform for people to schedule appointments for COVID-19 tests in a way that minimizes risk and promotes safe, quality healthcare for patients and providers.. | ['Nabib Ahmed', 'Kevin Velasquez', 'Ukeme L Essien'] | [] | ['bootstrap', 'django', 'firebase', 'google-client-authentication', 'google-cloud', 'javascript', 'node.js', 'nosql', 'python', 'react'] | 107 |
10,436 | https://devpost.com/software/genconnect | Inspiration
It has become a staple of American society to place elderly individuals in nursing homes when they lose the ability to effectively care for themselves. While the intentions of their families are normally good, there are often consequences to life in nursing homes that are either overlooked, or simply not realized due to a lack of information. Among these, is the unfortunate result that many elderly people, though being well taken care of by staff and surrounded by others with similar interests, often lose the drive they had earlier in life. Granted this decrease in motivation and sense of purpose, it is not surprising that negative psychological ramifications follow. A study published by the Department of Health and Human services assessed 76,735 residents in 921 Ohio nursing homes to conclude that "Depression is the most burdensome and prevalent mental illness among nursing home residents" (Levin, et al.) Therefore, we decided to address this problem by creating a website on which nursing home residents can mentor and teach younger individuals skills experiences that gave them a sense of purpose earlier in life. In turn, younger people would gain the opportunity to connect with and be inspired by the stories and experiences of the eldery.
What it does
GenConnect aims to provide nursing homes with tools that allow their residents to meet and teach the youth. The site functions as a place where individual nursing homes may register to publish events, classes, and social sessions that are run by their own residents, intended to be attended by the youth in their communities. Registered homes in a user's particular area appear as easy to access tabs at the top of the screen. Clicking on a tab provides accessible key information about a particular home, such as the contact info and address, as well as the published events, social sessions, and classes that the residents have created. The website contains functionality for obtaining information about these sessions and registering for them; this is completed through an integrated applet.
How we built it
We used the website creation platform Wix to layout our pages and import all of the necessary functionality. We also used certain Google Cloud features, such as an embedded google map that displays the location of a particular nursing home.
Challenges we ran into
Going into our first MedHacks challenge, neither of us had much experience with web development, and we thus encountered some challenges when it came to programming. Because of this, we elected to use the Wix platform for its ease of use and its ability to create aesthetically pleasing and functional websites in a short span of time. One of the major aspects of our site consists of information for a registered nursing home. Early on, we had decided to embed a map showing the home's location by writing an HTML script and utilizing the Google Cloud map platform. Although we were able to modify template code to suit our needs, we encountered some issues with activating the API key which hindered our ability to make this feature work. Because of this, we settled on the integrated map features available directly in the Wix system.
Furthermore, much time was devoted to ideation at the beginning of our project, to ensure that the product would attempt to solve an issue pertinent to society. We selected the issue of high rates of depression among nursing home residents because of its relevance to our largely online world today and the ability to make significant progress on a solution in the given time frame.
Accomplishments that we are proud of
One of the things we are most proud of is the fact that having limited programming experience, and never having participated in a hackathon before, we were able to develop an idea and bring it into some level of fruition.
What we learned
One of the biggest challenges that we faced as new MedHacks participants was not knowing where exactly to start. The topics presented at the pitch sessions were quite broad, and being freshman undergraduates, our base of knowledge for medical theory was fairly limited. Therefore, we learned the most through interacting with mentors who were able to provide constructive feedback on our ideas and encourage our growth. Throughout this project, we learned quite a bit about the Wix platform as well as some of the services offered by Google Cloud. In the future, we would wish to learn more about the web development process, namely through more customizable platforms that incorporate greater levels of programming.
What's next for GenConnect
We envision this site to be able to connect users to nursing homes in their area, and therefore have greater functionality with regards to maps features. For example, a user should be able to enter their zip code and have returned to them a map showing the registered nursing homes in their area. This would of course require that nursing homes are more easily able to join; therefore, information about this site should be spread around with greater ease. By increasing the number of registered nursing homes, the events available through the site will become more enriching and diverse.
Built With
google-cloud
html
javascript
wix
Try it out
guangyanlilili.wixsite.com | GenConnect | Giving the elderly a new sense of purpose through inter-generational connections, GenConnect aims to combat the growing problem of depression among nursing home residents. | ['Guangyan Li', 'Nicholas Kats'] | [] | ['google-cloud', 'html', 'javascript', 'wix'] | 108 |
10,436 | https://devpost.com/software/medhacks2020-73ox6i | Accelerating personalized medicine by leveraging deep learning
MedHacks2020
Project By: An Nan Pan, Bilun Sun, Mahad Janjua, Zheng Yu Cui
Summary
Traditionally, people with the same type of cancer usually receive the same treatment, but in recent years, there has been more and more research on the specific effects of certain treatment options for people with certain genes. Some patients respond better to some treatment than others, whereas some treatments are not effective unless a mutation is present. The most classic example of this is HER2 receptor positive breast cancer, which is now most commonly treated with a monoclonal antibody like Herceptin. Keeping track of what the most recent literature says about different genes and mutations becomes more and more challenging with the increasing number of genes, mutations and publications.
Our project serves as the proof-of-concept for a solution to this issue. By using our online tool, researchers, healthcare workers and industry experts alike can easily input a scientific article and a mutation of interest to determine how it relates to other known mutations, so that they can rapidly recognize it as very dangerous or relatively benign. When evaluating a patient with a rare mutation that they haven’t seen before, a healthcare worker can quickly receive a predicted classification of the mutation based on published literature.
As sequencing technologies go down its declining cost curve and the population has easier access to their genetic data, this tool can be integrated to instantly give out warnings if a potentially dangerous mutation is detected. It will also always be kept up to date with the most recent literature so that patients have access to the best possible information.
The data
We found a quality
dataset on kaggle
from a past competition, where the goal is to classify clinically actionable genetic mutations. Essentially, given a gene, a mutation, and relevant text from clinical literature, the algorithm ought to classify the gene and its mutation into 1 of 9 classes.
Our tool
We have create a UI as a website, where a text, gene and mutation can be inputted, and our neural network will be used to run a single inference on the inputs, to then return the predicted classification.
Our model
We decided to use DistilBertModel from 'huggingface' for its smaller memory footprint and faster inference speed compared to its teacher, BertModel.
DistilBERT is a small, fast, cheap and light Transformer model trained by distilling Bert base. It has 40% less parameters than bert-base-uncased, runs 60% faster while preserving over 95% of Bert’s performances as measured on the GLUE language understanding benchmark.
HuggingFace
Moreover, we noticed a significant speed up when using the DistilBertTokenizerFast instead of the regular DistilBertTokenizer.
Nevertheless, if our neural network were to be deployed for real world use, we would certainly consider using a more performant model, such as BERT, RoBERTa or SciBERT (tailored for scientific papers), and train it on a cloud server with powerful GPUs.
We use DistilBertModel as our NLP backbone, then add two linear/dense/fully-connected layers on top of it, with a ReLU activation function and dropout. Note that similar to the single sentence classification task outlined in the BERT paper, we only apply the linear layers to the outputs corresponding to the CLS token.
Sentence selection algorithm
Given that the research papers provided in the training dataset can contain upwards of 6 000 words or 10 000 tokens, we definitely had to employ heuristics to select for specific sentences as inputs to our neural network. Indeed, the standard number of tokens for a BERT model is 512, as described in the original paper.
BERT: Pre-training of Deep Bidirectional Transformers for
Language Understanding
While there is support from the 'huggingface' models to have up to 2048 tokens as inputs, we refrained from venturing in these waters as inference complexity increases quadratically with Transformers' attention mechanism.
Our current method for selecting sentences is to look for ones that contain the target mutation. Even then, we are still exceeding the 512 limit, but as our results showed, it does out-perform the naive approach of selecting the first 512 tokens. On top of that, we are probably losing crucial information in sentences where the mutation does not appear.
To improve the accuracy of the model, we would have liked to increase the number of tokens to at least 1024 and explore other heuristics, or perhaps consider using a better suited model, such as
DocBERT
, which can take in a document with an arbitrary length, as it is implemented with a
Bi-LSTM
.
In order to find the sentences that interest us the most, we first searched the text for mentions of the mutation of interest. If the number of tokens doesn’t exceed the maximum length, we would then proceed to add the text before and after to incorporate information that might be more related to the mutation in question. In cases where the mutation is not explicitly mentioned in the article, we would then search for the gene and try to find relevant information that way.
We were expecting a decrease in training loss and an increase in test accuracy thanks to our sentence selection algorithm. As we trained the neural network, we observed that the training loss went down much quicker than before, and reached lower values in half the training steps! Nonetheless, to our dismay, the test accuracy looked like it was plateauing at 67%. That, combined with the fact that the test loss was gradually increasing, indicated that our model was unfortunately overfitting.
Overfitting
Ever since
dropout
was introduced in the field of deep learning, it has been widely used across many disciplines. In short, when the activation of random neurons are inhibited, it seems to prevent the network from overfitting, as it cannot rely on specific pathways to memorize the training dataset. This is what we have tried with our model. We have increased the dropout rate (percentage of neurons to inhibit at each iteration) from 40% (in dark blue) to 50% (in dark red), but did not notice any significant improvement. If anything, the performance was slightly worse.
Sudden improvement in the neural network’s performance
As we were exploring other options, such as L1 and L2 regularizations to penalize overly strong weights, we remembered that initialization can influence the performance of a neural network. As such, without changing any setting, we trained the model once more. To our great surprise, we achieved a much lower training loss, and a much better accuracy of 89% (in magenta and light blue). As aforementioned, we believed it was due to initialization. However, upon further thought, we came to the conclusion that initialization cannot account for such a drastic improvement. That is when we realized that we were actually loading the overfitting model, and training it with increased dropout, which made the model perform significantly better than before.
Built With
css
flask
html
python
pytorch
Try it out
github.com | The Gene-ie | Accelerating Personalized Medicine with Scientific Articles NLP | ['Annan Pan', 'Bilun Sun', 'Mahad Janjua'] | [] | ['css', 'flask', 'html', 'python', 'pytorch'] | 109 |
10,436 | https://devpost.com/software/senior-care-9dgo31 | Inspiration
Senior citizens are in need of care throughout their daily lives. Because their family members are typically busy with work and/or school, they are placed in nursing homes. These nursing homes are expensive and require seniors to leave their home. Seniors will most likely prefer to be in the comfort of their homes and independent caregivers are the perfect solution.
What it does
Senior Care is a web application that uses user authentication for seniors and caregivers. After a new user creates an account, they are able to configure the information that is seen by the other party, such as name and bio. As a senior logged into the site, it will display one caregiver's profile at a time and allow options to like or dislike the profile, based on preferences. As a caregiver, the web app will similarly display a senior's profile. It creates a matching system that allows both the senior and caregiver to message each other, if they mutually like the other's profile.
How we built it
The prototype for Senior Care is created through Wix. The front-end is powered by the Python Flask framework and the back-end connects to Google Firebase. The services it uses specifically are Authentication for user authentication and Firestore for database storage. Flask transfers the user profiles stored in Firestore to be displayed on the web pages. The web app is deployed through Google Cloud Platform.
Challenges we ran into
During implementation, we remembered the importance of patient confidentiality so we had to decide what kinds of information we could ask users to submit. Originally, we planned on the profiles consisting of a profile picture, age, etc., but then we had to omit them due to privacy concerns.
Accomplishments that we're proud of
We were able to load user profiles from the Firestore database into the front-end. We're proud of the prototype design that successfully conveys our vision for Senior Care.
What we learned
We learned how to integrate Flask with Firebase to quickly get a back-end running with good functionalities. We also got a more in-depth understanding about the process of web development, especially using HTML.
What's next for Senior Care
Ideally, we would like to have more time to implement a fully functioning user authentication system to provide a secure site for visitors. In the future, we hope to deploy Senior Care as a mobile app.
Built With
bootstrap
firebase
flask
google-cloud
python
wix
Try it out
github.com
cindy619mysterio.wixsite.com
senior-care-98ed8.uc.r.appspot.com | Senior Care | Connect seniors with caregivers in a Tinder-style matching system, without having to go to nursing homes | ['Cindy Pham', 'Vincent Pham'] | [] | ['bootstrap', 'firebase', 'flask', 'google-cloud', 'python', 'wix'] | 110 |
10,436 | https://devpost.com/software/wealth-of-health-a-board-game-that-makes-hand-washing-fun | Game Cover
Game Manual page 3
Game Manual page 2
Game Manual page 1
Game Manual page 5
Game Manual page 8
Game Manual page 4
Game Manual page 6
Game Manual page 7
Inspiration
All of our team members have played board games with friends or family on several occasions. The atmosphere, camaraderie, and uniqueness of "game night" really appealed to us as we brainstormed for this track. We appreciated that board games were family-orientated and that the industry was growing at a rapid pace. When looking for a new and creative solution to the problems highlighted in this track, we wanted to combine traditional, PSA-like information with a non-traditional approach. Thus, we decided on board games as a medium to explore.
What it does
Wealth of Health combines the entertainment of a board game with the value of a healthy lifestyle. It encourages healthy behavior by tying in-game consequences to real-life action, incorporating friendly competition to add to the excitement. Through repeated exposure and habituation, the game educates players on and encourages them to follow and adhere to a healthy lifestyle.
How we built it
While the demo was constructed digitally, we envision the final product to be wholly physical. The game can also be easily digitized, as the mechanics are relatively simple.
Challenges we ran into
The key challenge was striking a balance between making the game fun and sufficiently incentivizing healthy action. This was difficult as these two ideas are contradictory in many ways. In an attempt to strike this balance, we appealed to the fundamentals of what make board games entertaining: camaraderie and competition.
Accomplishments that we're proud of
We are proud to have created a product that is creative and represents a non-mainstream approach to a common problem. We are also proud to have leveraged our strengths to counteract our short-falls in the technical space in order to propose a meaningful solution.
What we learned
We have learned a great deal about the intricacies of game design, ranging from specific game mechanics to broader objectives of the game. We have also learned a lot about what makes games fun and appealing, and how we can leverage those factors as we attempt to create our own.
What's next for Wealth of Health - A board game that makes hand-washing fun!
We want to make Wealth of Health a reality! We hope one day you may find this game on the shelf of your local retailer or on the pages of your favorite e-commerce website.
Built With
imovie
photoshop
powerpoint
quicktime
voice-memo | Wealth of Health - A board game that makes hand-washing fun! | Encourage adherence by rewarding healthy habits as players compete to win! The only thing better than quality care, is quality habits that minimize the need for care. | ['weioren Wei', 'Keva Li', 'Charles Wang', 'Jason Fan'] | [] | ['imovie', 'photoshop', 'powerpoint', 'quicktime', 'voice-memo'] | 111 |
10,436 | https://devpost.com/software/goldenage | Inspiration: An older adult in my community confided in me her desire to find friendships
What it does: Matches people based on shared interests
How I built it: Channeling the power of MedHacks
What's next for GoldenAge: Front end-development and improving the user interface
Built With
css
html
javascript
Try it out
github.com | GoldenAge | people-matching social media app for older adults | ['Crystal Favorito'] | [] | ['css', 'html', 'javascript'] | 112 |
10,436 | https://devpost.com/software/polaris | Inspiration
During the COVID-19 pandemic, fear of entering healthcare spaces has been rising as patients try to avoid exposure and stay at home. While staying at home has been beneficial in keeping transmission risk low, what if a patient has intense back pain and doesn’t know whether they should go in-person or seek a telemedicine appointment?
This decision to go or not go to the clinic is normally made based on a patient’s comfort level, but it should really be made healthcare providers who have the expertise to know what type of appointment patients need. But during this time of healthcare worker shortage, healthcare providers don’t have the time to call patients and guide them through these decisions. This is where our mobile app Polaris comes in.
What it does
Polaris is an AI chatbot that will recognize a patient's entered symptoms or needs, such as prescription refills, and through a series of personalized questions, correspondingly provide recommendations on whether the patient should schedule an in-person visit, book a telemedicine appointment, or go to the ER or urgent care immediately.
How we built it
To create a chatbot that would triage patients based on symptoms, we looked into platforms such as Google's DialogFlow, IBM's Watson Assistant and AWS Lex.
Using Android Studio, we created a messaging UI that would integrate with our chatbot.
Challenges we ran into
While our team has some programming experience, we were all new to chatbot platforms such as Google's DialogFlow and AWS Lex and experienced a steep learning curve in how to work with them. We ran into challenges in creating the backend of the chatbot AI and integrating it with our Android Studio messaging UI. Luckily, the mentors at MedHack (special shoutout to
Steven Gomberg
and
Dr. Vishnu Ravi
) were incredibly helpful in idea formulation and guiding us towards resources!
Accomplishments that we're proud of
While we weren't able to get all the features of Polaris that we had initially planned, we are really proud that we learned how to utilize AWS Lex from the ground up and create a chatbot that could triage patient symptoms.
What we learned
We learned how crazy it is to build an app in 24 hours, gained experience with Android Studio and AWS Lex, and can now better understand chatbot functionalities. Above all, we learned the power of teamwork!
What's next for Polaris
We plan to add infrastructure to support a directory of recommended clinics and providers after a patient is successfully triaged based on their symptoms. These suggestions would be tailored to match the insurance plan and geographic proximity of the patient. How? We’ll be doing this by implementing the ability of users to make profiles, uploading their insurance details, and previous medical history, to ensure a more personalized and accurate recommendation and enable more longitudinal support. Lastly, we hope to expand our database of common symptoms and conditions, and what turns these often benign signs into dangerous red flags to ensure, again, that patients are getting only the most accurate recommendations we can offer them.
Built With
amazon-web-services
android-studio
lamda
lex
python
Try it out
github.com | Polaris | An AI chatbot triaging patients for urgent care, in-patient visits, or telemedicine | ['Catherine Chen', 'Alex Guo', 'Eric Florin'] | [] | ['amazon-web-services', 'android-studio', 'lamda', 'lex', 'python'] | 113 |
10,436 | https://devpost.com/software/phonevideodoctor | Inspiration
In the midst of the current pandemic, telemedicine has become important to continue providing healthcare while keeping people safe from contracting the virus. Unfortunately, patients who are less tech savvy may struggle to adapt to the online platform, having to enter appointments independently and deal with the nuances of technology. Our aim is to make telemedicine appointments easy and accessible for all patients.
What it does
PhoneVideoDoctor is a web application that allows patients to enter their telemedicine appointments in an instant. With a single e-mail invitation, patients simply click the link and can join the meeting right away to see their doctor. Simple instructions are clearly provided to activate the camera and microphone, minimizing confusion and stress. Patients and doctors can speak with each other face to face and save time from figuring out how to join the appointment.
How We built it
We developed our app using Javascript using Node.js. We created a server with Express.js that allows clients to view high-quality videos of each other while hearing each other clearly. Our frontend interface was created in React.js, and we utilized a large range of modules to build our app with greater speed.
Challenges we ran into
One challenge was coming up with an idea, since the field of healthcare is so vast with endless possibilities. We overcame this barrier by speaking with experts in the healthcare field, including doctors and health informatics specialists, who gave us an insight into the most pressing issues that would be exciting to work on. Another challenge we ran into near the end was deploying our app to Google Cloud. Although we struggled with getting the server running, we believe that we will be able to accomplish this in due time.
Accomplishments that we’re proud of
We were successful in creating a platform that doctors could use with their patients to carry out appointments. We were especially proud of the accessible and user-friendly interface we provided, as well as being able to call each other via the video platform when we got it working.
What we learned
Coming from a diverse set of backgrounds, we were all able to learn a lot about the intersection between healthcare and technology. On the healthcare side, we became aware of the pressing issues that need to be addressed during the pandemic. On the technology side, we learned how to develop frontends in React.js and create socket connections to send videos of each other in real time.
What's next for PhoneVideoDoctor
There are many other features that could improve the functionality of PhoneVideoDoctor. When booking the appointment, we would have a screening survey with information about the patients’ symptoms that would be sent to the doctor for reference. Depending on the severity of the symptoms, this form would advise them to seek immediate medical attention. At the beginning of the appointment, the patient would be asked on our web app if they had any new comments to add to this form.
For both the patient and doctor side of the web app, we could also add a queue to clearly show who the next patient is, and on the patient side, show approximately when the appointment will start, in the event that it is delayed.
Towards the doctor side of the web app, some of the next steps would include having an easy way to access and edit digital patient files throughout the appointment, take any pictures from the video, and being able to send patients any instructions about how to take pictures, or details about prescriptions.
Built With
css
express.js
html
javascript
node.js
react.js
Try it out
github.com | PhoneVideoDoctor | A simple, easy to use and intuitive web app for hosting virtual medical appointments. | ['Bianca Ha', 'Eric Yeh', 'Adhithi Ramasubramanian', 'Vy Phan'] | [] | ['css', 'express.js', 'html', 'javascript', 'node.js', 'react.js'] | 114 |
10,436 | https://devpost.com/software/medafford | Inspiration: We wanted to figure out a way to help people to be able to measure vitals at home without having to go to the hospital, reducing risk of transmission of diseases, as well as reducing the strain on hospitals right now. This is closest to Track 3.
What it does: We intend on making ultra affordable medical devices, such as a pulse oximeter and a blood pressure monitor, which will allow people who can not normally afford the expensive medical devices to stay home and keep track of their vitals, and make sure they go to the hospital only when necessary.
How we built it: We looked into how much each of the parts costs, including the smallest sensors and boards, and calculated the estimated total. We also were estimate how much this would cost if we were mass producing it, making it cheaper than our proposed prototype.
