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 |
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10,443 | https://devpost.com/software/test-m5dk7r | Inspiration
Right from my engineering days (some twenty years ago), i was very passionate on human and computer interaction. I still remember that during those days we had SAPI - Speech Application Program Interface. I built a small application that will pause and resume a song played using voice command. it was developed as a Visual Basic project then.
When the Alexa was launched in Indian market, i