Challenges we ran into: We are not really good at programming at the moment, but we are currently trying to learn how to do so. We also ran into issues with finding the individual sensors, but we ended up finding them at the end!
Accomplishments that we're proud of: We were able to bring down the cost of the devices by almost two thirds! This increases the accessibility of the devices to many people worldwide who would not normally be able to afford them.
What we learned: We learned how to bring down the costs effectively, as well as solve several problems, such as reducing the risk of transmission of disease, reducing strain at hospitals, and making sure people can know their health without needing to worry or travel to the hospital.
What's next for Medafford: We intend on applying this strategy of making affordable medical devices to even more variations, such as infrared scanning thermometers, and other useful devices, especially during a pandemic.
Try it out
docs.google.com | Medafford | Affordable vital tracking machines for the masses, which can help reduce strain on hospitals and keep transmission of disease low! | ['Andre Ricardo De Araujo Quadros Junior', 'Pranav Peddinti'] | [] | [] | 115 |
10,436 | https://devpost.com/software/predicting-covid-19-cases-in-nj-using-an-adaptive-sir-model | Inspiration
The United States really could have been in the end phases of COVID lockdown by now, but ineffective leadership and lack of adherence to health advisories have exacerbated the epidemic and caused an unprecedented amount of unnecessary deaths. One way people could look out for their own health without falling victim to the decisions of others would be to have a better understanding of the COVID situation on the county level, and predict what will happen in these areas in the future.
What it does
Our app uses current data to build an adaptive SIR model of counties in New Jersey. These models are used to predict future conditions in each county and identify hotspots to notify users to avoid.
How we built it
First, we designed a set of ordinary differential equations that would incorporate natural deaths, interaction between sick and infected people, recovery rate, and deaths due to COVID. With an initial guess for these parameters and a dataset from JHU's COVID database we were able to train a model in python to have a relatively close fit using the scipy package. After identifying the parameters we used an iterative solution to predict the infected population days into the future. The python analysis was presented as an interactive web application in which users could visualize past, present, and future COVID-19 cases on a map provided by SimpleMaps. Django, a python-based web framework was used in order to integrate the back-end analysis with the front-end user interface. A mixture of Javascript, HTML, and CSS were used to develop the front-end, and Django's built-in template language was helpful in allowing us to pass python-generated data to the user.
Challenges we ran into
We wanted the app to be useful to people locally to give them a better sense of the situation around, so we looked for county datasets. However, only the infected and death deltas per day were available. This meant we had to calculate relevant numbers like the susceptible population, total infected, and recovered while making assumptions that introduced a degree of error. In fact, the first model we built failed for some of the data and we had to remake it. The time constraint on the challenge meant that we had limited time to try different things out. Trying to find a proper API for generating maps was difficult, but we believe that we ultimately ended up finding something that worked for us.
Accomplishments that we're proud of
Having a pretty good fit for our model to actual numbers while using some math magic to calculate numbers required to build our model.
Leveraging both our understanding of biological math modeling and our computer science understanding to develop a very basic, yet potentially useful, application.
What we learned
One of us learned python today by trying to convert from things they knew in MATLAB,
We developed our collaborative GitHub skills and were able to streamline the development process because of that.
What's next for Predicting COVID-19 Cases in NJ Using an Adaptive SIR Model
Our next step is to apply this to more states to extend our user base. We also want to make the model more specific so we can do towns within counties. Something we would like to do in the future (or would have liked to do over the past day) is to use the Google AI to predict movement among counties during certain times of the year. For example, tracking such as outlined in
this post
could accurately predict which location will have a high population concentration and how that concentration changes one a day to day. Then, we could modify our SIR model to reflect how a nice summer day led to a longer COVID threat.
Built With
css3
django
html
javascript
numpy
python
react
scipy
simplemaps
Try it out
github.com | Predicting COVID-19 Cases in NJ Using an Adaptive SIR Model | Tired of staying in the house? Want to go on vacation? With PCOVIDCNJUASIRM you can make informed decisions on where to travel! | ['Rahul Pemmaraju', 'Rishabh Hirday', 'RizThe1andOnly Chowdhury'] | [] | ['css3', 'django', 'html', 'javascript', 'numpy', 'python', 'react', 'scipy', 'simplemaps'] | 116 |
10,436 | https://devpost.com/software/window-to-health | Inspiration
Among the many eye disorders that cause visual impairment, cataracts alone affect 1 in 6 people over the age of 40 and more than half over the age of 80, many of whom require surgery. Other eye surgeries include treatment for glaucoma, diabetic retinopathy, and macular degeneration. While complications due to eye surgery are fairly low, complications such as infection and bleeding can lead to irreparable vision loss.
Post-operative management of ophthalmic procedures involves multiple follow-up visits in which ophthalmologists ensure the patient’s eye is healing properly. Given the current COVID-19 pandemic, in-person follow-ups may not be a viable option for older patients with underlying conditions.
As a result, a solution is needed to provide post-operative care that promotes remote health monitoring by the provider.
What It Does
The device easily slides on to the ear-piece of most glasses, resting right next to the lens without hindering a patient’s line of sight. The Raspberry Pi V2 5 megapixel Camera Module provides periodic images of a patient’s eye post-op, which is then analyzed through a neural network created using tensorflow to determine whether or not the eye is exhibiting symptoms of post-op complications. Our device is also fitted with an infrared thermal sensor and a buzzer. These components interact to screen a patient’s temporal temperature. If their temperature reaches an abnormal level, the device sends the patient an indication via the buzzer’s activity which prompts the patient to contact their physician. The uninvasive, accessible nature of this device decreases the complexity of post-operative follow-up care for patients, while providing physicians constant, baseline data as well as real time indications of possible post-surgical complications.
How We Built It
We compiled photos of healthy and infected eyes as training data so our AI can detect abnormalities in the patient’s eyes. We came up with a design for our product using solidworks and determined what kind of materials and sensors we would be needing. We added a camera which was coded to take a picture of the patient's eyes every hour and we coded our thermal sensors to monitor for fevers. Both processes were executed using Python and Raspberry Pi methods.
Accomplishments We're Proud Of
We pride ourselves on not just the innovative nature of our product, but also it's affordability. By utilizing cost-effective sensors, processors, and materials, we were able to circumnavigate financial constraints surrounding assembly and manufacturing. As a result, our device remains accessible to patients from a variety of backgrounds, and ultimately is a complementary tool that can be made available to ophthalmologists at little to no cost.
What We Learned
Vision loss not only costs over $35 billion in direct and indirect costs, it is also a disability that many fear because it changes how we interact with others and the rest of the world. Throughout our work on this project, we gained a better understanding of the deep impact of vision problems within geriatric patient populations, as well as the social determinants determining their access to quality medical technology and resources.
What's Next for Window into Health
In the future, we hope that applications of this technology can extend to chronic disease management by monitoring indications of worsening diabetic or hypertensive retinopathy. Furthermore, we hope to modify the buzzer in our device to additionally serve as an alarm clock that reminds patients to take their prescribed eye drops or medication.
Built With
matplotlib
numpy
python
raspberry-pi
tensorflow
Try it out
github.com | Window into Health | We provide an innovative, affordable solution to manage post-operative ophthalmic care for geriatric patients amidst the COVID-19 pandemic. | ['Hiya Sawhney', 'jri319 Inacio', 'Jorden Xavier', 'Holly Tenaglia', 'Isha Gadgil'] | [] | ['matplotlib', 'numpy', 'python', 'raspberry-pi', 'tensorflow'] | 117 |
10,436 | https://devpost.com/software/soliu | Inspiration
These days we are suffering from COVID-19, so that it is hard to go hospital, so that we developed application for people who are suffering about mental dieases.
What it does
This application contains self test, COVID-19 graph,chat, Info, google map
How I built it
We use Android Studio with REST api to get a raw COVID-19 data from json file in covidtracking.com
Challenges I ran into
I like coding and enjoyed developing various kind of application so that this time we tried getting information from website.
Accomplishments that I'm proud of
I really enjoy this hekaton!
What I learned
I learn how to get a raw data from certain site with using retrofit which is RESTful api
What's next for SoliU
We are currently developing mask detection application with using vision in GCP. It takes times to training our machine so that we didn't finished it but we will try this out even if hackaton is over!.
Built With
android-studio
java
mysql
rest
Try it out
github.com | SoliU | This is Mental Care for people who are hard to get into hospital due to COVID-19. We create this application to give accessability and reduce stigma about going mental hospital. | ['Jungpyo Hong'] | [] | ['android-studio', 'java', 'mysql', 'rest'] | 118 |
10,436 | https://devpost.com/software/clinilog-ai-assisted-symptom-analysis | Generated Patient Medication Record
Inspiration
As a medical student, I have observed a conflict that often arises between physicians and elderly patients when discussing patients' symptoms after taking medications: patients often require time to fully articulate their thoughts, while doctors are limited by appointment times and attempt to move along the conversation.
Clinilog seeks to fulfill both these seemingly-conflicting goals: allow patients to take their time discussing their clinical symptoms in a relaxed manner, while enabling physicians to receive the key components of the narrative in an efficient manner.
What it does
Clinilog allows patients to talk about their clinical symptoms at length into a site. This discussion is converted into text, which is then analyzed using an Entity and Semantic Parser, from which key clinical terms are identified and classified (as either "positive" or "negative" patient experiences).
This data is then used to automatically generate a patient report document, which details the key clinical components from the transcript and their classifications. This document can then be sent to the physician, who can quickly glean essential patient details from the breakdown, as opposed to spending time manually curating this information from a lengthy discussion with the patient.
How we built it
The Natural Language Processing technology behind the semantic analysis module utilizes Google Cloud Platform (GCP)'s Cloud Natural Language service. We implemented our own code to manipulate the entity and sentiment analysis results and dynamically generate a patient report from them.
The application is largely built in Python (and currently uses Flask as the web framework), with the frontend developed in HTML and vanilla Javascript.
Challenges we ran into
Striking a balance between technical features and ease-of-use -- especially given that this tool is targeted towards elderly patients -- was a challenge we consistently grappled with. Ultimately, we decided to wrap up all the semantic analysis modules under a layer which "just works" and requires minimal input from the user.
Accomplishments that we're proud of
Being able to put together a working product and corresponding pitch in such a short amount of time has been the greatest point of personal satisfaction of this process.
What we learned
We learned about the significant resources available via the Google Cloud Platform APIs, as well as how to quickly and efficiently leverage these resources when developing an application. Putting together a pitch also provided valuable experience in condensing our key ideas into a cohesive narrative.
What's next for Clinilog: AI-Assisted Symptom Analysis
While the GCP Cloud Natural Language Processing service offers a tremendous amount of power for semantically analyzing text, using more fine-tuned and domain-specific models will likely show improved performance when dealing with clinical data. Consequently, working on refining the semantic analysis component of this software will be a major focus of future challenges.
Moreover, we envision this tool being useful across different languages. Given that the speech-to-text and semantic analysis tools we used support other languages, adding support for other languages is another important priority.
Built With
flask
google-cloud
natural-language-processing
python | Clinilog: AI-Assisted Symptom Analysis | Allow patients to take their time in talking about their clinical symptoms, and leverage semantic Natural Language Processing to provide physicians with a summarized document containing key details. | ['Sam Rawal', 'Ayan Rafique'] | [] | ['flask', 'google-cloud', 'natural-language-processing', 'python'] | 119 |
10,436 | https://devpost.com/software/team-tia | Welcome to Team TIA
Inspiration
We're a team of women in clinical and health technology looking to improve the lives of aging participants through innovative voice detection and sentiment analysis with an intelligent digital companion application. TIA refers to your aunt or close female relative who knows how to check on your daily health while tracking against life threatening events like TIA (Transient Ischemic Attack) or stroke.
The Challenge: Someone in the United States has a stroke every 40 seconds. Every 4 minutes, someone dies of stroke. Patients who arrive at the emergency room within 3 hours of their first symptoms often have less disability 3 months after a stroke than those who received delayed care. Tools that help a medical team to quickly identify stroke can help save $40,000,000 per 100,000 population. Stroke is a leading cause of serious long-term disability.
Nearly 1 of 4 stroke survivors have had a previous stroke.
What it does
TIA will provide users & their caregivers access to integrated custom rehabilitation planning, personalized care plans and curated resources to quickly recognize and prevent a stroke. Health tracking of potentially life threatening events like TIA or stroke using dynamic Q&A assessment.
How I built it
Team TIA will develop a multi-tiered approach to pre-stroke diagnosis, rehabilitation, and prevention of recurrence.
Our innovative mobile application for medical staff to use in clinic or at home assessment to better manage and quickly determine the risk of a fatal event.
Challenges I ran into
Focusing and unifying the wide range of symptoms and outcomes of a pre-stroke event is a challenge. From a design thinking perspective, we wanted to simplify how the user would interact with TIA, by minimizing text with mostly dynamic voice capture for analysis.
Accomplishments that I'm proud of
TIA a lovable digital companion. Keeping our project simple while still getting the point across with an efficient solution to analyze subtle but compelling changes in sentiment and voice and related daily health.
What I learned
We learned to keep the requirements lean. We learned how to simplify and prioritize the most important features for our MVP.
What's next for Team TIA
Complete the entire workflow and interaction design for emotional well-being and activities of daily living after a stroke, including characterizing the user's baseline. The more TIA takes care of you, the more time you can enjoy with your loved ones living a healthy life.
https://youtu.be/LXSBTxdu5ak
Built With
amazon-web-services
android
css
css3
google-cloud
python
tensorflow
Try it out
docs.google.com
github.com
www.figma.com
github.com | Team TIA | TIA's health-recovery application helps each user navigate the early signs of stroke using voice recognition, rehabilitation and well-being. | ['Eangelica Aton', 'MITALEE GARG', 'Jenny Tan', 'Bethel Yohannes'] | [] | ['amazon-web-services', 'android', 'css', 'css3', 'google-cloud', 'python', 'tensorflow'] | 120 |
10,436 | https://devpost.com/software/medley-2bzxr3 | When looking at the problems the aging population faced, we realized that one of the problems was the fact that many elderly felt isolated as they stayed at home, and their relative inactivity made them feel "old" or even purposeless. We believed that by fixing this problem early, we could help address physical and mental health problems that may occur later in their lives. As we knew that our parents' generation were heading towards their retirement, we wanted to make a solution.
So, we came up with an idea for a customizable app, one that took the user's preferences and recommended them hobbies, activities, and music. This way, they will feel more motivated, and we hoped that by matching to what they wanted, be able to make them feel young again.
We had challenges on creating an app, as we were not experienced in app or website development. Therefore, we decided to create a UI design to express what we envisioned. Using Adobe XD, we assembled what we pictured in our idea.
If our app did become developed to a full app, we believe it will be a simple solution to support the overall well-being of the aging population, and that it has potential to grow into a more effective solution. For example, we thought that if Medley allowed users to connect and chat based on interests, it would more directly solve the problem of isolation (especially during the pandemic), and integration with other apps/platforms might allow for better integration with senior care homes and health centers.
Built With
adobe
sketch
xd | Medley | To promote emotional well-being | ['Evelyne Cheung', 'Mallika M', 'Darlie Joseph', 'Jacob Kim'] | [] | ['adobe', 'sketch', 'xd'] | 121 |
10,436 | https://devpost.com/software/relief-point | Relief Point Logo
Website - Main Page
Website - Information Page
Website - Chatbot (Relief Bot)
Inspiration
I was inspired to build this project after experiencing eyestrains and headaches while working from home during the pandemic. Due to the frequency of the irritation, I would have to take multiple breaks while working and taking pain killers every week was not an option I wanted. Although going to the doctor or a massage therapist would help, I was reluctant to go due to COVID-19. This is why I thought to create a website that would inform users of how to relieve their pain at home without having to take medication or go to a provider.
What it does
Relief Point helps ease head, neck and shoulder pain by massaging different pressure points on your body. It instructs users of which pressure points to focus on for specific pain points and shows an easy step-by-step guide to properly massage them.
How I built it
I built the website using basic HTML, CSS and Javascript for the foundation and used photoshop to adjust the images I wanted for the website. I also used Google Dialogflow to create the chatbot with a Firebase database, and then used Kommunicate to integrate it onto the website.
Challenges I ran into
Sadly, there is not much research done on relieving headaches or other pains by massaging pressure points, so I had to try and dig up as much information as I could and worked with limited resources. I was also having some trouble with integrating the chatbot onto the website, but I found Kommunicate, which does the front-end integration for you and solved the issue.
Accomplishments that I'm proud of
I am proud of building a website that can be used to help people all over the world. People are stuck at home in isolation and are building up tension in their necks, shoulders and heads. My product can help relieve these pains and make people more comfortable and healthier in their own homes.
What I learned
I learned so much about different pressure points on your body and what they can do. It’s always fascinating to see how the human body is so simple, yet complex at the same time! I also learned that CSS and styling is evil.
What's next for Relief Point
The next steps for this website are to:
1. Add different language options (Madarin, Spanish, French, etc)
2. Add a voice assistant for the visually impaired
3. Convert the website into a mobile application
Built With
css
firebase
google-dialogflow
html5
javascript
kommunicate
photoshop | Relief Point | Do you have headaches, neck pain or shoulder tension? Look no further than Relief Point, a tension relieving website built to ease your aches and pain. | ['Kara Kim'] | [] | ['css', 'firebase', 'google-dialogflow', 'html5', 'javascript', 'kommunicate', 'photoshop'] | 122 |
10,436 | https://devpost.com/software/trackthyhonor-ek1xit | Inspiration
The SARS-CoV-2 pandemic has touched millions of lives across the world. In the U.S., more than 6 million people have been infected and at least 880,000 people have lost their lives to this brutal respiratory disease. People with SARS-CoV-2 infection experience a wide range of symptoms with common ones such as fever, dry cough and fatigue. Despite the fact that some people may be asymptomatic and still able to carry the virus and infect others, body temperature monitoring is still an easy and straightforward way to detect signs of infection.
Given the severity of the disease, governments across the world have implemented public health regulations of varying levels of stringency in order to contain the spread of the disease. While students and employees are gradually going back to in-person schooling and work, there is a rising demand for an efficient and accurate way of monitoring the health condition of people in public spaces. Although many self-reporting systems are in place to restrain potentially infected population to quarantine themselves, the effectiveness of such system is highly questionable and is solely based on one’s honor system.
What it does
We as engineers propose a web-based application for self-reporting purpose. For the prototype, we chose to focus on college students who are returning to campus for in-person classes. The students will log into the system with their personalized usernames and passwords, asked to report whether they have symptoms such as fever, cough etc, and upload a photo of them taking temperatures. The photo will be fed into an object detection algorithm in order to verify the presence of a thermometer and the temperature readings in the photo. Users will also have access to a dashboard that displays a history of body temperature and whether they have passed the daily screening.
How I built it
The web application is built with a React front end and Firebase backend. The object detection algorithm is a fine-tuned Mask-RCNN built in pytorch, and we intend to integrate the network into the web application using flask.
Challenges I ran into
We are met with many technical challenges, most prominently data collection and cleaning for training the neural network, and environmental setup for bridging react and firebase.
Accomplishments that I'm proud of
We are proud to have built the main backbone of the web application and close to finishing the neural network construction within the short time frame, without much prior experience.
What's next for TrackThyHonor
In the future, we envision to improve the robustness of the model to accurately recognize the presence of thermometer in the photos, or adding live object detection to further ensure that students are actually taking their temperature. At the same time, we would like to include more features in the web application to enforce proper social distancing. For example, the application may ask student users to estimate their approximate time of arrival and departure at the school so that the school can estimate how many students are present on campus at one particular time. Meanwhile, we will do our best to protect individuals privacy over health conditions and daily activities.
Built With
firebase
javascript
python
react
Try it out
github.com | TrackThyHonor | A centralized temperature reporting and information tracking system to ensure a safer campus/workspace under the COVID-induced environment | ['Lisa Liao', 'YuanyuanHe29 He', 'Ruijia Luo', 'jane-zha Zha'] | [] | ['firebase', 'javascript', 'python', 'react'] | 123 |
10,436 | https://devpost.com/software/synthetiscope | Inspiration
The Covid-19 Pandemic has shifted the paradigm for most individuals- and access to healthcare is more important than ever. We sought to bridge the gap for individuals who need to check in with their doctors, but do not want to risk going to the clinic.
What it does
Synthetiscope is intended to allow individuals to submit an audio file of their heart beat through a phone application. The application cleans up the audio and is then being developed to be sent to a physician.
How I built it
Synthetiscope was built using Python.
Built With
python
Try it out
github.com | Synthetiscope | Allowing individuals to send in heart beat data to doctors- from the comfort of their homes. | ['Tanishk Sinha', 'David Lu', 'Kesavan Venkatesh'] | [] | ['python'] | 124 |
10,436 | https://devpost.com/software/zindagi-m5e9pc | First impression of the extension after logging in
Example of showing users how to hover over an icon, which is not an intuitive action for those who are not used to navigating websites
First impression of the extension
After the first step of instructions
Inspiration
Since the global COVID-19 pandemic has affected our lives to a great extent (and has also taken the lives of people we know), Track 3 (Patient adherence and quality care during a global pandemic) was of great interest to us. We are eager to aid healthcare providers and professionals in helping patients navigate web interfaces.
Furthermore, both of us love tutoring and teaching people, so building a solution that tutors and teaches patients to use a web interface just seems natural for us to choose!
What it does
In short, Zindagi is a Google Chrome extension that, once installed, will guide a user through the login page all the way through to the dashboard inside. The scope of our work is very limited, as it would be a massive undertaking to fill the entire system with notes and Javascript effects! As such, the purpose of what we are turning in is to demonstrate the basics of the system and how they can be easily built upon!
How we built it
The project consists 90% of Javascript, 4% of HTML, 4% of CSS, and 2% of JSON. We created a manifest.json file as well as several JavaScript files that modify the HTML code of the MyChart pages. In this manner, we guide users through the MyChart interface. Here is the link to the MyChart page:
https://mychart.healthsystem.virginia.edu/Mychart/default.asp
?
Challenges we ran into
On the technical side, we struggled with handling URL redirects and ensuring that the Chrome extension still stays constant throughout those transitions. Furthermore, JavaScript is not a strong suit for either of us. We came into this hackathon prepared to create a solution to help alleviate mental health issues, but after hearing the problem pitches from Johns Hopkins University Telemedicine, we decided to just embrace the challenge and adventure of learning something new: Creating browser extensions!
Accomplishments that we're proud of
We are proud of the fact that we pulled through, even when we were not sure what we were doing or if we would figure things out in time. We are also pleased to have created a solution that could be a big help to the healthcare industry, as well as to all the patients around the country and world who would benefit from such technology.
What we learned
We learned a lot about current needs in healthcare (which we both hope to work towards improving in the future, in some way), as well as how difficult it is to navigate MyChart! On the Technical side, we learned a lot about JavaScript too.
What's next for Zindagi
Honestly, we would love to see this idea adopted not just for MyChart but for platforms such as TeleHealth that patients may find hard to navigate. Technical next steps include loading audio renditions of the displayed text, which could even be translated into different languages so that those who are not proficient in English can navigate these systems.
While we may not be the most technologically savvy people at this hackathon, we really hope that someone in industry will take note of this idea and run with it, because we would love to see it implemented in the real world!!! Browser extensions are very lightweight, and once users have them, they can simply turn the extensions on or off depending on when they need the help or not!
Built With
css
html
javascript
json
paint3d
Try it out
github.com | Zindagi | To aid those with low technical proficiency or who are not used to MyChart, Project Zindagi presents a Google Chrome extension that walks through MyChart to guide patients through how to use it | ['Renee Mitchell', 'Divya Balaji'] | [] | ['css', 'html', 'javascript', 'json', 'paint3d'] | 125 |
10,436 | https://devpost.com/software/b-sharp | Logo
Inspiration
With nearly 10,000 individuals turning 65 each day, the US is experiencing rampant growth in the 65-plus demographic. Of this population, nine in ten seniors intend to age-in-place, or live independently in their current homes regardless of income or ability level. While being a self-sufficient senior citizen relieves the financial burdens of assisted living, it introduces both physical and psychological concerns of personal safety, increased risk of cognitive decline such as dementia, and heightened feelings of loneliness - all of which are exacerbated in a global pandemic.
Music and musical therapy offer a multitude of benefits for those of all ages, such as improving self-esteem, decreasing psychological distress, promoting empowerment, and lessening feelings of isolation. Researchers have also found music to be one of the most effective sources of stimulation in the auditory cortex and other brain areas, serving to place unique demands on the nervous system and reduce the incidence of dementia by up to 50 percent. Unfortunately, older populations have neglected to adopt musical therapy due to physical limitations and reduced accessibility.
As individuals age, the white matter degeneration in the frontal lobe decreases performance in executive function, speed of processing, and memory. Additionally, by the age of 65, approximately one in three people have some form of vision-reducing eye disease, and approximately 50% of this demographic reports doctor-diagnosed arthritis. Such physical limitations prevent this age group from accessing the array of advantages that learning an instrument can provide to the user.
Moreover, studies have shown that participating in leisure activities, such as developing a hobby in the arts, is positively correlated with decreased morbidity and increased overall well-being.
What it does
Through simplified learning resources and private lessons, B Sharp subscribers can leverage tools to easily learn to play an instrument and thwart the negative effects of aging-in-place. B Sharp is a musical subscription service intended for seniors who live at home, which aims to foster a sense of accomplishment and community while combating cognitive decline and loneliness. Subscribers have the option to rent a musical instrument of their choosing (keyboard, acoustic guitar, or electric guitar), along with senior-adapted learning materials, a personal instructor, and access to the B Sharp broader community.
Each instrument (keyboard, acoustic guitar, or electric guitar) and sheet music is modified to enable those with arthritis, vision impairments, and other conditions to properly learn to play a musical instrument without any physical or mental restrictions. Additionally, with each subscription, B Sharp will connect the user to a local musician for personal weekly or bi-weekly instruction. The private coach will facilitate the senior’s learning through step-by-step instruction, unlimited access to the B Sharp-modified song database, formulation of personal, attainable goals, and facilitation of peer-to-peer connections with other local B Sharp members.
Catering to the 13.8 million senior citizens aging in isolation in the United States, B Sharp not only increases access to learning musical instruments but also offers a community of like-minded individuals searching for a sense of belonging and accomplishment.
How we built it
Leveraging existing tools for website development, we designed an engaging and published website. Additionally, we corresponded with owners of existing musical technologies to fully develop an immersive and realistic solution at the intersection of technology, community, and learning.
Accomplishments that we're proud of
In the short period of time, we were able to effectively communicate a feasible solution to tackle the challenges associated with aging-in-place. We are proud that our concept takes into account the realities of the elderly population interfacing with technology while attempting to augment this relationship, enhance cognition, and facilitate community engagement.
What we learned
Throughout developing B Sharp, we grew keen on issues related to aging-in-place and recognized how deeply the 65-plus population has been affected by the isolation caused by COVID-19. Additionally, we have grown privy to the glaring benefits of music on psychosocial and behavioral tendencies.
What's next for B Sharp
In the future, our subscribers may look forward to a more expansive song database, a wider array of instruments, and connections within not only their local communities but also around the world.
Try it out
bsharp.zyrosite.com | B Sharp | B Sharp is a musical subscription service built to combat the hardships of aging-in-place by fostering a sense of accomplishment and community and thwarting cognitive decline and loneliness. | ['Alexa Podolsky', 'Allison Fleisher'] | [] | [] | 126 |
10,436 | https://devpost.com/software/virtualpals | Inspiration
We decided to focus on track one which involved aging in place with resilience and resources. Our group decided that the biggest impact quarantine and isolation had was on the elderly and COVID-19 patients. Elderly people were not able to properly communicate with their family due to their lack of technology knowledge. Our app was created such that elderly people would be able to communicate with not only their family and friends, but also, be able to meet new people who have similar interests while engaging and learning how to use modern technology.
What it does
Our app essentially lets users write and send letters to their friends. Furthermore, users are able to add friends based on a keyword or their name.
How we built it
We built a prototype of this app by using Invision to add functions to each page. Also, we used Canva to create each page of the app.
Challenges we ran into
The biggest challenge was finding an application that would allow us to collaborate and edit the project together. Also, it was difficult understanding how to use Invision and figuring out the differences between a prototype that we were creating and an actual app.
Another challenge we had was making the app as simple as possible for elderly people to use. We tried to make as many pages as possible and larger font size so it would be friendlier to elderly people.
Accomplishments that we're proud of
The entire prototype was an accomplishment. We're all very proud of the prototype and hopefully, it can become a real thing in the future.
What we learned
The biggest take-away from this project was that making resources available for the most vulnerable in society is important. Quarantine has showed me that the people who suffer the most during these times are the elderly and people in care homes. They're isolated during this time so having resources made available to them is important. One of the most important things during quarantine is being able to communicate and connect with people in a safe way. Our app helps to connect elderly with their families or friends and help them communicate safely and effectively.
What's next for VirtualPals
Hopefully, this prototype will become an actual app. We would start to expand it and add more stickers and extra features (such as video chat and in-app games).
Built With
canva
invision
Try it out
invis.io | VirtualPals | This is a penpal app that is used to combat loneliness of the elderly and COVID-19 patients during this difficult time. | ['Yasmin Modarai', 'Helen Li', 'Soh-Hyun Hur', 'Madiha Anjum'] | [] | ['canva', 'invision'] | 127 |
10,436 | https://devpost.com/software/sentijournal | Inspiration
With many people forced to stay at home during the Covid19 crisis, it has become much harder for caregivers, including physicians, therapists, and family members, to take care of at-risk members of our community (such as the elderly, and individuals with past mental health issues). According to studies from Rochester University, daily Journaling can manage anxiety, reduce stress, and help cope with depression by helping individuals confront and better understand the issues in their daily lives. SentiJournals allows individuals to write daily journals, which are then analyzed via Google NLP tools. The information gained by analyzing a large set of data from numerous journals can help caregivers better connect with their patients and further seek to improve mental health conditions by providing patients with advice and support. SentiJournals analyses provide an intimate view into a patient's life at a glance, using the power of data to providing a personalized healthcare experience with minimal time required by caregivers.
What it does
SentiJournals provides a platform for patients to write brief journals based on their daily emotions and experiences. These journals are then analyzed by the Google Natural Language Processing API, to give a breakdown of the sentiment (overall emotion) in the journal. Caregivers (such as physicians, therapists, and family members) can view the sentiment breakdown and gain a better understanding of the patient's mental well being. Over time, as the patient contributes more daily journals, caregivers can better track and understand the patient's mental health and overall happiness based on the overall emotions present in their self-reflections.
How I built it
With a comprehensive backend and user-friendly frontend, SentiJournal seeks to make using the app easy for all parties involved. The backend is built with python, using a locally hosted Flask webserver and SQLite database for storage. Once journals are submitted by patients, the backend makes a call to Google Cloud's NLP Sentiment Analysis API. This breakdown is then passed along to caregivers via HTTP requests. The backend also manages logins/user registration with tokens.
The frontend of SentiJournal is a Kotlin-based app developed with Android Studio which collects information from users and passes it along to the backend via HTTP requests. The front end is designed with the intention of making it easily accessible and understandable for patients, and clean/organized for caregivers.
Challenges I ran into
I decided to work alone for this hackathon (my second hackathon ever!) as a personal challenge, and found that it can become very overwhelming very quickly! Working on the backend AND the frontend within a short period of time is an interesting, yet tiring challenge. Additionally, as this was my first time working with Google Cloud, I had to set up and configure my account to make API requests for the NLP sentimentality analysis. Thanks to the simplicity of the API, this process was greatly simplified!
Accomplishments that I'm proud of
I'm proud of the work and time that I put into SentiJournal, and the overall end outcome. It's very rewarding to see everything come together in the end!
What I learned
The greatest learning experience from this Hackathon was working with Google's NLP software. Before MedHacks, I did not know such software existed and found it really interesting to play with! I also appreciated the opportunity to learn more about the medical field and how software can play an important role.
What's next for SentiJournal
SentiJournal can benefit from powerful AI tools, which (when presented with a large enough set of anonymized journal sentimentality analyses), can be used to better understand the data. Implementing AI to handle the data would be an interesting new challenge! Improving the user interface is another significant goal of this project. By making the UX more elegant, the app will be able to encourage more users onto the platform. Further developing the architecture of the backend is also an important goal: switching from a SQLite database to MySQL and hosting the backend on a Google Cloud server would make the app much more functional and widely accessible.
Built With
android
flask
google-cloud
json
natural-language-processing
sqlite | SentiJournal | A journaling app that uses Google NLP to help caregivers track their patient's mental health over time. | ['Dinu Wijetunga'] | [] | ['android', 'flask', 'google-cloud', 'json', 'natural-language-processing', 'sqlite'] | 128 |
10,436 | https://devpost.com/software/mindfull | MindFull
Project Story
When creating MindFull we were inspired by the idea of creating a fun way to help sharpen and track users' minds. The activities we designed focused on giving elders, specifically those with cognitive decline, fun games to play to keep their minds engaged. The games we decided on creating were Trivia, Memory and an app for users to track tasks. The first challenge and obstacle we learned from was finding a way of persisting the data for each user independently of one another. Since we did not want to set up an entire backend for the time being, we decided to store all the users’ information in the browser’s localStorage object any time the Redux reducers received actions. The Redux store’s default state was then obtained from the browser’s localStorage. Next we started implementing the games. The first game Trivia, was implemented with an API. This big learning curve with this game was removing certain symbols from answers and questions returned by the API. We did this by converting the string from base64 given by the API to decimal. The next game was memory. The main challenge we faced in memory was figuring out a way to hide the cards and reveal them once they were selected. We did this by creating two css classes and changing between them with a button based on the state of that particular button.
Overall some of the main key takeaways that we learned during this process were, implementing browser localStorage, getting experience with React Hooks and Redux, and learning to style with Semantic UI React. We hope you enjoy our project!
Built With
css
html
javascript
jsx
opentdb
react
react-redux
redux
semantic-ui
Try it out
jasonl24.github.io | MindFull | The goal was to create an application that provides a personalized platform for elders, specifically those with cognitive decline, to practice fun memory games and keep track of tasks. | ['Jason Livinghouse', 'Nathan Hutchins'] | [] | ['css', 'html', 'javascript', 'jsx', 'opentdb', 'react', 'react-redux', 'redux', 'semantic-ui'] | 129 |
10,436 | https://devpost.com/software/sane-mind | Inspiration
Competitive exams offer us the opportunity to be a part of our country's most prestigious institutions. But all that glitters is not gold. The bomb of investments in terms of fees and time keeps ticking for our students. They completely isolate themselves, thinking this bold step will increase their probability to perform well. Little do they know that the distance which is supposed to keep them focused towards their goal, acts as a slow poison, eventually making our poor kids the easiest targets of depression and anxiety. Adding to this, COVID-19 has affected the student population of our country to such an extent that 28 innocent lives are lost on a daily basis as per the National Crime Records Bureau (NCRB) and the Indian Psychiatric Society.
What it does
Students with mental illness fear how society will treat them.
Because of this, a life of misery and solitude is shoved down their throats.
What we want to provide them, is a platform for rejuvenating their social life.
A platform where they will find companions without being judged.
We call this life-changing platform, SANEMID working on the ancient principles of ‘Chittavrittinirodha’ which means to calm the oscillation of the mind towards stability.
Challenges I ran into
Data collection was quite challenging as finding filtered data was next to impossible, a lot of time was wasted to find clean data on which the machine learning model could be trained. Training and testing the model on customized data is still not perfect because of the slight errors in learning and deployment.
Some features are
Sharing data : A feature that can allow users to share their moods on social media, directly with family members, or with healthcare providers.
Matching users and therapists : After gathering a user’s medical data through a set of questions, a mental health app can use an algorithm to recommend suitable therapists.
Like-minded communities : Dealing with something is easier when there are others around you who are also dealing with it. This can help users know they’re not alone and can pull them through hard times.
Journals and Blogs : Not everyone is comfortable physically writing down their thoughts and feelings, a journaling feature in our app could be a portable and secure solution.
Relaxation techniques : Mindfulness is a great way to improve everyday life. Breathing techniques, guided and unguided meditation, prayers, and positive affirmations are just a few of the features you might incorporate into your app.
Volunteering Feature : We will appreciate the efforts of all our volunteers, with a vote of thanks and an appreciation certificate for their service to society.
What's next for SANE MIND
In the new order of social distancing, homes are the new classrooms. Welcome to post-coronavirus reality where technology dictates the terms. SANEMIND is there for your rescue. Efforts will be made to uplift your mood from the routine boredom and negativity.
For all competitive examination aspirants, dedicated counseling sessions would be provided for the all-embracing mental well being of the candidates, without facing interruption from social media.
Built With
angular.js
bootstrap
charts.js
figma
firebase
invision
javascript
machine-learning
python
Try it out
github.com | SANE MIND- Mental Healthcare for our students | Your brain's fitness trainer! | ['G B'] | [] | ['angular.js', 'bootstrap', 'charts.js', 'figma', 'firebase', 'invision', 'javascript', 'machine-learning', 'python'] | 130 |
10,436 | https://devpost.com/software/cama-cloud-artificial-medical-assistant | Project Logo and App Logo
Inspiration: Voice recognition software and QR coding that is currently used around the world as well as Google's AI interface and data driven software.
What it does: Gives patients a user friendly AI that is able to remind, relay and retrieve information regarding hospital or medical institutional visits, as well as act as a tool to monitor patient progression during their rehabilitation.
How I built it: We built it using the Google Cloud app framework, as-well as Google slides
Challenges I ran into: Being unfamiliar with Google Cloud we had difficulties generating an app.
Accomplishments that I'm proud of: We used MyGoodBarber App to create the product for this project, and we were able to successfully create what we had envisioned.
What I learned: Having coding or prior knowledge in the coding related field especially in app development is able to help design a finished product.
What's next for CAMA - Cloud Artificial Medical Assistant
Use Google Cloud to mimic what we developed on GoogleBarber so that google cloud can incorporate other Google related tools and applications such as Google Calendar, Google Maps and Google's Tools.
References we used in the powerpoint video are linked at the end of the video where we reference any images we used for our project, as well as referring to the Wix software for the production of our logo and the MyGoodBarber Application to produce the screen captured app function.
In addition, the youtube video that is linked on the video presentation when our presentation is referring to its feature and "CAMA x Test Results" slide, was gathered from:
https://www.youtube.com/watch?v=XfyGv-xwjlI&feature=youtu.be&ab_channel=AlilaMedicalMedia
Built With
google
google-cloud
mygoodbarber
wix | CAMA - Cloud Artificial Medical Assistant | A personalized medical assistant application that will be able to relay important client/patient information from the hospital and simplify user experience to ensure user satisfaction. | ['Oscar Leung', 'Angelique Shek'] | [] | ['google', 'google-cloud', 'mygoodbarber', 'wix'] | 131 |
10,436 | https://devpost.com/software/de-mist-ifying-the-flu-vaccine | The home page of the site
The next page transitions in to show the question cards
Each question card has a pop up with cited information
Inspiration
When we started our project, we immediately started discussing issues related to health misinformation and distrust of the public health system. While we considered doing a project related to COVID-19, we ended up focusing on the seasonal flu since it poses a unique threat to public health this season (the COVID-19 and flu “twin-demic”).
What it does
We approached flu vaccination from the perspective of someone who might not be sure about whether or not to get their flu shot, so we created a web app with questions we thought were important and interactive data to show the answers. Since vaccination is a particularly polarizing issue this year, we put special effort into making the questions and answers kind rather than condescending towards the people who may have them. We came up with the questions based on the health belief model, hypothesizing that the most important factors are perceived susceptibility to flu viruses, perceived benefit of the flu vaccine, and perceived threats or health dangers associated with vaccination. Every one of our questions addresses one of these three categories.
How we built it
The website is built using React and it is hosted by github pages. The site is all on one page and uses css transitions to navigate the pages. We created a QuestionCard component that maintains a pop up with the information. These cards are displayed using css grid to have a responsive design. We used React’s state functionality so when you click on the box it opens a popup with interactive data, a paragraph answer, and citations. The information popup component uses the rechart graph library to display data we manually entered.
Challenges we ran into
Data collection was difficult because we couldn’t find any easily accessible API’s for this type of dataset. So, we gathered the data manually and used a graph library called recharts to display the data. Another challenge was the time. We wanted to have more interactivity and options on the website but as we were new to this, we couldn’t do all of it in the allocated time. Therefore, we restricted ourselves to only five key questions, and focused on making the answers and graphics the best that we could. Finally, styling and creating the layout proved difficult as CSS doesn’t always play nice.
Accomplishments that we're proud of
This is our first completed hackathon project!! We are very proud of completing our project on time! We are also very proud of how this project incorporated the diverse skill sets of our 3 group members. We only had one official coder, yet all of us were working the whole time. And, despite the virtual environment, our team maintained good communication throughout the process and worked together very well. It was a really great learning experience and we are excited for more hackathons in the future.
What we learned
Each member of our group has done something outside of their normal comfort zone. One member used the recharts library for the first time to make several really cool interpretations of CDC data. Another member learned some Javascript to work with the data. The last group member designed all the graphics and user interface details, and learned several new skills in Adobe Illustrator.
What's next for De-Mist-ifying the Flu Vaccine
We had several ideas for expanding our idea, including adding a drop-down menu to the front page (to cover topics other than flu vaccination) as well as adding more interactive graphs and charts. Also, it would be very interesting to embed videos of doctors answering questions to give the webapp a more personal touch. However, the lofty goal we have is to centralize this type of data for users, so in the future, we would be able to automate these questions using a language API.
Built With
react
recharts
Try it out
morales0.github.io | De-Mist-ifying the Flu Vaccine | Combat Flu vaccine hesitancy with interactive answers to common questions. | ['Moti Heda', 'Francisco Morales'] | [] | ['react', 'recharts'] | 132 |
10,436 | https://devpost.com/software/communicare | Inspiration
While many would like to live at home for the longest time possible, it can be hard to enjoy the many benefits it brings when age makes once trivial tasks a burden to complete. Therefore, we have built a platform in an attempt to overcome those issues and in the same time, address some disadvantages of living at home.
What it does
Communicare is a web application that connects people in need of assistance in their daily life with either other users or certified professionals who would be ready to help them out. The user can make and accept help demands which can be public, depending on whether they need the help of a professional or not. This system gives each person a granular control of how much help they need in their daily life and helps them keep up with their social life by providing a community driven platform.
How We built it
The website, which is hosted by Heroku, is built using the Angular framework. Our frontend communicates with our node.js backend through a REST api. All our user data is stored in the cloud with the help MongoDB Atlas.
Challenges we ran into
Creating a calendar system was more complicated than expected.
Accomplishments that we're proud of
We were able to finish the project despite the many bugs we encountered.
What we learned
We learned that even with simple ideas, the cost of implementing may be much longer than planned out. We also learned a lot about the many difficulties that aging in place poses on many people during our research on the subject.
What's next for Communicare
We would like to focus more on the social side of the platform where we could add features such as pairing multiple users who have the same block of free time in their schedule and organize activities for them. This of course includes a messaging app, bug fixes and better connection options between the 2 users.
Built With
angular.js
express.js
html
javascript
mongodb
node.js
scss
typescript
Try it out
www.communicares.tech
github.com | Communicare | platform to make living at home easier and more community focused | ['Andy Yu', 'Simon Wang', 'Ed Win'] | [] | ['angular.js', 'express.js', 'html', 'javascript', 'mongodb', 'node.js', 'scss', 'typescript'] | 133 |
10,436 | https://devpost.com/software/the-chatty-cathys | Inspiration
One of the most pressing issues Johns Hopkins Medicine representatives shared in their pitch presentation is that many patients have difficulty navigating the video visit technology that providers have increasingly relied on during the COVID-19 pandemic. This is especially true for underserved patients who have “low health literacy, low-tech literacy, or limited English proficiency.” We, the Chatty Cathys, came together to use our lived experiences and knowledge on health disparities in underserved populations to develop a platform that served as a more accessible site.
What it does
Chatty Cathy creates an user-friendly platform for those with low health literacy, low-tech literacy, or limited English proficiency. Our platform ultimately hopes to prepare underserved patient populations for their telemedicine visit, and shift the technological burden off of healthcare providers in helping patients access their telehealth services. Since accessibility informed a large part of Chatty Cathy’s design, we implemented key features such as larger font sizes and sensitive colors for the visually impaired, multiple language support, and mobile-browser compatibility. We also modeled the chatbot to answer common questions about COVID-19.
How we built it
We used HTML/CSS, JavaScript, Google Cloud Dialogflow API, and Botcopy to build our website. Additionally, we relied on research papers and reputable sites for factual background information to inform our proposed solutions.
Challenges we ran into
One of our first initial challenges was figuring out how to model a chatbot and determining which services to use to help us bring that vision to reality(Microsoft Azure, Google Cloud Platform/Dialogflow, etc.). We ultimately chose Google Dialogflow because of its advanced natural language understanding capabilities. We also had difficulty figuring out how to connect a chatbot with a website platform.
Accomplishments that we're proud of
We all were unfamiliar with Google Cloud and what it has to offer, but after working together, we’ve familiarized ourselves with the platform. Additionally, we were able to take advantage of the diverse backgrounds and perspectives of the team members to solve a problem we were all passionate about.
What we learned
We all were unfamiliar with Google Cloud and what it has to offer, but after working together, we’ve familiarized ourselves with the platform. Additionally, we were able to take advantage of the diverse backgrounds and perspectives of the team members to solve a problem we were all passionate about.
What's next for The Chatty Cathys
We are hoping and working to use Sendgrid to synchronize our chat bot to SMS and email for even wider-use among those with low tech proficiency. We would want to expand our list of languages. As of right now, we only offer English and Spanish; however, we want to cater towards as many languages with accurate translations. Our team has proficient Arabic and Bengali speakers and we hope to recruit other college students who are proficient in other languages. Lastly, we currently have the chat-bot ask the user if they want to save their symptoms for storage in a diary-like platform, but we hope to interface this information with a physician so that they have a record of a patient’s symptoms from real-time.
Built With
botcopy
css
dialogflow
github
google-cloud
html
javascript
Try it out
chatty-cathy.github.io | The Chatty Cathys | Creating an accessible telemedicine-focused chatbot catering to underserved populations, with limited tech literacy and non-English proficiency | ['Rahma Ibrahim', 'Tasnim Sayeeda Emu', 'Raphael Brosula', 'Taha Zirapury', 'Tyler Bruno'] | [] | ['botcopy', 'css', 'dialogflow', 'github', 'google-cloud', 'html', 'javascript'] | 134 |
10,436 | https://devpost.com/software/dermassist | Inspiration
By 2060, 47% of Americans will have nonwhite skin. However, a CDC study from 2009-2013 demonstrated 47% of dermatologists felt that their training was inadequate to diagnose skin disease in skin of color. This may be contributing to the phenomenon that patients with skin of color in the US present with more advanced disease and have lower survival rates than their fair-skinned counterparts.
Under-representation of skin color is not only an educational issue but a patient safety issue. A UCSF dermatologist witnessed a delay in diagnosis and treatment for a patient with a rash that was subsequently diagnosed as toxic epidermal necrolysis because the ‘characteristic’ redness that dermatologists seek to make the diagnosis can be subtle in skin of color. In other situations, visual diagnosis was either debated or delayed until a more invasive biopsy revealed a common disorder that presented in a non classic way due to the patient's darker skin.
Recently, ML has been used to create programs capable of distinguishing between images of benign and malignant moles with accuracy similar to that of board certified dermatologists. Although ML algorithms can augment human decision making and has the potential to enhance the delivery of quality healthcare, ML algorithms must be trained, tested, and fine-tuned on a sufficient number of data points. Most existing ML programs are biased due to largely learning on light skin.
To avoid bias, we trained our deep learning algorithm on equal numbers of images in each skin tone category. This algorithm, integrated into a mobile app, will serve as a clinical decision support tool in real time to help diagnose the 'uncharacteristic' presentations of skin lesions.
What it does
Our deep learning algorithm was trained on images from the HAM10000 dataset and imported into Android Studio so that it can be used as a mobile app. After the user captures an image with the device camera, the photo is fed as an input into the algorithm for it to suggest a diagnosis. The user can then confirm or deny the app's suggestion, and then the algorithm will learn from this action to improve future predictions.
How I built it
We utilized the HAM10000 dataset which consists of dermatoscopic images which are a representative collection of important skin pathologies, including melanoma and basal cell carcinoma. We then used an algorithm to categorize these images based on skin tones. Using an equal number of images from each skin tone category to prevent introduction of bias against darker skin tones, the deep learning algorithm was trained to classify the images into the appropriate diagnoses. Training of our deep learning algorithm was done using Pytorch.
Challenges I ran into
Our team has very little coding and app development experience. A challenge we faced was integrating a machine learning algorithm into Android Studio to emulate our mobile app.
Accomplishments that I'm proud of
Being able to learn about deep learning algorithms, their applications, and their impact on the medical field given that our deep had little knowledge in this area before MedHacks.
What I learned
There is a lot of data out there to be used! We found that the HAM10000 dataset had been used in many other skin diagnosis applications, but not in the way we wanted it to be used--to aid in the diagnosis of skin lesions in darker skin in particular.
What's next for DermAssist
With patient consent, we hope to feed the images captured by users of our mobile app into a database so that we can create a open source database that is well balanced in skin color and representative of our global society. Then, these images can be further used for medical training and the creation of more advanced tools.
Built With
android-studio
matlab
python | DermAssist | dermatological clinical decision support tool targeting underrepresented skin tones | ['Max Stahl', 'Heidi Huang', 'Sarah Geissler', 'Gabriel Brosula', 'Amanda Chan'] | [] | ['android-studio', 'matlab', 'python'] | 135 |
10,436 | https://devpost.com/software/mychart-simplestart-cfdw0m | Inspiration
MyChart, a platform used by workers at a medical center and patients, is a relatively new technology for patients. MyChart has become pervasive across hospitals but not across patients. Many patients do not have MyChart and are not aware of the sign-up process. We found the current sign-up system, specifically for patients from the John Hopkins Medicine Clinic Center, time-consuming, and confusing for most users.
If the form that a patient has submitted contains any information that mismatches the record that the JHU clinic center has in their database, the patient's request for the sign-up is automatically rejected but is not informed to the patient with any other notification but by giving them no follow-up email. The patient has to voluntarily either contact his or her provider’s office or call the MyChart helpline to fix the mismatch and restart the sign-up process. Also, even after the patient eventually completes the sign-up form on their computer, the patient needs to go to the app store and download the MyChart App to actually use the platform. Based on our research, we concluded that this Sign-Up for MyChart is not accessible and forgivable for patients who might be non-tech savvy and have made small mistakes when filling up their personal information. Therefore, our project focuses on how to make the MyChart sign-up process more timely-efficient and accessible to patients.
What it does
First of all, we divided the sign-up process responsibilities between providers and patients. Since the main problem is patients’ difficulty in setting up accounts, we are suggesting that providers create accounts and send download links to patients through email. This minimizes patients’ burden because they can just click on the link and get started with MyChart right away.
The process of setting up accounts for patients can be divided into four steps. First, patients need to complete a consent form for MyChart. Second, providers use a Structured Query Language (SQL) program to transfer patients’ information to the sign-up form. SQL enables users to extract specific data from databases such as EPIC. It then processes data into a desired format and saves it on a local computer. The SQL program will be customized to the hospital’s patient database. This program will be much more time-efficient than providers manually inputting data. Third, MyChart will send an email verifying that providers have successfully created an account. Then in the last step, providers will send an email to notify patients that their account is all set. Patients simply need to click the download link to install MyChart on their device.
How we built it
The first step in the sign-up process involves the completion of a MyChart consent form. The form had to disclose all information about how MyChart would use the patient’s medical information. Only then would the provider be able to upload all of the patient’s information onto MyChart without violating HIPAA regulations. This form would be sent by email to the patient, the patient would sign the agreement, and send it back to the provider to begin the MyChart sign-up process.
Once the patient has signed the consent form, SimpleStart would utilize a program that automates the data entry process into MyChart. The MyChart sign-up form needs basic patient information, such as their name, address, date of birth, sex, and social security number. The information needed to fill out this form is available in each patient’s medical record that is stored on the Johns Hopkins Hospital’s Epic Clarity database. Our program would be written in SQL, which is compatible with the Epic Clarity. The SQL program would search through the patient’s medical file in the Epic database, extract the information needed for MyChart, and directly upload the information into the online form. This would prevent the provider from having to manually input data to create accounts for each patient, and it would also decrease the number of data-entry mistakes that patients might make when creating their MyChart accounts. All that’s left to do for the provider is to finish the account creation process and send an email to the patient with links allowing them to download MyChart onto their device, and sign in to their account with a username and password.
Challenges we ran into
Our main challenge was to figure out which technology to use for transferring the patient's health records to MyChart sign up form. Since none of our team members are familiar with database management, we had to search for different ways to extract data from the web. We first looked at Web Scraping and the relevant source codes written in Python. From there, we found out that SQL can be used to extract information and save it in the desired format. We still haven't figured out how to develop the actual program, but we learned a lot about database management from this challenge.
Accomplishments that we're proud of
COVID-19 has resulted in a spike in telemedicine visits, causing hospitals to observe an increased strain on virtual management and appointment scheduling. While more patients have signed up for MyChart than ever, this process has not come without problems, and the frustration with the process is shared both on the patient and providers’ side. Previously, the solution for aiding patients in MyChart sign-ups has been to increase the engagement on the providers’ side: more instructions, more access to helplines, and more on-call troubleshooting and advice. However, healthcare providers not only have other, more urgent calls to take but also in-person appointments to handle.
With SimpleStart, we’ve accomplished a new and effective technological feature to both simplify the virtual sign-up process for patients and streamline the workflow for health providers. SimpleStart also solves the pressing issue of health data access: with its seamless and easy registration process, the feature allows nearly all demographics to view their electronic health information—especially the elderly and those who do not speak English as their first language.
What we learned
Through the process of creating SimpleStart, we were able to learn about both MyChart and its services as well as its issues with patient accessibility. We learned about hospital management software, particularly the EPIC database, how it operates, and how it can be manipulated to provide accessible healthcare to everyone especially in an era where technology is predominant in medicine. In creating SimpleStart, we had to look at MyChart through a critical lens to fully understand what made the service inaccessible in the first place especially for those who struggle with technology or may not have English as their first language and so we were able to learn a lot about accessibility in healthcare overall. Additionally, once we determined that our program would create automatic MyChart accounts for patients, we researched and were able to learn about methods of manipulating data to do so through web scraping and SQL which we ultimately used to form SimpleStart.
What's next for MyChart: SimpleStart
Our program at the moment streamlines the process of signing patients up for MyChart, which we’ve determined is one of the key issues of telemedicine at the moment. However, we have not yet addressed how we might simplify the process of navigating information within MyChart, scheduling and attending appointments, and accessing results. Our next steps after increasing the number of patients registered with MyChart would be to make sure that those patients have an equally painless experience using it.
Web scraping technology can be equally useful within MyChart as it is for signing up for MyChart. When patients have access to their entire medical history, it can be overwhelming, confusing, and full of unrecognizable terminology. Our team imagines a summary section, which selects certain key phrases and concerns from patients’ electronic health records to help them focus on their immediate health needs. This would not only clarify health data for a specific patient but also orient doctors quickly, freeing up their time to have more one-on-one consultations.
Try it out
docs.google.com | MyChart: SimpleStart | SimpleStart is a new and effective technological feature to both simplify the virtual sign-up process for patients and streamline the workflow for health providers. | ['Yewon Shin', 'Evelyn Shiang', 'Kyoungjin Lim', 'Prianca Nadkarni', 'Amy Mistri'] | [] | [] | 136 |
10,436 | https://devpost.com/software/rxplain-prescriptions-plainly | RxPlain (Prescriptions, Plainly)
RxPlain
Prescriptions, Plainly
Submission for MedHacks 2020; Track 2 - Personalized medicine using data driven healthcare
Inspiration
Health literacy is an issue for many patients for using their medications correctly/at all. The complicated details and instructions printed on the prescriptions and drug labels are hard to interpret and understand. Therefore, if a system exists that can translate this complex in a simple format, then the patients can be empowered into making educated decisions regarding their healthcare.
What it does
The app captures images of the prescriptions and drug labels and refers a database to display the information on the prescriptions in a simple terms. The RxPlain app displays information such as the purpose of the medication, the potential side effects/risks, and the intended dosage. It will also display a graphic that explains the drug working and metabolism in a simplified way.
How I built it
We built this using a Python backend and a Firebase web app that runs on html and Node.js. The Firebase web app allows the user to submit a prescription label of their choice for processing. This is processed by our backend, starting with pyteressact for the initial optical character recognition of the pictures. The output was fed into the med7 model, an information extraction model for clinical NLP trained on MIMIC-III free-text electronic health records, to extract the drug name and other information. This was then fed into the Drugs@FDA API to get a list of properties for the drug. The data is sent to the real time database for storage and retrieval.
We used Figma to create a demo "prototype" of the app, designing its initial layout.
Challenges I ran into
For the programming aspect, implementing the frontend was hard as none of us were familiar with html or Node.js, and even less with Firebase. We wanted to get the Firebase retreival working with a smooth user interface using CSS but ran out of time. For the other aspects, this was a first time hackathon for a lot of us, so brainstorming and coming up with a workable issue that we value was a challenge.
Accomplishments that I'm proud of
Irrespective of our limitations in the programming aspect, we were able to build the web app in a shot span of time that serves as a strong proof-of- concept of our idea. We are proud to be able to create an interface that is user friendly and generates a robust data visualization.
What I learned
We learnt about using Firebase to create a web app that is user friendly and is based on a robust proof-of-concept idea. We also learned about how to collaborate with a fully interdisciplinary team to create a workable product that benefits all sides of the problem.
What's next for RxPlain
Maybe learn a little more to optimize the frontend, then dig around in the backend for bug fixes and implement spell check for the NLP, and more streamlined updating of databases.
Built With
firebase
html
json
med7
node.js
pytesseract
python
spacy | RxPlain | Prescriptions, Plainly | ['David Shi', 'Feiyang Huang', 'Pranjali Sahasrabuddhey', 'Michael McKnight', 'Tony Yao'] | [] | ['firebase', 'html', 'json', 'med7', 'node.js', 'pytesseract', 'python', 'spacy'] | 137 |
10,436 | https://devpost.com/software/watchdmd-h0yvq6 | Logo (Physician)
Logo (Patient)
Inspiration
This project has been built taking inspiration from one of my high school classmates who suffered from DMD. I have closely seen his struggles and the inconveniences caused due to untimely muscle-weakening tests and after-effects of medications, and how they interfered with his daily life. Through this project, I have presented an idea that tries to limit unnecessary visits to a physician's office while being consistent at collecting data and the worsening of symptoms. This is a step towards providing personalized treatment since having all data and records at the leisure of the physician's phone will enable him to provide patient-specific plans.
What it does
The app is coupled with a chest belt that consists of force sensors. These sensors, via a simple python program, record the force exerted by the user on the belt. As this decreases over time, the physician will be able to record the decrease, along with this, the patient can fill a symptoms questionnaire that will further assist the physician to judge the patient's condition. The app also has other functionalities that promote personalized care such as prescription manager, exercise/physiotherapy center, discussion forum, chatboxes, etc.
How I built it
The prototype of the app has been built using Figma and the computer program for the sensors and reading comparison has been written in Python. Adobe Inventor has been used to design the chest belt prototype.
What's next for watchDMD
The next step would be to align the code with the interface of the app. Also, a way to connect the sensor information from the Python program to the mobile app needs to be determined.
Built With
figma
inventor
python
Try it out
www.figma.com | watchDMD | An app-based symptom tracking system for DMD patients and physicians, allowing doctors to implement personalized care as patient specific data is presented and recorded. | ['Namya Mehan'] | [] | ['figma', 'inventor', 'python'] | 138 |
10,436 | https://devpost.com/software/audinotes | Inspiration
Millions of Americans are diagnosed with dementia. By 2050, the United States population of people living with dementia is expected to increase from 5.7 million to 13.8 million, with 24% of this population living at home alone. Although most early-stage dementia patients prefer to function independently, the combination of severe cognitive impairment and other aging-related conditions creates obstacles to perform daily tasks, such as remembering to take medication and turning off the stove after cooking. To combat forgetfulness, many people living with dementia often opt to use sticky-notes to remind themselves of important tasks. However, as their disease progresses, it becomes harder and harder to keep track of all the necessary tasks that must be performed. This not only decreases a patient’s sense of self-efficacy but also increases the risk and/or severity of other clinical conditions, such as social isolation and neuropsychiatric symptoms. Despite the potential health ramifications of decreased self-efficacy, current dementia care practices as well as existing reminder technologies do not take this into consideration. To address this, we propose a three-part audio recording device that allows the patients to record personal messages and remind themselves on a daily basis. The intuitive user-interface, low cost, and convenience of our solution will allow the patient to perform tasks with more independence and increase their perceived self-efficacy.
Proposed Solution
Our solution consists of three parts: a wristband, a refrigerator magnet, and an app for caretakers.
The wristband has two simple functions: recording messages and setting a reminder timer.
The recording message function utilizes one big red button that the user has to hold while talking, once they release the button, the device will repeat the message and then ask the user to choose a daily reminder time.
The setting reminder timer function utilizes a scroll wheel on the side of the red button. Every time the user turns the wheel by one click, the wristband uses auditory feedback to confirm the time, once they confirm the time, they can hit the red button again to confirm. If they forgot to hit the red button, the wristband will still store the message after 5 minutes or before they start recording another message. Once the message is recorded, it will be stored in the wristband until it comes in contact with a magnet, then it will upload the message to the magnet.
The refrigerator magnet will have three functions: volume control, repeat all the messages, and mark a task completed and delete it.
The volume control function utilizes another scroller wheel for adjustment. It will play a song with the according volume for feedback.
The repeat all the messages is controlled by a yellow button with a repeat symbol in the middle. Every time before the device repeats a message, it will promptly state when this message is recorded.
While the user is listening to the messages, they can hit the green button with a check mark on top to mark the task complete and erase the message.
There can be multiple magnets in the house, whichever one the user makes contact first will be activated in the morning
The app interface allows caretakers to record their own messages and control which messages are recurring and cannot be deleted.
The wristband and the magnet talk to each other using bluetooth connection. Once the wristband gets into close range of the magnet for the first time in a day, the magnet will be activated and start playing music and remind the user that they have messages to hear. Only until the user hits the repeat messages button, the device will stop playing the music and play the recorded messages.
Value Proposition
The voice recording function of a wearable wristband enables recording tasks whenever and wherever patients come up with it.
The patients could manage their daily tasks by recording messages themselves, while having a default routine guarantee set by caregivers.
The interface of the device is intuitive and simple for the elderly to understand and operate. There are multiple embedded backup programs to ensure basic function and users’ safety in case of misoperations.
When the patient plans the schedule, his/her brain gets a moderate level of exercise which also help prevent the dementia to develop into a late stage
Risk Identification
Risk #1: Patient accidentally delete recurring messages
Mitigation strategy: Caregivers can use their app interface to protect recurring messages from being deleted
Risk #2: Patients forget to charge the wristband and it runs out of power
Mitigation strategy: We will use wireless charging pad to create the smoothest charging experience, and will remind users if the battery is low
Risk #3: Patients forgot to put the wristband on in the morning and cannot record their messages or listen to previous messages
Mitigation strategy: We will program a default reminder within our product. The magnets located around the house will remind the user to put on their wristband in the morning.
What's next for Audinotes (Implementation Strategy)
Our implementation strategy is divided into 3 parts: design and development of magnet and wristband, accompanying app development, and verification and validation testing. To do this, we will divide our team into 2 groups. The first group will be focusing on creating prototypes of the magnet and wristband, and the second group will be working on developing an app that accompanies our solution. Finally, to test our solution with respect to our design criteria (intuitiveness, convenience, and low cost), we plan to conduct a pilot study, where dementia patients who live alone are asked to evaluate their experience in using our solution as well as their perceived self-efficacy before and after using our solution. We will quantify the impact of our solution on patient self-efficacy via subjective surveys and quantitative measurements.
Our marketing strategy will be centered around the main appeal of our product as a more affordable, more accessible, intuitive, and robust alternative to simply using sticky-notes to set reminders. To ensure the successful launch of our product into the market, we will conduct thorough market research through interviews with dementia patients, caregivers, and geriatricians. Furthermore, we will partner with local geriatric practices to increase awareness around our product. As our customer base grows, we will continue to update our product to increase its usability and accessibility. | Audinotes | Convenient note-taking device for elderly dementia patients | ['Ze Ou', 'Wendy Wu', 'Dingjingyu Zhou', 'Annie Liang'] | [] | [] | 139 |
10,436 | https://devpost.com/software/mealth | Inspiration
The recent wave of increased self-isolation the COVID-19 has brought with it an urgent need for self-care and monitoring. While measures have been taken to address the issue of mental health, there is a lack of mental health platforms targeted towards the welfare of the elderly people.
What it does
The app receives speech audio input from the user, and classifies them into an emotional state based on the user’s tone of voice. From this classification, the app produces a custom list of questions designed to analyze anger/depression/anxiety levels. All communication occurs via speech. After analyzing the responses and quantifying the user’s anger/depression/anxiety, it produces an action based recommendation to provide coping abilities to the user. The algorithm also takes into account the age and mobility level of the user. It also provides immediate resources for the suicide hotline if it detects statements of self harm, hopelessness, and suicide.
How we built it
Our process began by intensive research followed by curating a list of questions to ask the user based on research from reputable sources ranging from the World Health Organization, Centers for Disease Control and Prevention, Mental Health America, and a multitude of academic papers. These questions were mostly open-ended and designed to assess characteristics in a user's response.
We used the Empath API to gather information pertaining to cues in tone of voice (anger, sadness, anxiety), and IBM Watson to analyze content from speech input. This information was then fed into a Python script that could make action-based recommendations based on the user's age, mobility, and mood. We used FastAPI to create an endpoint that could be accessed by our React frontend and use these recommendations to interact with the user in realtime.
We analyzed the 7 quality of life domains to open dialogue and determine our recommendations. In addition to our customized recommendations, we link our users to a centralized net of resources ranging from applications, videos, articles, and events to continue supporting their journey.
Challenges we ran into
Fetching the audio file into the back-end proved to be a somewhat cumbersome and complicated process. Currently we are able to use file encoding transmit it as text but this is not very efficient. The Empath API has a size limit to the size of audio files that can be inputted so refinements would have to be made before deploying the app for production. Moreover, we had initially planned to use Voiceflow to serve as our main front-end component; however, it did not allow us the flexibility to integrate our custom backend API that we needed so we had to switch to building our own web app halfway. This led us to not being able to finish all of out front-end code.
Accomplishments that we're proud of
In less than 36 hours, we were able to build a fully functional back-end program! The application is able to receive a .wav file, classify the user into an emotional state based on the tone of their voice, provide a series of questions based on that classification, and produce a final recommendation based on the content in the user’s answers and previously stated mobility levels. Moreover, even with the time crunch we were able to get the preliminary code developed for frontend and backend communication.
As a team we were very adaptive and communicated and collaborated effectively while supporting each other. We respected each other's commitments, time zones, and skill rangers and made sure everyone felt that they were able to raise their questions/feedback/concerns and that they were able to make a meaningful contribution.
What we learned
As a whole, the process of conceptualizing and developing an idea from scratch delivered a lot of insight into product strategy and marketing. Moreover, this was much of the team's first time developing and assembling a full-stack web application, especially using tools such as the FastAPI framework.
What's next for Mealth
We hope to be able to expand this project in several ways.
Developing a mobile application to increase accessibility among the 55+ population.
Build an Alexa skill in order to integrate its capabilities with Alexa’s virtual assistant.
Automation testing to increase the precision of our backend API.
Conduct further research to incorporate more emotional states and combinations.
Integrate different languages and analyze change in sentiment
Built With
empath
fastapi
ibm-watson
python
react
Try it out
github.com
www.figma.com
docs.google.com | Mealth | The Future of Mental Health Care: Improving the Lives of Our Elders | ['Rayan Alim', 'Adam Landa', 'Maria Jose Garcia', 'Revanth Banala Nithyanandam', 'Rehan Ayub'] | [] | ['empath', 'fastapi', 'ibm-watson', 'python', 'react'] | 140 |
10,436 | https://devpost.com/software/test-kmn0sp | Inspiration
Our main inspiration comes from the elderly and the non-tech savvy patients that are trying really hard to get adjusted of the new form of telemedicine communication. The use of video calls and online forms are new resources that are outside from their expertise of knowledge and takes away from the interpersonal relationship that doctors have with patients. Our project revolves around the purpose to make their doctor visit easier to access and overall beneficial experience.
What it does
It is a simple, user friendly video chat website, where all you have to do is type in/click a easy to remember link and you will automatically be connected into the video chat with no logins, or extra steps required.
How we built it
This website is built using vanilla JavaScript, with PeerJS as a wrapper around WebRTC. It uses the url path as a video chat id, and can start a video chat by just navigating to the url in which you want to use. It is hosted using Firebase hosting, and uses their URL rewrite engine so that every path is always redirected to index.html.
Challenges
One challenge was learning how WebRTC worked in the short amount of time that we had, as well as making it easy to use for those of whom are not very technically savvy.
Accomplishments that we're proud of
We are proud of being able to build a realtime video chat website within 2 days, without any prior knowledge of how to use WebRTC.
What we learned
We learned how to use WebRTC, and how it can benefit the medical field.
What's next for Simple Telemedicine Visits
The next steps for Simple Telemedicine Visits would be to make the UI prettier, as well as add support for group video calls. Another idea that we had was to include a survey before the patients were connected to ask for basic medical data such as their temperature, medication information, insurance information, and all necessary recurring patient forms.
Built With
firebase
javascript
peerjs
webrtc
Try it out
simptech.tech
github.com | Simple Telemedicine Visits | The biggest problem doctors face in telemedicine visits is the patients lack familiarity with the online platforms. Our goal was to make telemedicine visits easy to access and informative. | ['Alex Zapata', 'Santiago Lopez', 'Brian Wieder'] | [] | ['firebase', 'javascript', 'peerjs', 'webrtc'] | 141 |
10,436 | https://devpost.com/software/remindrx | Inspiration
There is a dire need for efficient telehealth services
What it does
*Contact-free prescription fullfilment
*Ad-hoc telehealth sessions
*Body temperature, blood oxygen saturation, pulse rate monitor
*Pill identification
How we built it
React native, GCP, ML, no sleep
Challenges we ran into
-Pill identification is complex
Accomplishments that we're proud of
-It works
What we learned
-Impact of telehealth
What's next for RemindRX
-Handle payments
Built With
google-cloud
react-native
Try it out
github.com | RemindRX | Efficient telehealth services | ['Ebtesam Haque', 'Muntaser Syed'] | [] | ['google-cloud', 'react-native'] | 142 |
10,436 | https://devpost.com/software/medicom | Doctor's Panel
Fake News Detector
Video Appointments
Anonymous Mental Health Consultation
Doctor's Login
Inspiration
Due the rise of corona virus the healthcare sector seems to face a scarcity in the reach of doctors. This inspired us to create Medicom so that patients could get in contact with medical aid remotely and easily. Also, it prevents people getting from influenced from any kind of fake news on the internet, harming themselves more than the diseases.
What it does
Medicom has the following features :
Patient-Doctor Community
One-to-One video appointments
Fake News Detector and Original News Source Gatherer
Anonymous Mental Health Consultation
How we built it
We build it upon android systems so as to expand it's reach. We used Firebase as the backend of this project due to simplicity and flexibility of the API. We used the power of neural networks for fake news detection and Vidyo.io for Video conference.
What challenges we faced
It took a lot of careful study and time to implement the video conference api as well as to tweak the fake news detector model.
What's next for Medicom
Some of the future features of Medicom would be as follows :
Expand the app to other systems like web.
Add an online medicine purchase and prescription store.
Fix in person appointments for doctors and patients.
Medical Emergency signal.
Built With
android
firebase
java
tensorflow
Try it out
github.com | Medicom | An app to maximize the reach of doctors. | ['Chinmoy Chakraborty', 'Vishwaas Saxena'] | [] | ['android', 'firebase', 'java', 'tensorflow'] | 143 |
10,436 | https://devpost.com/software/carequest | landing page + CareBot
Services Tab
Mission statement
Interactive Dashboard
Interactive Dashboard
Track-a-Bed
Track-a-Bed : Highlight Hospitals
Track-a-Bed : Search + COVID Testing Centers
Track-a-Bed : Routing
Plasma Bank
Plasma Bank : Info
Plasma Bank : Donor Form
Plasma Bank : Common Pool
CareNet : User Dashboard
CareNet : Admin Panel
COVID Tracer : Login
COVID Tracer : Main Application
COVID related live fetch FaQs
Dev Team
Plasma Bank : Mailing Service
Inspiration
COVID-19 has been on a rampage all across the globe since the past 5 months. From less than a million cases in February, and currently having more than 10 million cases across the globe. This has caused widespread panic and disorder. This panic is interfering with not only the functioning of already established medical structure, but also allocation of resources which can cost someone's life.
What it does
With increasing reach of technology, relevant information can be extracted from concerned authorities. This information can be used in resource allocation to balance load on various authorities. Providing information can keep people informed about the current scenario and have a calming effect. CareQuest aims to bring order to the chaos caused by COVID-19. To do so, CareQuest services extracts information from its custom network of registered hospitals and government sources which is used in resource allocation and service recommendation with the aim of load balancing.
How we built it
We have used multiple API(s) throughout the project, which in combination with realtime Google Cloud's Firebase gives the user a flawless experience during the pandemic. We have combined multiple API(s) with geolocation services (Google Cloud Map API + Here Maps API) and realtime notification applications (PushBot) to provide extra flexibility to the user. Also, the project is equipped with an AI based bot - CareBot, made using IBM Watson. Furthermore, we have included Firebase Admin package to assign roles to the users with privileges. Last but not the least, we have also include live updates for geo-location in order to achieve contact tracing capabilities for COVID Tracer, which not only updates your COVID status, but even alerts about any infected person around you.
Architecture :
https://github.com/barthwalumang/CareQuest#Architecture
Built with
https://github.com/barthwalumang/CareQuest#built-with
Challenges we ran into
Data Security issues to protect user's geo-position and location history
API stream exchange failure
Accomplishments that we're proud of
AI based bot - Assistant Sigma
Real-time Forms, Database, and Map services
Interactive Dashboard
COVID19 Tracer
Admin Panel
What we learned
Learnt a lot about APIs and Google Cloud services. Also, managed to brush upon our AI and web development skills.
What's next for CareQuest
SMS and mailing services for COVID19 Tracer to make contact tracing more efficient and reliable
Newsletter subscription for the user to keep him / her updated about all the changes around him / her on a daily basis
Inbox feature for CareNet to enable private conversations between hospitals
COVID Community Risk Indicator to be included in COVID19 Tracer to provide realtime updates to alert people about the surfaces and areas to avoid during this pandemic
OpenCV to check if the user is wearing mask or not
Built With
aos
bootstrap
css3
firebase
github
here-map
heroku
html5
ibm-watson
javascript
jquery
mongodb
node.js
pushbot
python
semantic-ui
sendgrid
shell
tesseract
Try it out
care-quest-bitsians.herokuapp.com
github.com | CareQuest | A load balancing platform for medical services aimed at bringing order to the chaos caused by COVID-19 | ['Prashant Jha', 'Barthwal Umang', 'Apoorv Garg'] | [] | ['aos', 'bootstrap', 'css3', 'firebase', 'github', 'here-map', 'heroku', 'html5', 'ibm-watson', 'javascript', 'jquery', 'mongodb', 'node.js', 'pushbot', 'python', 'semantic-ui', 'sendgrid', 'shell', 'tesseract'] | 144 |
10,439 | https://devpost.com/software/day-by-day | The homepage where the user can rate metrics about their mental health.
A prompt asking if the user would like to seek professional help.
Calendar showing past days and their associated reports.
Inspiration
Now more than ever (with quarantine and stay at home orders), mental health struggles have become apparent. Resources such as therapists and counselors have become distanced from their patients, and finding help can be a struggle. Day-by-day is an app that aims to fix that -- using guidance from the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders, we have created an app that can monitor and recognize changes in a person’s behavior indicative of potential illness, and connect them with professional help. With this easy to use app, we hope to promote awareness of mental health disorders and connect those in need with the help they deserve.
What it does
Using the DSM as a guide, the app can track and recognize patterns in a user's behavior that indicate signs of mental illness. If enough evidence is gathered, the user is provided with resources to help them seek professional guidance.
How we built it
Using Android Studio, a PDF of the DSM, SQLite, and a lot of hard work.
Challenges we ran into
Android Studio compatibility, getting our video submitted on time, teleworking.
Accomplishments that we're proud of
The app features a fully-functioning SQLite Database, web integration, and does what it sets out to do. It was also one of our members (Jonathan's) first-ever hackathon.
What we learned
Android Studio is a fickle one.
What's next for Day by Day
More support for a variety of mental disorders. Including but not limited to social anxiety disorder, bipolar II, schizophrenia and Alzheimer's.
Built With
android
java
sqlite
Try it out
github.com | Day-by-Day | With COVID-19 pushing us away from our past lives, mental illness is a battle fought day-by-day. | ['Alan Wen', 'Jonathan Chu', 'Elbert Cheng'] | ['Top Team'] | ['android', 'java', 'sqlite'] | 0 |
10,439 | https://devpost.com/software/tang-a-covid-19-tracing-application | Inspiration
We recognized that there is an issue on our campus of providing quick and reliable contact tracing information. Within just one month of moving back to our University of Dayton campus, over 15% of undergraduate students were diagnosed with COVID-19 and it was not until recently that our school was able to stabilize to a localized outbreak status.
Since students can only notify the individuals they are knowingly in contact with, there are many opportunities for errors in the process of contact tracing.
What it does
TANG collaborates with RFID sensors by passing along a hashed ID unique to each user to the sensor. The sensor then sends this information, along with the time and location, to a central database that stores the information. Then, when a user tests positive for COVID-19, the user will be able to upload their results to their health-care provider (or a certified third-party verifier), which will in turn pass along the verified results back to the central database. Then, the database will send a push notification to anyone who was in the same place at the same time, saying that they could have possibly come in contact with someone with COVID-19.
Due to using RFID technology at specified locations, the accuracy of this method would only be feasible for close-quarters locations. However, this can easily be implemented with businesses, universities, and other locations that already have RFID access methods, such as smart cards, badges, and other tokens. These locations would likely have their own sub-system of TANG for data-security purposes, but the end-result would still be the same.
How I built it
We made our own RFID sensor by using an Arduino equipped with various plugins. Google Firebase was used to store the location, hashed ID, and time data in the cloud.
Challenges I ran into
Time constraints and new technology, and the sparseness of hardware equipment available.
Accomplishments that I'm proud of
Putting together a server, application, and hardware component to successfully coordinate and create a system.
What I learned
This was the first time any of us had used an Arduino, and it was the first time any of us have used Firebase.
What's next for TANG: A COVID-19 Tracing Application
Implementing it to the University of Dayton campus' RFID system and improving on its design!
Built With
android-studio
arduino
firebase
java
javascript
json
Try it out
drive.google.com | TANG | A COVID-19 Tracing Application | ['Dena Schaeffer', 'Wesam Haddad', 'Quan Nguyen', 'Jonathon Henry', 'Shara Shrestha'] | ['Runner Up'] | ['android-studio', 'arduino', 'firebase', 'java', 'javascript', 'json'] | 1 |
10,439 | https://devpost.com/software/pharmabucks |
window.fbAsyncInit = function() {
FB.init({
appId : 115745995110194,
xfbml : true,
version : 'v3.3'
});
// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
function() {
$('[data-slick]').slick("setPosition")
}, 2500
)
}
});
};
(function (d, s, id) {
var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
js = d.createElement(s);
js.id = id;
js.src = "https://connect.facebook.net/en_US/sdk.js";
fjs.parentNode.insertBefore(js, fjs);
}(document, 'script', 'facebook-jssdk'));
PharmaBuck$ Website
Inspiration
During these unprecedented times, access to healthcare and medical resources are not only limited but also unsafe as the number of cases for Covid-19 increase. Moreover, this pandemic has caused many to lose their jobs, which leads to them also losing their benefits such as health insurance. On the bright side, technology is always adapting, and in times like this, it is when we need it the most.
Our team has come together today to tackle remote healthcare and help those who are struggling to find an affordable medication. Options ranging from Walmart, CVS, and Walgreens, the user can compare prices and choose from easily accessible pharmacies located nationwide.
How we built
With our simple user-friendly design, patients of all ages, including those who are less technologically literate, can easily navigate through the website. Using CSS, Javascript, and HTML, we designed PharmaBuck$. We chose Visual Studio as our development environment where we collaborated on a web application that will serve as a financial relief resource for these challenging times.
What it does
Our team decided to implement a search feature that allows quick access to the prices of drugs. For example, if we need to search for Sudafed... the list will condense into one option. We can then click these prices, it will bring you to their website. If we type Motrin, you can see what the list offers. If we type the letter ‘f’, you can see which drugs name has an f in them.
Challenges
During the development of our website, we faced challenges of using an API to extract data regarding the prices of each medicine. We were unable to access it so we had to manually extract the information and convert it into an Excel sheet.
What we learned/Accomplishments we're proud of
As this was our first hackathon, we came into this competition blindly with no prior knowledge. Throughout these 10 hours, we developed a website which we are each proud to present. We gained knowledge of various coding languages and developing environments. Our communication skills were also enhanced despite having virtual barriers.
What's Next for PharmaBuck$
We plan to further improve our web application adding more drugs, their prices, as well as more pharmacies to the search engine.
Built With
bootstrap
css
html
javascript
Try it out
github.com | PharmaBuck$ | Your one stop shop for comparing affordable medications. With our website, PharmaBuck$, we narrowed the patient’s search down to the most inexpensive versions of the medication they're looking for. | ['Kelly Dheng', 'Yelaine Linares', 'Jack Wu', 'Christopher Wu'] | ['Fan Favorite'] | ['bootstrap', 'css', 'html', 'javascript'] | 2 |
10,439 | https://devpost.com/software/covid-19-contact-tracing-vgmjhu | Inspiration
COVID-19 is affecting everyone's lives, and contact tracing is one of the best ways to tackle it.
What it does
Alerts people who have 1st and 2nd degree exposure to people who test positive or show symptoms for COVID-19
How we built it
Android Studio and collaboration
Challenges we ran into
Databases and Bluetooth Beacons
Accomplishments that we're proud of
Teamwork and Internal Memory Storage
What we learned
Teamwork and Databases
What's next for Covid-19 Contact Tracing
Proximity detection and cloud databases
Built With
android
java
xml | Covid-19 Contact Tracing | Android app to alert people of possible exposure to coronavirus. | ['Kevin Zhang', 'Darren Zhang', 'Rahul Varghese', 'Thien Nguyen'] | [] | ['android', 'java', 'xml'] | 3 |
10,439 | https://devpost.com/software/safe-zone-yw458u | Beginning
Map screen
Blue tooth screen
Profile
Inspiration: The global corona virus pandemic has affected has caused do much harm to many people around the world. We wanted to create an app that would help mitigate the spread of the disease by giving people the opportunity to track those they have been in contact with as well as as see how badly certain areas around them and around the world were affected.
What it does: The map feature allows users to see how many people in their area are affected via a red bubble that gets darker the more people are infected. The Bluetooth feature gives users their Bluetooth ID which they tracks the number of infected people they have been in contact with by comparing their Bluetooth IDs (this feature was not completed) Finally the profile feature saves user information about the eight most recent locations they have been to in a scroll view. If we had more time this feature would be able to show the status of those locations in terms of corona virus cases.
How I built it: We used the android studio development environment. Dart was the language we used to program the app. We used Google maps API to help us create the maps feature of the app. We used flutter to develop the UI for the app. Lastly we used git to coordinate amongst each of our work and collaborate effectively on this app.
Challenges I ran into: We did not have enough time to work on the app. For some of us it was a first hackathon so we were not familiar with how things work. Some team members had no experience at all with flutter, dart, or even git.
Accomplishments that I'm proud of: We were proud that we were able to make a usable app that can help people stay safe during the corona pandemic and has the potential to reduce the rate of infections
What I learned: We learnt a lot about android development, and app development in general. We learnt a lot about working as a team. We learnt some ne w programming language and frame works.
What's next for Safe Zone: With more time to work on this app. We would like to have the Bluetooth and profile features properly working and potentially have the option to push the app in the google Play store.
Built With
android-studio
dart
flutter
git
github
Try it out
github.com | Safe Zone | The safe zone app was designed to help users track their contact with people infected with corona and see the volume of cases in different areas through the map. | ['barakagwira tabitha', 'Gustavo Jimenez', 'Linh Tran', 'Thinh Nguyen'] | [] | ['android-studio', 'dart', 'flutter', 'git', 'github'] | 4 |
10,439 | https://devpost.com/software/traced-1sec59 | As high school students, we wanted to create a solution for the problem that troubles the modern world. TraCed uses a two-pronged approach to prevent and react to COVID cases. We used a multitude of softwares to put our project together including Android Studio (Java), Figma, Gsuite, python, the command line, and Atom. We took inspiration from Google and Apple’s contact tracing API in order to develop certain aspects of our app. We used our prior knowledge from CS classes but this wasn’t enough for all aspects of the app. We discussed our ideas with a mentor and learned about many app-development concepts over the course of this hackathon. Although we ran into challenges, we overcame them by thinking together and getting advice from mentors. Extensive collaboration with peers while developing skills in wireframing, API integration, app development and ideation allowed the team to solve real-world problems in our exciting first hackathon! We plan on improving our app to add functionality and provide access on all platforms. We are grateful for this opportunity to compete and hope to compete again in the future!
Built With
android-studio
figma
google-mapsapi
java | TraCed | Automated contact tracing and infection prevention. | ['Sohum Suthar', 'Rohan Jain', 'Rishi Boddu', 'PranavG Manoj', 'Siddharth Tiwari'] | [] | ['android-studio', 'figma', 'google-mapsapi', 'java'] | 5 |
10,439 | https://devpost.com/software/via-snfdjv | Opening
Login/Sign up
Questionnaire
Home Screen
Inspiration
We were inspired by apps such as Uber, Instagram, Twitter, etc. that kept the users informed while still being a multifunctional app- visually pleasing and maintained good communication. This these apps that change the world and help the general public stay informed and connected.
What it does
It alerts users of people around them with said virus (with consent). It actively searches the location for people who have been in contact or have the virus without storing their information. It also gives the number of cases in the user's surrounding area. Through the app, the user gets a visual aid of the circumstances that are occurring in their area in times of an epidemic/pandemic. This then allows the user to have a personal attachment to their communities and in hopes of gaining responsibility over their community to stop the spread of the virus.
How we built it
We used GitHub to code a sample code in Java, Figma to create the wireframes, and OneNote to create the flowchart.
Challenges we ran into
The challenges we ran into is balancing invasion of privacy while making sure the app is convenient and user friendly. Another challenge is the aesthetic of the interface, making sure that everyone can use it, no matter what the circumstances are.
Accomplishments that we're proud of
We are proud of how well our design for the app is for the time constraints we had. We are beginner programmers and this is our first hackathon so we are also proud of how well we know our code, even though it is not complete, we have a good understanding of how it works.
What we learned
Creating an app takes a long time, definitely one person can not make it in one day. A group of people and time is required to make a good app. We also learned about geocode and APIs that are needed to create this project.
What's next for VIA
Finish the app- complete the code, UI and test the app. We want to expand this project to be able to visualize a larger area of victims.
Please watch the video through the Zoom link in the link section. The video link provided through YouTube is the unedited version of our video because we were unable to upload our edited version. Thank you!
Built With
figma
java
onenote
Try it out
stevens.zoom.us
github.com | VIA | LifeAlert for everyone | ['Serena Lee', 'Mya Phu', 'Cindy Tran', 'Tamnhu Nguyen'] | [] | ['figma', 'java', 'onenote'] | 6 |
10,439 | https://devpost.com/software/sasehack-team-stay-positive | Concept Map of Final Product
Inspiration
Ohio State's Covid Health Data Reporting System, which we think is kinda trash.
What it does
It's like a social media platform, but for contact tracing. It lets users put in covid testing information as well as recent locations, allowing for some contact tracing. There are incentives for reporting location, like skins for the app. It's very cute!!
How we built it
We looked up tutorials on the web because none of us are really that skilled at app development. We had one gal do some concept art, and someone else made a logo.
Challenges we ran into
We can't really code, so that was a challenge, especially for time/making a very detailed app.
Accomplishments that we're proud of
We are very proud of the logo and getting the survey in the app to work.
What we learned
A little bit of JavaScript and GIMP and video editing.
What's next for SASEHACK Team Stay Positive
MAXINE - HACKOHI/O! This was my first hackathon
IKRA - studying for exams
LIO - HACKOHI/O!
NORMAN - exams broooooo
NOAH - aw man I dunno? chillin? playin' games?
Built With
javascript
react
Try it out
drive.google.com | SASEHACK Team Stay Positive | Project is a contact tracer | ['Lio Jira', 'Maxine Xu', 'Noah Say', 'Norman Guo', 'Ikra Anwar'] | [] | ['javascript', 'react'] | 7 |
10,439 | https://devpost.com/software/sasehack2020-vzrbml | record
appointment
buy
chatbot
doctor
home
login
Introduction
This app is inspired by the SASEhack theme: "Health Technology". With the current pandemic status, hospitals and clinics are usually packed. Therefore, the purpose of this web app is to help doctors and patients to communicate better.
Challenges
Time limit of the virtual hackathon, so we didn't have chances to work on the back end and database integration of the app
4 of 5 members never had experience with Hackathon or React before, so we spent lots of time researching and studying the basics.
Since it's virtual, we had hard times to help and communicate with each other
What we learn
The most important thing we learned was how to collaborate in a virtual environment under time pressure. This will prepare us better in our college journey and career in the future. Besides that, we also learned how to create a web app solution from scratch.
Built With
api
css
html
javascript
react
Try it out
github.com | COVID Care | A web app solution to help patients during the current pandemic | ['Chau Le', 'Yen Le', 'Oanh Le', 'Augusta Major', 'Dan Nguyen'] | [] | ['api', 'css', 'html', 'javascript', 'react'] | 8 |
10,439 | https://devpost.com/software/been-to-hawaii | The future for Been to Hawaii?
Homepage
When you click on a county
Recent places you have visited
Inspiration
With the rising cases of COVID 19, there should be a easily accessible way for people to track where they have travelled and the risks that they take. An interactive map is the best solution as it is a simple way for users to find their location and save where they have been.
What it does
This app allowed the user to choose a county in Hawaii and save it into their database. With this, they are able to track where they have been and know the local COVID 19 case numbers.
How I built it
We built it using a Framework called Flutter with the language Dart of the IDE VSCode. We used the live sharing feature on VSCode to easily work together on the same project.
Challenges I ran into
We realized that our idea was too broad at first. We had to narrow our idea and be more specific on our location. With this, we were able to add more details to a smaller data set.
Accomplishments that I'm proud of
We are very proud of everything we accomplish as most of us were new to Flutter and app development. Even just getting the map to appear was a great success
What I learned
As a team, we learned how to work together on projects more efficiently and how to divid up work using the different strengths of our teammates. Not only that, we improved upon our programming skills.
What's next for Been to Hawaii?
We plan to add even more states and more information other than just the case numbers. We would also like to add a cloud database that stores information from different users so that there can be better contact tracing.
Built With
dart
flutter
geocoder
google-maps | Been to Hawaii? | Been to Hawaii? With this app, you can track which counties you have visited and be notified of the current COVID 19 cases in the area. | ['Tae Woo Kim', 'Hon Ching Li', 'Adrian Lindell', 'HariOm Dwivedi', 'Sanjo Abraham'] | [] | ['dart', 'flutter', 'geocoder', 'google-maps'] | 9 |
10,439 | https://devpost.com/software/testlocator | Inspiration
Finding testing sites nearest to you can be difficult to navigate. Our site aims to allows users to stay informed about the virus and provide information on COVID-19 testing centers closest to them.
What it does
The site displays testing centers on a map, and allows the user to see which COVID testing sites are closests to them.
How I built it
Challenges I ran into
12 hours was a short time constraint for us.
Accomplishments that I'm proud of
The site is visually pleasing and we are very proud of the testing site locator.
What I learned
How to grind
What's next for testLocator
Adding more detailed live data
Built With
bootstrap
css
html
javascript | testLocator | We are team of talented developers looking to make locating COVID-19 testing centers easier. | ['An Nguyen', 'Nathen Paul', 'Tyler Do', 'Andy Vu'] | [] | ['bootstrap', 'css', 'html', 'javascript'] | 10 |
10,439 | https://devpost.com/software/tranquility-taxzh1 | Home page on the paitent side
Paitient's previous responses with their tone breakdowns shown in a donut chart and doctor's notes
Doctor's home page that shows paitent tone breakdowns and hides paitent responses. They also have the option to send notes
Inspiration
As the COVID stay at home orders near the one year mark, more and more people are experiencing quarantine sickness and depression. We’ve been unable to see friends and family for months on end and that lack of social interaction takes a large toll on anyone’s mental health.
How I built it
Our team used React and Node as the main framework for this project. We chose this route because it was the best way for us to make an interactive and dynamic web app.
Challenges I ran into
We were all very new to building an app from the ground up and it was a learning process even to just get the project set up. We had issues with sending data from the front end to the back end but eventually, after a lot of error testing, we were able to figure it out and get the app working
Accomplishments that I'm proud of
We are very proud that we were able to successfully build a functioning app from scratch incorporate IBM Watson into this project. The use of AI allowed us to reach our goals for the product.
What I learned
We learned a lot about React and how to incorporate APIs, node, and Firebase along with it.
What's next for Tranquility
The next steps for Tranquility is ideally for it to be cleaned up and perfected so that it looks like a more cohesive and professional website. We want it to be actually put to use by doctors and their patients since we're all feeling the quarentine blues and an outlet for you to talk about your emotions is very useful in these times. In addition to that, this technology can save someone's life in the right situations.
Built With
api
express.js
firebase
ibm
node.js
react
scss
Try it out
github.com | Tranquility | An app that uses tone recognition technology to allow paitents to communicate with doctors and psychiatrists about their mental health in a safe, private way during quarentine | ['Allen Zou', 'Jason Kim', 'Han Yong Wunrow', 'Jarrett Fok', 'Kelynn Ma'] | [] | ['api', 'express.js', 'firebase', 'ibm', 'node.js', 'react', 'scss'] | 11 |
10,439 | https://devpost.com/software/away-from-covid | The whole story of our project is a click away!
Link:
https://docs.google.com/presentation/d/137rbDIuwEx4mkTnloc3lxtaTXHMN4brVnsgOBsVPOjQ/edit?usp=sharing
Built With
switch | Away from Covid | Creating awareness of COVID positive people around the app users' location. | ['Shreenidhi A', 'INESH JUPUDY', 'Samudraneel BANERJEE', 'SHASHWAT SOMESH JHA'] | [] | ['switch'] | 12 |
10,439 | https://devpost.com/software/corona-hub-wp7tfb | Inspiration
Given the struggles we are facing globally, we wanted to create a resource for people to learn about the pandemic as well as a place to look at the visualization of current statistics.
What it does
Our site currently provides information about coronavirus as well as additional resources on the impact of the pandemic.
How I built it
The moving images in the background using HTML5 canvas by converting latitude and longitude to rectangular coordinates. The "about us" and "resources" page were researched and written and then the pages were linked together.
Challenges I ran into
Some challenges we ran into were converting latitude and longitude to rectangular coordinates to generate the background image of the home pages, as well as creating a surface rather than separated dots. Some of our group members were also new to the html environment although they caught up quickly and helped.
Accomplishments that we are proud of
We are proud to be able to get the series of moving dots working, create a somewhat aesthetically pleasing home page. We are also proud that we were able to get things done giving the group's limited js, html, and css knowledge.
What I learned
We learned methods of rendering 3D images on the 2D canvas and a lot about how canvas works in general. Some members also learned html,js, and css.
What's next for Corona Hub
We hope to add more information as the pandemic progresses and stylize the site further. Given more time, we would have liked to use the globe on the main page to visualize the impact of coronavirus across multiple countries pulling data from the COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University.
Built With
canvas
css3
html5
javascript | Corona Hub | A site to tackle misinformation regarding coronavirus. | ['Anurag Arasan', 'Min Jung You', 'Karen Zhu', 'Edward Fu', 'Ethan-txt Assouline'] | [] | ['canvas', 'css3', 'html5', 'javascript'] | 13 |
10,439 | https://devpost.com/software/mindfriend | Inspiration
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for 2
A
Built With
appy-pie | 2 | failed project | ['Devin Han', 'Justin Li'] | [] | ['appy-pie'] | 14 |
10,439 | https://devpost.com/software/share2care-f97ukg | Inspiration
Share2Care’s inspiration came from wanting to spread mental health virtual health care.
What it does
It's a virtual platform which makes psychiatrist, licensed therapy, mental care patients, pharmacist, metal tools for patient everything landed on one web site.
How I built it
We build with HTML5 and JavaScript on the front end
Challenges I ran into
Our team ran into complications with time commitment so we lost and gained members along the way. This was our first time working together and our remain core group members were challenged with picking up abandoned pieces to complete our overall project.
Accomplishments that I'm proud of
We are proud of our ability to complete our submission within the short timeframe and overcoming hiccups along the way.
What I learned
Communication is key. We had to communicate with each other effectively and ask questions to clarify processes to make sure our team was on the same page.
What's next for Share2Care
Next for Share2Care would be wanted to build a web site using machine learning data
Built With
figma
html5
javascript
Try it out
github.com
share2care-1.sjj3.repl.co | Share2Care | Provide mental health community to virtual tools to ease their anxiety! | ['Sally Jain', 'Amanda Hoang', 'Wilder Reyes'] | [] | ['figma', 'html5', 'javascript'] | 15 |
10,439 | https://devpost.com/software/quaranteam-ot0gya | The team was inspired by the current pandemic and wanted to focus on that idea. Our team was very self-motivated and experienced and enjoy doing challenging problems. The team is from different corners of the United States and was very engaged and excited by working with each other and learning from each other. We learned about how to use react, GitHub, and flask. We also learned a lot about teamwork and communicating with one another. We built the program using python, javascript, and HTML and combined them onto one platform. Some of the challenges we faced were trying to show the statistics of the COVID quiz and trying to show the hot zones by zip code. At the end of the day, the team learned a lot and had a great day participating in this unique challenge. #VirtualHackathon #Teamwork#QuaranTeam
Built With
css
flask
github
html
javascript
python
react
stack
Try it out
github.com | QuaranTeam | Our targeted audience are the people who want to stay informed about COVID and want to help prevent from COVID spreading. Our Website/app focuses on easy access and privacy. | ['nathanielbd B', 'snguyen740 Nguyen', 'Nishith Shah', 'Johnny Ni', 'Prekshya Nepal'] | [] | ['css', 'flask', 'github', 'html', 'javascript', 'python', 'react', 'stack'] | 16 |
10,439 | https://devpost.com/software/health-app-app | NPE's program for SASEHacks 2020
Authors: Nathan, Roland, Cornell, and Dimitri
HOW TO IMPORT xlwt & xlutils
Search up Python and open File Location
Right click on already highlighted file
Click on "Open File Location"
Right click on location bar
Click on "Copy address"
Open Command Prompt as Administrator
Type "cd" + " " + (copied address)
Type and press enter "pip install xlwt"
Type and press enter "pip install xlutils"
Built With
python
Try it out
github.com | Health App App | With our program, the patron can avoid wasting time waiting in tedious phone calls while also offering simplified appointment scheduling for hospitals as well! | ['Cornell Tran', 'Dimitri Duron', 'Roland Salvador', 'Nathan Pennington'] | [] | ['python'] | 17 |
10,439 | https://devpost.com/software/mental-health-discord-bot | Message Screening
Hotline Access
Censorship
Encouragement
General Features
Inspiration
Discord is a messaging application similar to Slack that has gained extreme popularity among Gen Z. It's ability to create special group chats called servers that have additional functionality such as support for bots has contributed to its success. The members of our team can attest that discord has become a part of our daily lives. It is used to communicate with friends, classes, clubs, and more.
What it does
Our project is a bot that can be added to discord servers that can help address mental health concerns. Our project will impact discord users and make the platform a safer place.
Features
Message Screening:
Screen all messages sent within the server for keywords relating to suicide. If a message is detected, the bot responds with the suicide prevention hotline.
Hotline Access:
Access information about a specific hotline by putting the command prefix "." before the name of the hotline. ex) .eating or .dating
Censorship:
Free speech is a right. That said, there are some words society has deemed to be unacceptable to use in certain contexts. Warnings are given to users who use such language.
Encouragement:
The command .encourage gives positive affirmations to keep you going and staying positive!
General Features:
.help gives a list of all commands and .ping returns the ping of the bot
What We learned
How to use the Discord API.
What's next for Mental Health Discord Bot
More commands and more functionality coming soon. Our bot makes the present and the future a kinder place by discouraging negativity and giving help to those who need it. As such, we are committed to extending our project's functionality.
Built With
discord-api
python
Try it out
github.com | Mental Health Discord Bot | Give server members the tools to fight back with access to hotlines and custom functionality geared towards mental health | ['Dhruv Batra', 'Justin C', 'Kevin Chen'] | ['Greatest Community Impact'] | ['discord-api', 'python'] | 18 |
10,439 | https://devpost.com/software/medizin | Under Construction
Built With
bootstrap
classification-models
convolutional-neural-networks
css
deep-learning
django
html
javascript
machine-learning
numpy
pandas
relative-templating
sqlite
tensorflow | HEALER | The Power to Heal | ['Hariharan R S', 'Nikita Anand', 'Sreenitya Mandava'] | [] | ['bootstrap', 'classification-models', 'convolutional-neural-networks', 'css', 'deep-learning', 'django', 'html', 'javascript', 'machine-learning', 'numpy', 'pandas', 'relative-templating', 'sqlite', 'tensorflow'] | 19 |
10,440 | https://devpost.com/software/national-sanitary-pad-policy | in Kibera mentoring young girls
at kibera with student leaders
at samburu,Laikipia north
in samburu with student leaders mentoring young girls
at Ngei primary school,langata
design of reusable pad
sample of reusable pad prototype
design of reusable pad
at kibera,Makina ward
at kangemi with NGAAF team
what inspired me is the drastic increase in teenage pregnancies. In the recent months from a survey done by the Kenya Health Information Management System (KHIS) with the most affected being vulnerable girls and women with disabilities and those from low income households. When interviewed, many of the girls aged between 10-19 years confessed to engaging in premarital sex due to lack of necessities, negligence and mentor ship.In a few instances girls committed suicide due to menstrual shaming .This proposed campaign will run for 2 years,which is the estimate period of the subsidence of the covid-19 pandemic.The campaign will reduce the rate of teenage pregnancies,crime rate,suicide rates,poverty rate,unemployment rate and help the government in curbing the spread of the pandemic and the recovery of the economy.
young girls aged between 10-18 years receive free sanitary products from the government.through the already existing protocols such as the nyumba kumi ,chiefs and headteachers.The products which include sanitary towels are reusable in nature which makes them long lasting,discrete to prevent period shaming,and durable to last for a long period.
The sanitary pads are made using tailor machines.the materials used include cotton,bamboo,and other natural fabrics. the sanitary kit will include a transport bag,a pair of knickers,sexual and reproductive health handbook,soap,eight liners,two shields made from two pieces of cotton(with moisture-barrier fabric between to prevent leaks) and wings that fold around the knickers.most of the vulnerable girls cannot afford to purchase the knickers and that why the kit includes Which means there is little to no use of plastics thus conserving the environment.moreover, more youth will be employed,in the manufacturing process.
lack of enough resources to manufacturer the product,is among the challenges faced in the implementation of this campaign.it costs Ksh500 to make a reusable pad,but with mass production and government intervention,with the help of local manufacturers,the cost can be reduced by almost 50%
I'm proud of being able to mobilize and donate free sanitary products in the country with the help of government,NGOs and various youth organizations.
i have learned that teamwork,dedication,proper management,and enough resources is necessary in the implementation of various projects
What's next for NATIONAL SANITARY PAD POLICY to help reduce the cases of teenage pregnancies,suicide rates,while creating job opportunities for the youth in the country.
Try it out
citizentv.co.ke | NATIONAL SANITARY PAD POLICY | Save a girl with a pad | ['Naomi Ngatia'] | [] | [] | 0 |
10,440 | https://devpost.com/software/ntaka-briquettes-charcoal | Our storage for raw materials and ready products
Raw materials from wood waste(sawdust)
Process involved in the charcoal briquettes making
The research on the viability of the raw materials
Prototype of Charcoal briquettes
Sample of our products ready for market
Inspiration
Being an environmentalist I have been on the verge to save our planet from heaps of waste. Creation of employment to fellow youths is a great inspiration to purse the venture.
What it does
This is a renewable source of fuel energy that can be utilized both commercial and domestic, locally and internationally.
The project will also be able to offer waste collection and disposal services.
How I built it
I have done several research towards waste management and also worked in the sector for three years. From this point I have understood that some of us need to embrace little projects to help the government in saving our environment and neighborhoods spaces.
During the end of 2019 I was able to get some funding that enable me create a prototype and also test the feasibility of the product and waste collection services.
Challenges I ran into
Developing the business plan, capital to launch and operate the venture effectively. Marketing of the business has been limited by little resources to advertise the products to potential customers.
Accomplishments that I'm proud of
The Vihiga Waste management model, is one of my greatest inventions in incorporating modern ways of management.
I have been able to implement organic fertilizer creation from municipal waste which has been of great help to local farming.
Coming up with a comprehensive business plan for the venture.
What I learned
For one to be able to venture into business, you must consider having few aspects to cover hence enables reinventing and improvements on the service/product.
Creation of an effective waste management model will engage more youths into employment hence acquiring a source of livelihood.
What's next for Ntaka Briquettes Charcoal
During this covid 19 pandemic I have been lobbying for investors to come on board so as to help realise the dream of having sustainable fuel energy products.
I have gained knowledge on the ebusiness which will aid into catapulting Ntaka to the online market interface. | Ntaka Charcoal Briquettes | Sustainable energy to improve life | ['jon muruka'] | [] | [] | 1 |
10,440 | https://devpost.com/software/share-to-inspire-4sbec2 | Inspiration
Recently, the Health Cabinet Secretary Mutahi Kagwe released a report about mental health in our nation. From the report, there has been a steady increase in suicidal cases, family conflicts, murder cases among others. This has been due to increase in mental health disorders such as depression, anxiety and substance abuse among the people. These have been my greatest Inspiration to start Share to Inspire since I wanted to come up with a unique program which can help in curbing these challenges by motivating and giving people hope despite the hard challenges they encounter in life.
What it does
Share to Inspire creates a platform for people to share stories and and encounters as mentioned earlier. The program entails creation of a website and development of a mobile app. Through the app or the website, people will be able to create their own blog pages where they can type these stories and share. Due to privacy issues, the blog pages will have an option for people to do everything anonymously. The stories will then be available in the website and a snippet will be shared to "Share to Inspire" social media platforms hence guiding more people to visit the website and read the whole story or encounter.
The program will also consist of virtual social talks through social media, webinars, podcasts and other medial platforms.Through these social talks, people will have a chance to get live experience as some of the people share their motivational stories. The virtual talks will also consist of popular people in different fields of career who will also share about their challenges and success story hence this will help put more impact on the program.
Once the Covid-19 is fully controlled, social talks shall be held physically in different locations hence increasing the engagement level among people.
Finally, the program will open a platform for those people who feel that they need to open up in order to get help by being connected with personal mentors and counselors who they can privately talk to and share their challenges.
How I built it
I started building my project by coming up with a segment under my foundation, Bariki Foundation, which is a youth charity group I started in April Last year. Being a general charity group, I wanted to do something specific which will help in identifying the foundation better. From my research on the most common and rising challenges facing our nation, I settled on Mental Health disorders and hence decided to come up with Share to Inspire in order to help in curbing the menace which has really affected many people.
Challenges I ran into
Setting up a fully functional website and development of an app have been my greatest challenges since they are a bit expensive. I also enough capital to acquire equipment such as cameras, microphones among others that can be used in virtual talks such podcasts.
Accomplishments that I'm proud of
So far I have been able to reach out to many people both popular and unpopular and many are willing to open up and help in giving someone hope but sharing what they have encountered in life. In fact, they are just waiting for the whole program to be ready.
Another achievement is that due to my whole Idea, one person has volunteered to a web design for the program and that has really motivated me.
What I learned
I learned that despite many assumptions about things not working out, It is really important to try what you think is important even if you don't know about tomorrow.
I also learned that we should never assume that people are okay especially when they seem happy or contented. Many people nurse many bruises and problems behind the beautiful smiles. It is always important to reach out to people.
What's next for Share to Inspire
My dream is to see Share to Inspire mentor and motivate many people out there who had lost hope and were at the elm of giving up.
I also look forward to the program becoming the biggest mental health problem solver in our nation. | Share to Inspire | Share to Inspire will provide a platform for people to open up and share their stories and encounters in life to the world. This will help in reducing suicidal cases caused by depression and anxiety. | ['Mark Mwalimu'] | [] | [] | 2 |
10,440 | https://devpost.com/software/nywele-nyumbani | Inspiration
The hassle of women travelling long distances, such as from Thika to Umoja just to have their hair done. For the stylists, not getting full pay while working at a salon.
What it does
It allows customers to get salon services from their home
How we built it
We built a web and mobile application
Challenges we ran into
Changing the mindset of the older generation. Finance
Accomplishments that we're proud of
An article by UNDP, Winning social media awards at the JKUAT Tech Expo,being among the KONZA city Hack-athon finalists
What we learned
There is always room for making the clients' and stylists' experience better
What's next for Nywele Nyumbani
Expanding out of Nairobi to other counties
Built With
flutter
python
Try it out
nywelenyumbani.surge.sh | Nywele Nyumbani | Bringing beauty home. | ['ELABONGA ATUO'] | [] | ['flutter', 'python'] | 3 |
10,440 | https://devpost.com/software/ufanisi-clean-energy-and-study-lighting-for-school-children-k6mjv5 |
window.fbAsyncInit = function() {
FB.init({
appId : 115745995110194,
xfbml : true,
version : 'v3.3'
});
// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
function() {
$('[data-slick]').slick("setPosition")
}, 2500
)
}
});
};
(function (d, s, id) {
var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
js = d.createElement(s);
js.id = id;
js.src = "https://connect.facebook.net/en_US/sdk.js";
fjs.parentNode.insertBefore(js, fjs);
}(document, 'script', 'facebook-jssdk'));
Price List of our products
Leaflet of our products
Co-Founders
1kw Power Bank
2 KW power bank
Inspiration
Since schools closed in Kenya, due to COVID-19, the ministry of education and other agencies have indicated that learners should undertake online learning or technology-mediated learning on TV, radio, ed-tech apps, and mobile phones. While such learning may take place in some urban areas, for many marginalized children in slums and rural, COVID-19 school closures are a deep challenge. Learning mediated through ed-tech remains out of reach for many disadvantaged children due to power challenges. In slums and most rural areas, for example, electricity does not reach households, excluding children from online learning.
We champion high quality, affordable, clean lighting, and power solution to enable children in poor rural and urban slums to study at home during and after Corona-pandemic.
FREQUENT POWER OUTAGES; The Kenya Power and Lighting Company, a government corporation, owns and operates most of the electricity transmission and distribution systems in the country and sells electricity to over 5.9 million customers (KPLC 2017). Thus, with over 5.9 million households and businesses relying on KPLC as a major source of electricity, frequent power blackouts have been catastrophic disruptions to the businesses and household power consumers that must be addressed.
LACK OF AFFORDABLE SOLAR POWER SOLUTION IN RURAL KENYA - According to Innovation and Renewable Electrification in Kenya, there are only 320,000 rural households with solar power connections amounting to only 4.4% of all rural household in Kenya. The UNEP (Kenya: Integrated assessment of the Energy Policy) cites that more than 83 percent of Kenyan rural population use firewood and kerosene for lighting.
What it does
The Ufanisi Back-up is an innovative power unit that introduces the unique concept of low-cost power backing systems running both on mains and solar power and employing locally available components to create an effective power backup system that conveniently addresses the problem of lack of clean affordable power and frequent power outages.
Our unique value propositions;
Superior Quality - Hand Fabrication. Our product is hand fabricated ensuring high-quality parts are well installed as opposed to automated soldering of surface mount onboard electronic components.
Much Higher Power at Lower Cost.
The Ufanisi backup uses high capacity and high quality yet low-cost lead-acid batteries for power storage ranging from 84 watts to 4500 watts while competing products use low power expensive lithium-ion batteries of 6 to 22 watts at most.
Dual Power Operation
Ufanisi products can be powered by either solar or mains, this enables people without the mains power to obtain clean free energy. This also enables people with mains connection to avoid blackouts and the cost of the purchasing and installing solar panels or expensive power generators.
Pay as you go system - This will help parents afford the system as will not need upfront payment of the whole price.
How we built it
The ufanisi backup comprises of a smart battery charging control circuitry fabricated from the microcontroller module. The unit is automated by the use of a changeover system that senses both light and dark or absence or presence of electricity to either turn on or off as appropriate. The product stores electric charge in high efficient self-servicing power batteries and all the components are housed in the strong fabricated housing unit.
Challenges we ran into
Illegal Copying of Technology Innovation - Our product innovation stands the risk of being copied by competitors, this may deny our business the competitive edge we possess from our research.
Lack of capital for mass production and mass marketing of the product to stimulate demand.
Accomplishments that we're proud of
To years of product sales over 20 units have been sold to customers all over the country,
Admission into SOMO-AFRICA entrepreneurship training program.
What we learned
Since schools closed in Kenya, the ministry of education and other agencies have indicated that learners should undertake online learning or technology-mediated learning on TV, radio, ed-tech apps, and mobile phones. While such learning may take place in urban areas, for many marginalized children in slums, COVID-19 school closures is a deep challenge. Learning mediated through ed-tech remains out of reach for many disadvantaged children due to power challenges. In slums and rural areas, for example, electricity does not reach households, excluding children from online learning.
What's next for UFANISI CLEAN ENERGY AND STUDY LIGHTING FOR SCHOOL CHILDREN
Establishing and equipping 50 units per day production workshop.
Obtaining a patent from KIPI.
Reaching 50,000 needy children with affordable Ufanisi power and lights kits.
Mass marketing to promote the uptake of our product.
Obtaining KEBS certification of quality.
Built With
green-energy
learning
power
solar | UFANISI CLEAN ENERGY AND STUDY LIGHTING FOR SCHOOL CHILDREN | The Ufanisi Power sell low cost clean power banks running both on mains and solar power, to enable children in poor rural and urban slums study at home during and after Corona-pandemic. | ['FRANCIS MBONDO', 'kevin oluoch'] | [] | ['green-energy', 'learning', 'power', 'solar'] | 4 |
10,440 | https://devpost.com/software/sponsor-zi-project-sexual-reproductive-health-education |
window.fbAsyncInit = function() {
FB.init({
appId : 115745995110194,
xfbml : true,
version : 'v3.3'
});
// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
function() {
$('[data-slick]').slick("setPosition")
}, 2500
)
}
});
};
(function (d, s, id) {
var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
js = d.createElement(s);
js.id = id;
js.src = "https://connect.facebook.net/en_US/sdk.js";
fjs.parentNode.insertBefore(js, fjs);
}(document, 'script', 'facebook-jssdk'));
Training for teen girls on Sexual Reproductive Health in Kibera slum
Inspiration
‘A Sponsor’ is a popular word used by teen girls in Kenya to refer to the practice of dating one or more elderly men mostly for money in exchange for sex. Girls from poor families who cannot afford key provisions such sanitary towels are especially more vulnerable as they offer sex in exchange for money
Reports show that most teen girls in Nairobi fall into pregnancies as a result of dating older men, especially motorbike riders. A recent report by African Population and Health Research Centre reports the highest rate ever at 157,434 teen pregnancies between January and May 2020 in Kenya. Nairobi county tops these statistics by staggering 11,734 teen pregnancies in the same three months’ period.
What it does
SPONSOR-ZI! PROJECT (Loosely meaning ‘SPONSOR? NO WAY!’) is a two-pronged behavior change and sexual reproductive health education project that seeks to stem the massively increasing teen pregnancies in Nairobi which have risen sharply after school’s closure due to COVID-19. This will be done through three-pronged approaches comprised of; – Distribution of free anti-sponsor dating practice education magazine dubbed ‘Sponsor-ZI’, Provision of free reusable sanitary towels to vulnerable girls and a comprehensive program for behavior change and SHR education.
SPONSOR-ZI FREE SRH COMIC MAGAZINE - The project seeks to print and distribute 10,000 copies of the comic magazine comprised of sexual reproductive health education information inform of stories, Poems, graphics, trivia games, etc. themed to discourage the practice of dating elder men by teen girls.
PROVISION OF FREE REUSABLE SANITARY TOWELS TO VULNERABLE GIRLS – This will provide an alternative provision for the sanitary towels to stem the reliance on sponsors by then girls thus stem the taking advantage of elder men on poor vulnerable girls.
AGE APPROPRIATE SRH AND BEHAVIOR CHANGE EDUCATION AND COMMUNICATION CLASSES- This will be done through – SRHE classes by trained facilitators, school video shows, Peer educators and SRHE Clubs in Schools – This approach will be used when schools open and will carry in line with COVID-19 guidelines set by the Government.
How we built it
Train and engage 100-part time virtual peer educators and for the distribution of magazines and peer counseling of teens where possible,
Content development design, printing and distribute 1000 copies of anti-sponsor dating practice BCC and SRH educational magazine.
Establish SRH education and support, the magazine to provide vital links to and contacts to various youth-friendly SRHE services in Nairobi.
Bi-weekly virtual SRHE classes in Nairobi slums.
Provide sanitary towels to 5,000 vulnerable girls.
Challenges we ran into
Lack of funds to reaches a significant number of girls in slums with the SRHE program.
Accomplishments that we're proud of
Established digital SHRE channels on social medial
Distribution of sanitary towels to 50 needy girls
Peer classes to 50 girls against dating sponsors
Linkage on 5 girls to SGBV case management centers.
What we learned
What's next for SPONSOR ZI! PROJECT ( SEXUAL REPRODUCTIVE HEALTH EDUCATION )
Partnership for seed funding of SRE magazine - The magazine production will be financially sustained through sponsored advertisements such as school supplies, uniforms, etc. The program will be sustained through continued fundraising from like-minded partners, and through partnership and collaborations for technical support e.g. with the government department of education and ministry of gender.
The increasing number of sanitary towels distributed to cover 5,000 needy girls.
Increase coverage of virtual SRHE coverage to 10,000 girls from slums.
Built With
sexual-reproductive-health-education
teenage-girls
teenage-pregnancies | SPONSOR ZI (VIRTUAL SEXUAL REPRODUCTIVE HEALTH EDUCATION) | To stem skyrocketing teen pregnancies in Nairobi by sensitizing teen girls against a popular practice called ‘Sponsor Dating’ in Kenya where young girls see it as fashionable in in exchange for money. | ['Dennis Mwanzia', 'Johnstone Mutua'] | [] | ['sexual-reproductive-health-education', 'teenage-girls', 'teenage-pregnancies'] | 5 |
10,440 | https://devpost.com/software/kaa-rada | A Life Skills Workshop at Kameji Secondary School before schools were closed due to Covid 19
Inspiration
Dear Friends,
The past few months have been tough for each one of us because of the global Covid-19 pandemic. Much as it has been difficulty for everyone, it has been a lot more harsh and rough for teenage girls in my county Nyamira.
I was recently saddened by local media reports indicating that since the outbreak of Covid-19; at least 2,741 teenage girls in Nyamira County have been impregnated. At the same time, there is a surge of cases of defilement, rape, sexual harassment, FGM and other forms of gender-based violence targeted on teenage girls.
This trend which will curtail the education and life prospects of thousands of teenage girls is gross, grave, and unacceptable.
What it does
Niko Locked is a mobile-phone based advocacy program that will provide life skills education targeting to positively influence behaviour among teenage girls to improve their Sexual and Reproductive Health. Most of the girls in our community are lured to early sexual debut because of a lack of sufficient and appropriate life-skills education. The program will thus empower teenage girls to understand their rights and use the knowledge to ‘say no’ as well as identify and report instances of physical, emotional, and sexual abuse.
The Niko Locked program will also boost confidence and self-esteem among teenage girls to believe in themselves so as to improve their abilities to make informed decisions to abstain from sex until marriage. This will help them focus on their education and follow their dreams so as to bring positive change in the community.
Niko Locked will place mothers at the centre of offering Life Skills Education by inspiring mothers to take proactive roles of teaching girls to abstain and avoid teenage pregnancies. Therefore, the program will empower mothers to increase their capacity in impacting their daughters, nieces or other young girls with life skills that can end teenage pregnancy.
Program participants will be mobilized to register and receive at least 1 daily offline text message (short message service, SMS) over the next 6 months using an automated sustem. Mothers who will register will be encouraged to share their phones with their daughters or allow them access since most teenage girls do not have access to mobile phones. The program will also develop the NikoLocked mobile App to stimulate active program engagement through interactive features such as Q&A (question and answer), essay and picture contests, and integration of a friendly competition with prizes in which program users will collect credits with each interaction.
How I built it
This project is as result of my passion for girls and women empowerment. The prevailing challenges that girls in my community are facing daily fuelled my burning desire to provide a solution.
Through design thinking, I purposed to provide a solution to the problem of teenage pregnancies. I interviewed various stakeholders including teenage girls themselves, mothers, men, medical doctors, social workers, and civil society organizations so as to understand the need. Through the interviews, I gained insights which re-defined the problem of teen pregnancies in ways that I had not seen it before. This informed me to re-design my solution prototype which I tested with the civil society network in Nyamira.
Challenges I ran into
The biggest challenge while prototyping and testing this solution was the inability to travel freely, meet target audiences or organize focus group discussions due to Covid 19 prevention protocols.
Lack of finances to run a wider scale pilot project or conduct an extensive baseline survey or a situational analysis was also a challenge.
Finally, another challenge I encountered was a negative attitude of indifference and apathy among some of the adults in the community who gave blanket condemnation of the younger generation, saying they are irredeemable.
Accomplishments that I'm proud of
In the process of prototyping and testing this solution, I have managed to mobilize a network of civil society organizations implementing projects targeting teenage girls. The civil society organizations are drawn from every Ward of Nyamira County. Through this piloting with the civil society organizations, I have been able to reach and mentor 40 teenage girls. Through the civil society network, I am testing the solution through a fully automated MobileCoach system, which is available as an open-source resource.
What I learned
In the process of testing and prototyping this solution, I realized that the two main reasons why Nyamira County struggles with the problem of teenage pregnancies are because of high rates of poverty and harmful cultural practices. Poverty is a huge driver of teenage pregnancies since the girls are lured and coerced with gifts, food or bodaboda lifts. At the same time, right from childhood, girls are socialized into feeling inferior to boys and staying submissive hence they are denied access to opportunities which can make open doors for a better future which leads to lack of confidence, low self-esteem, and stress, which put the girls at risk of teenage pregnancies.
What's next for Niko Locked
Niko Locked is ready for implementation and growth to scale. | Niko Locked | Ending the Pandemic within a Pandemic: Remotely providing life skills education to end child marriage, sexual exploitation and teenage pregnancy in Nyamira County to help keep girls in school. | ['Susan Onyango'] | [] | [] | 6 |
10,440 | https://devpost.com/software/garbage-light-security-project |
window.fbAsyncInit = function() {
FB.init({
appId : 115745995110194,
xfbml : true,
version : 'v3.3'
});
// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
function() {
$('[data-slick]').slick("setPosition")
}, 2500
)
}
});
};
(function (d, s, id) {
var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
js = d.createElement(s);
js.id = id;
js.src = "https://connect.facebook.net/en_US/sdk.js";
fjs.parentNode.insertBefore(js, fjs);
}(document, 'script', 'facebook-jssdk'));
Future is Now
Inspired by the Clean Environment that was there in "The Garden of Eden".
Environmental sound project providing solutions in Education (Amidst Covid19 Threats), Security ( Kenya as a representative in the UN Security Council), Clean Environmental awareness, 24hours Business Lighted Community, Free High-Speed internet, Solar Powered.
Built it through years of research into the perfect project providing several solutions in one package after leading a community based organization in volunteer cleanup's for More than 5years.
Got challenges in financing the MVP and acquiring a patent as well as finding a scholarship to help me achieve more.
Accomplishments that am proud of is acquiring a patent for the project and being recognized by International organizations
I have learned that nothing is impossible through hardwork and determination.
What's next for Garbage Light Security Project is being able to have this project being embraced in Kenya to help grow our economy to be the best in Africa.
Built With
ai
automatton-instant-answers
clean-power-solaranywhere
cleanenergy
cloud
data
hardware
internet
iot
led
lifi
lighthouse
security
software
solar
wireless-applications-services | Garbage Light Security Project | Clean, Bright, Secure | ['Eddy Gitonga'] | [] | ['ai', 'automatton-instant-answers', 'clean-power-solaranywhere', 'cleanenergy', 'cloud', 'data', 'hardware', 'internet', 'iot', 'led', 'lifi', 'lighthouse', 'security', 'software', 'solar', 'wireless-applications-services'] | 7 |
10,440 | https://devpost.com/software/morineut-ventures |
window.fbAsyncInit = function() {
FB.init({
appId : 115745995110194,
xfbml : true,
version : 'v3.3'
});
// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
function() {
$('[data-slick]').slick("setPosition")
}, 2500
)
}
});
};
(function (d, s, id) {
var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
js = d.createElement(s);
js.id = id;
js.src = "https://connect.facebook.net/en_US/sdk.js";
fjs.parentNode.insertBefore(js, fjs);
}(document, 'script', 'facebook-jssdk'));
Our products
Our products
Our products
Health Benefits of moringa
Nutritional Benefits of Moringa
Inspiration
Working at a clinic in Kibera in the nutrition department, I was shocked by a large number of malnutrition cases and non-communicable diseases reported. Reports by the medical records team pointed at affordability, animal protein allergy, and lack of access to drug supplements sold at clinics.
What it does
Morinuet Ventures seeks to champion healthy feeding habits to stem Malnutrition, weight issues, and the management of Noncommunicable diseases. Thus a fast number of people are not able to feed consistently and the right amount of fruits and vegetables. Thus the business enjoys the benefit of unmet demand of health-conscious people, the affected, and those at risk of NCDs.
Compared to other sources of nutrients, the Moringa plant is a natural health product with almost all nutrients; Research by South Africa Agri-Research Center shows Moringa has 7 times the vitamin C of Orange, 10 times the vitamin A of Carrots, 17 times the calcium of milk, 15 times the potassium of a banana and 25 times the iron of spinach. Its consumption boosts the immune system thus maintaining a healthy immune system enabling our bodies to stave off infections and illnesses including COVID 19.
The prevalence of NCDs and dietary issues has been on the increase in recent years as food markets become flooded with processed and junk foods.
Child Malnutrition; According to the KNBS 1.82M children aged less than 5 years in developing countries suffering from, is chronic malnutrition.
High Prevalence of Preventable Non Communicable Diseases. - Kenya has a high prevalence of NCDs because they mostly have poor healthy diets. Most foods are high in sugar, salt, and saturated or trans fats, as well as many processed preservatives and ingredients. Fast foods are also very low in beneficial nutrients.
III. Underweight weight and obesity - According to KNBS -2009, 47% of women in Nairobi are obese while 57% of men are underweight.
How we built it
Our company's main business is adding value to natural Moringa powder through by addition of permitted flavors and safe colorings. The products are baby porridge, Moringa honey, Nutri-pack additives, and fortified flour which are all healthy and have high nutritional and medicinally benefits. Extracts from the Moringa tree is rich in the fibers typically found in fruits and cereals. A high fiber diet reduces fat absorption into the gut and burns it off, rather than storing it. Moringa provides nutrients vital for health and for the maintenance of the body because it is low fat and has low calories.
Our Value Chain Process
Stage one: Training and supporting farmers in growing and harvesting quality Moringa in lower eastern Kenya.
Stage two; Buying raw Moringa from the selected farmers - Purchase of raw Moringa from farmers we plan to supplement the purchase of moringa from farmers by the company's own farm.
Stage three: Washing and Drying the Moringa leaves - green Moringa leaves are washed dried in a special a drier of the direct sun to conserve nutrients.
Stage four: Formulation and Packaging - this is the important stage where the Moringa leaves are ground into powder form and undergoes a series of patented value addition processes to make our final products. We package under hygienic and healthy conditions as well as doing branding by the use of attractive labels with nutritional information.
Stage five: Selling finished products to customers - The final products are made available to our esteemed customers through retail shops, chemists, pharmaceuticals, and trade stands. We also sell the products online.
Challenges we ran into
Lack of enough capital for mass production and sell Moringa production.
Little knowledge about Moringa and its nutritional and health benefits.
Lack of proper packaging and branding of products.
Low quality of Moringa supplied by farmers due to lack of proper production training.
Lack of funds to process KEBS and public health certification.
Accomplishments that we're proud of
Capacity building of 5 farmers in Moringa growing
We have a network of 30 farmers for an adequate supply of raw Moringa.
Registered company for Moringa value addition.
Purchase some tools for processing Moringa into products
Developed four main Moringa products – Moringa slime tea, Moringa nutria pack, and Moringa baby formula, and Moringa immune booster pack.
What we learned
There is a generally increasing demand for healthy foods in Kenya in the area.
Moringa in indeed and a superfood with numerous medicinal advantages.
A massive health promotion campaign is needed to educate people in Kenya on the many health benefits of Moringa.
Farmers training and support is vital to help the grown high-quality Moringa and generate revenue
What's next for Morineut ventures
Reach 20,000 maltreated children from Kenya slums with affordable moringa supplements in the year.
Provide moringa healthy food to 10,000 people with NCD in the year.
Obtain public health and KEBS quality certification.
Capacity builds training for 50 farmers in organic moringa growing in the year.
Establish a 20 tonne per year capacity value addition micro facility for raw Moringa in the year.
Partner with KIRDI to develop 10 different natural flavors.
Have 1 processing plant - 500 Moringa tablets and capsules per day.
plant 1000 shoots of Moringa trees to cut costs in 3 years.
Develop 2 new products e.g Moringa seed cooking oil in the year.
To create job opportunities for 10 young mothers as product ambassadors.
Built With
low-income-people
moringa
naturalsuppliments
nutrition
superfoods
valueaddition | VALUE ADDITION OF MORINGA NATURAL SUPPLEMENT AND SUPER FOOD | We undertake value addition for Moringa the most nutrition packed plant in the world to help address nutrition and health need of low in come people through natural supplements and super foods. | ['purity matara'] | [] | ['low-income-people', 'moringa', 'naturalsuppliments', 'nutrition', 'superfoods', 'valueaddition'] | 8 |
10,440 | https://devpost.com/software/early-grade-literacy-activity-tusome-hc27de | figure 1.
Inspiration
To make education accessible by Early grand learners during and after COVID 19.
What it does
It ensures that all learners in grade 1,2 and 3 access Tusome education while at home during this Covid 19 situation and after.
How we built it
Using Tusome script and Bungoma Youth Bunge cbf project script.
Challenges we ran into
To mobilize the team mates.
To identify the partners.
Accomplishments that we're proud of
The project is going to be implementedat Bumula region, Bungoma county by cbf Bungoma Youth Bunge under RTI and Education ministry.
What we learned
Education is vital in the development of the country and therefore we should educate the young generation.
What's next for EARLY GRADE LITERACY ACTIVITY-TUSOME
To empower and transform younger generation to be self- reliant, independent and key players in the development of their communities.
To empower younger people to increase their civic participation and utilize their skills to achieve social and economic opportunities.
To implement Early Grade Literacy Activity-Tusome in the whole country.
Built With
cbf
oxford-english-dictionary
youtube | EARLY GRADE LITERACY ACTIVITY-TUSOME | TO IMPROVE LITERACY LEVELS FOR GRADE 1, 2 AND 3 PUPILS WHILE AT HOME AND SCHOOL. | ['John Wambisi'] | [] | ['cbf', 'oxford-english-dictionary', 'youtube'] | 9 |
10,440 | https://devpost.com/software/paskalink-u0y9bn | Paskalink
Inspiration
After losing my job in June 2020,like many other Kenyans,I was forced to go back to the drawing board.Empath drove me to look for solutions that can solve the challenges we are facing as a generation.# What it does
How I built it
The project entails creation of websites in economic clusters.The websites shall be linked to official WhatsApp and other social media platforms in the economic sub clusters.One will be able to access market Information from both the websites and the social media platforms.
Regular modifications will be done for users convenience.
Challenges I ran into
Fear of changes,rejection and lack of interest by members of the community.
Accomplishments that I'm proud of
Am currently working on a website for online marketing(Paskamall)that, hopefully, will be operational by 15 August 2020.I have also created several WhatsApp groups to monitor and evaluate the project.
What I learned
Change is inevitable and information is power.
What's next for Paskalink
Involve stakeholders and partners to actualise the idea.Working together with social institution
and Civic education on the benefits of the whole idea.
Try it out
paskamall.range.co.ke | Paskalink | The idea behind paskalink is connecting people digitally, through websites and social media platforms,to enhance E Commerce. | ['Pascal Wambua'] | [] | [] | 10 |
10,440 | https://devpost.com/software/water-for-rural-dwellers | Illustration of project processes.
Inspiration
Globally, 780 million people lack access to safe water and it's approximated that 41% of Kenyans lack access to basic water services. Rural areas have vulnerable communities affected by lack of clean water and sanitation. If there is no water to wash hands, the infection finds home easily and people die since the health system cannot handle this. There is a massive sanitation gap.
From research done, it is evident that the provision of safe water, proper sanitation, and hygienic conditions are key in preventing human-to-human transmission of infectious diseases such as COVID-19. COVID-19 is transmitted through respiratory droplets or contact. Contact transmission occurs when one touches a contaminated surface and touches either their nose, mouth or eyes, indirect transmission occurs when the virus is transferred from one surface to another through contaminated hands. Due to these modes of transmission, hand hygiene is very important in preventing the spread of the virus. The above statistics and facts were the inspiration behind Maji Mashinani. Maji Mashinani is submitted under the Environment and Energy theme.
What it does
How it works is that a borehole site is located, then the borehole is drilled and a solar pumping system is installed. The solar water pumping system pumps water to storage tanks and the water goes through treatment processes to ensure it’s clean and safe water. The water is then distributed to communities through piping, water bowsers, and water kiosks.
How we built it
There are a number of steps vital to see the project through. They are, but not limited to:
1.Community awareness and involvement. The community is involved in all the phases of the project, from conception and in building and implementation, and after successful project completion, the community is also involved in the control and monitoring of the project.
Identification of existing and new water sources. There is a need to identify well, rivers, springs, and any other taps or boreholes that were once in use but are currently broken down. Successful identification of these sources would lead to economic project implementation.
Water sampling and analysis. Analysis of the proposed water sources would be done through carefully identified samples. And after successful project implementation, simple water testing kits would be made available that can also be utilized by community members to monitor their own water post-COVID-19. This will help them to also have a responsibility to protect water resources against any form of pollution or vandalization of the already existing infrastructure.
Water treatment. Treatment methods would include sedimentation, filtration, chlorination, and solar water disinfection, depending on the various identified sources and test results.
Water storage and distribution. Use of storage tanks. A provision for a gravity-fed system (elevated tanks) to be provided. Piping of water to areas nearby and provision for alternative transportation mode for areas further from the water source e.g the use of the water Bowsers.
Control and monitoring of water storage systems and facilities. This will involve the provision of security for the various installed water systems and training nominated residents on system control and maintenance. For purposes of ownership and sustainability of the project, communities should take full responsibility.
Provision of hygiene products and other related safety products. This will have to be done as part of raising awareness of the need for continued proper sanitation practices.
Challenges we ran into
Our major challenge has been the lack of funds to implement the project.
Accomplishments that we're proud of
Being that we have not yet implemented the project, our accomplishments are:
We have been able to bring together our ideas into a feasible project.
We have come up with logistics on how to conduct the project and a budget of how much it would cost us to implement the project.
We have laid down plans on how we would want the project to run.
What we learned
We learned the importance of teamwork. Teamwork makes the dream work.
We also learned that the problem we want to solve is bigger than what we anticipated and more still needs to be done.
What's next for Maji Mashinani
The next step for Maji Mashinani is the raising of funds to implement the project.
Built With
borehole
distribution-channels
hardware
solar-pumping-system
water-supply-hardware
water-tanks
water-treatment-system | Maji Mashinani | We are providing clean and safe water to households in Isinya through treated borehole water supply and distribution to help curb the spread of COVID-19. Proper sanitation is key in fighting COVID-19. | ['Sylvia Nyaga', 'Willie Karugi', 'sharon simiyu'] | [] | ['borehole', 'distribution-channels', 'hardware', 'solar-pumping-system', 'water-supply-hardware', 'water-tanks', 'water-treatment-system'] | 11 |
10,440 | https://devpost.com/software/expan-ussd | Inspiration
It is necessitated by the current Covid 19 pandemic where the government has put in place measures/guidelines that require PSVs to have a manifest of their passengers for easier contact tracing, in the event of a positive case being identified among the passengers.
What it does
This project aims at creating a solution that addresses that by:
Passenger msisdn as a reliable contact detail
Saving time in the collection of customer details
Digital storage of the manifest in the cloud
Easy acces to the manifest i.e downloadable pdf
Usage
Dial *483*129# on your phone. Enjoy!!
How I built it
As it currently is it's built over a two week period from design to working concept. Designing the interfaces with figma was the best decision I made since I had a lot of ease in coming up with github issues and developing at a fast pace with clear goal in mind
Challenges I ran into
Connecting services in the cloud e.g database, redis memory store, running container,networking
Working with docker and successful deployment
USSD set up. My first time working with USSD
Handling user session and proper routing during USSD use
Accomplishments that I'm proud of
Handling a user session from start to finish
Dialing USSD code and seeing it working
What I learned
Importance of the design phase
Reading product documentation is important
What's next for Expan USSD
Trying a simple trial run / proof of concept with a local Sacco in town
Built With
docker
flask
google-cloud-run
google-cloud-sql
postgresql
python
redis
Try it out
www.figma.com
www.figma.com | Expan USSD | Fast, Easy and Reliable way of Sharing and consequent Digital Storage of passenger details for use in contact tracing | ['Charles Muchogo'] | [] | ['docker', 'flask', 'google-cloud-run', 'google-cloud-sql', 'postgresql', 'python', 'redis'] | 12 |
10,440 | https://devpost.com/software/mi-mkarimu-initiative | Inspiration
For long I sat and watched as many families languish in serious pangs of hunger and famine, with little or no meal at all. Whenever I watched the news, trails of hunger stricken Kenyans was the order of the day. Terrifying images of emaciated babies and adults gave me no peace.
I said to myself that something must be done, and very urgently or else we are heading for a bumpy ride.
But before I could finalise plans then behold Corona Virus pandemic paid our mortuary fee in an already dying society in hunger. These is what pushed me to come up with these idea.
What it does
First of all I always believe that we cannot help everyone but everyone can help someone. I also believe that food is always available but the problem is equal distribution, since we have three groups of people in the society, the rich, the middle rich and the poor. The rich usually have enough to spill, the middle rich have enough some to even store but the poor are not guaranteed of their meal.
So I asked myself a question that why should someone have ten bags of food in his store while there is someone somewhere sleeping hungry?
Kenya's are one, full of love and unity, our foundation. Kenyans are always willing to support each other but what brings these gap now?
You realize that at the moment those who are sleeping hungry are just imaginary, you don't know where they live and probably they have not shared their situation.
The platforms that are currently available are so slow and inadequate to save the most vulnerable in the society, they have a long process that detours the poor from accessing help.
That the current platforms have been ripped by waves of corruption that has deprived help from the needy.
That the current platforms have not offered enough chances to those who are willing to support the most vulnerable in the society by making the process simple to an extend that even the poor can support the other poor, with whatever they have in excess.
These platform will ensure that everyone gets a chance to contribute anything according to their ability to help.
It also ensures that the needy can be able to give a notification of their meal status on that day and request for help from anywhere in the country, then the teams will direct a food delivery to that family through registered volunteer either trucks or bodaboda riders and that family gets a meal.
How I built it
Using a simple SMS platform, an app for smartphones and direct visit to the nearest Mi - Mkarimu Shop a needy person is able to log into the free SMS service and following few steps and answering some question the person will be sent a confirmation message of approval of delivery of food.
Those with smartphones can download an app that will ask them same questions then review those questions to determine if that person is eligible for food pack delivery.
Remember these service will be provided to the most vulnerable in the society those who lack a meal, and the meal provided will be a two days meal then the needy will have to wait for another 1week for another chance so as to give chance to others, these might change according to the donations response.
Voluntary Mi - Mkarimu Shops will be registered country wide to serve as delivery points for food packs so in case someone wants to donate food in a certain town you just take it to that shop or request one of the volunteers transporters to pick it. if someone from that village wants food he or she will be directed to that shop with a confirmation message of approval of food.
Challenges I ran into
The challenges I ran into are like developing that platform requires expertise and connection with one of the mobile network providers
Creating awareness to the society of the existence of such a platform and donations comes with a cost.
Accomplishments that I'm proud of
Am proud that I have submitted my idea and project to these National platform where I believe of great potential to realize my dream of a hunger free nation.
What I learned
I have learnt never to dispair in whatever idea and always seek solution to better humanity because it pays and brings great joy to see someone's life changed or saved.
What's next for MI - MKARIMU INITIATIVE
I am up to realizing my idea and get it to work and help humanity, the first phase of these project will begin soon that is creating the messaging service, the app, the awareness, donations then open for food delivery as simple but great!
Built With
linkedin
pdf
twitter | MI - MKARIMU INITIATIVE | Its an innovative way of improving food security by creating a great platform for food sharing, supply and delivery among the most vulnerable in the society during the pandemic and even after. | ['Noah Lairumbe Tingide'] | [] | ['linkedin', 'pdf', 'twitter'] | 13 |
10,440 | https://devpost.com/software/healthinfo | emergency contacts
settings
individual country display
news alerts
Inspiration
The inspiration on healthInfo came on 15th March 2020 when our President Hon. Uhuru Kenyatta declared the novel Coronavirus a pandemic in Kenya and locked down the schools
What it does
The healthInfo application provides news alerts, global statistics, preventive measures and general information relating to the CoronaVirus, mass awareness and pyscho social counselling through its Mental Wellness Center
How we built it
The application was built on the Android Framework and the genesis version was released on 26th March 2020
Challenges we ran into
Funding to secure the servers
Internet to run the application
The application could not be pulished in the playstore since it wasn't from a government source
Accomplishments that we're proud of
We have inculcated some features that have been integral to healthInfo's growth like mass awareness and news alert and the newly introduced Mental Wellness Center
Currently, our userbase is over 500 people and growing
Expanded our reach beyond the core usage of the application and innovated in the process
We have been making our humble contribution in the fight against COVID19 since 26th March
What we learned
The journey is never easy but it is worth it
What's next for healthInfo
We aim to broaden our reach and become global going beyond Kenya while providing quality services to humanity and aiding the government to mitigate the spread and reach of COVID
Built With
android
php
Try it out
healthinfo.ivoting.co.ke | healthInfo | An all in one solution to mitigate the effects of COVID19 | ['Kelvin Roman', 'Titus ngetich'] | [] | ['android', 'php'] | 14 |
10,440 | https://devpost.com/software/alternative-means-to-e-learning-bkdnws |
window.fbAsyncInit = function() {
FB.init({
appId : 115745995110194,
xfbml : true,
version : 'v3.3'
});
// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
function() {
$('[data-slick]').slick("setPosition")
}, 2500
)
}
});
};
(function (d, s, id) {
var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
js = d.createElement(s);
js.id = id;
js.src = "https://connect.facebook.net/en_US/sdk.js";
fjs.parentNode.insertBefore(js, fjs);
}(document, 'script', 'facebook-jssdk'));
Inspiration
Owing to the COVID-19 pandemic, education facilities across the globe have been forced to temporarily close for the safety of their staff and students. In Kenya, over 15 million students are expected to be learning from home.During a pandemic that has caused significant educational disruptions, there is also a threat that the educational gaps between regions and countries will be further widened, and the digital divide aggravated.With an extended period of school closures due to COVID-19 outbreak, countries are trying to ensure continuity of learning through alternate means. As governments, along with development and humanitarian partners, engage majorly in the process of developing E-LEARNING (digital, video, and audio content) for learners who are out of school, support also needs to be provided to children who don’t have access to the internet or the necessary devices for accessing this content more so in marginalized communities like West-Pokot County. In order to bridge this gap, Self-Instructional Print-Based Material, which supplements the textbook, needs to be provided to children so as to ensure that the Education Sector’s response to COVID-19 remains inclusive.
What it does
Self-instructional print-based material, which supplements the textbook, needs to be provided to children so as to ensure that the Education Sector’s response to COVID-19 remains inclusive.
In classroom based teaching, the teacher is the central resource for learners. Understanding the diversity in the classroom, the teacher packages and repackages content for students who may be at different learning levels and have different learning styles so that learning occurs. The textbook aids the teacher in this effort.
In the absence of a teacher, traditional textbooks alone may fail to ensure active learning among children as such books often focus on explanation of facts, concepts, and theories. What is required in such situations is self-instructional material that not only provides information but also:
defines what is to be learnt
gives examples
explains
questions
sets learning tasks
answers learners questions
allows learners to do self assessment
gives study advice
The type of self instructional material developed for learners depends on the availability of textbooks and the kind of resources in it. In the absence of a textbook, the self-instructional material has to be exhaustive as it has to include content that explains the concepts. However if the textbook already is available with the student, the self-instructional material needs to focus only on resources that are absent and provide a viable self-study plan for the learner. Resources that may be absent in the textbook could include study tips, examples, self-assessment, summaries, etc., all of which enhances active learning and engagement with the students. If the textbook includes most of the above mentioned components, the self-instructional material can be minimal and may focus on the self-study plan for the learner.
A typical unit in self-instructional material has the following structure:
Title of the Learning Unit
Introduction
List of contents
Learning Outcomes
Resources needed for this unit (This section might be repeated several times depending on the number of topics/sub topics; set time limits for each activity)
i. Topic Heading/Sub-heading
ii. Read (pages/topics from the textbook)
iii. Read (new, supplemental text, written by you)
iv. Do (activity written by you; with answer grid for the learner )
v. Do (self assessment written by you; with answer grid for the learner)
vi. Read (feedback written by you)
6.Do (Tutor marked assessments written by you with marking criteria, time limits and date of submission)
Summary/Key points
The focus can be on activities, examples, and self-assessment, and must be accompanied by feedback and explanations on the common mistakes committed by learners while attempting activities and questions.
How I built it
I have a son (Papa Prince Paul) who was supposed to join school but due to Covid-19 Pandemic and closure of schools, I took the initiative to home-school him. So I developed flow-charts, diagrams, maps on manila papers and I also bought readily available printed materials to help him in learning together with his cousin (Emmanuel Kimei).
I transferred contents from Youtube, internet and text books into the manila paper so that they can easily comprehend and understand the context. After seeing the success of the Self- Instructional Print Based Materials and home-made materials in my household, I started mass production to my neighboring community.
Challenges I ran into
Once the self-instructional material were ready for mass distribution in my community and for field trials of the self-instructional material (amidst social distancing) I experienced challenges like lack of transport money.
Self-instructional material should not only have space for writing the answers to self assessment questions, but also space to answer feedback related questions (“Were the questions too easy/difficult?”; “Was the set time limit adequate for you?”; “Did you find the observation task too difficult?”).
Because of the spacing I had to use a lot of manila papers and mark pens which is costly.
Another challenge I experienced was lack of human resource (volunteers) and workshop to work in since the space in my room was limited.
No-tech, print-based responses will try to ensure that learning goes on in resource deprived areas. However, its effectiveness strongly depends on the ability of learners to actually read the self-instructional material. This is not a given, even among upper primary students, as more than half of the world’s children are expected to finish school without being able to read more so in marginalized communities as well as arid and semi-arid areas. The inability in the past to ensure that they learn to read even while in school greatly impacts the current efforts to ensure that they can read to learn through these self-instructional materials while out of school.
Accomplishments that I'm proud of
One of the major accomplishment that am proud of is that the Self Instructional Print Based Materials has helped to remove barriers to education, and allow students to study what they want, when they want and where they want.
Last but not least, homemade and printed self instructional materials serves the need where there is no internet access and limited teachers and instructors more so in the arid and semi-arid areas as well as marginalized areas.
What I learned
Most students are very comfortable using print based materials (publication, document, or record including, but not limited to, the following: newspapers, magazines, books, photographs, drawings, prerecorded magnetic audio tape.) to learn.
Instructional materials constitute alternative channels of communication, which a teacher or a guardian can use to convey more vividly instructional information to learners.
I have learnt that Self Instructional Print Based materials are relevant to the needs and characteristics of the learner and timely as they have to reflect what is happening currently in the community and are attention-grabber as the materials catch the eyes of the students.
What's next for ALTERNATIVE MEANS TO E LEARNING
So there is extra burden on us now to mitigate the impact of illiteracy through the use of illustrations (e.g. concept maps, flowcharts, diagrams, etc.) and so there is need to reach out to those communities that cannot access e-learning.
Built With
hardware
oxford-english-dictionary | ALTERNATIVE MEANS TO E LEARNING | Owing to the Covid-19 Pandemic, education facilities has been closed affecting over 15 million students in Kenya.Government is trying to ensure continuity of learning through majorly e-learning but... | ['Henry Muasa'] | [] | ['hardware', 'oxford-english-dictionary'] | 15 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.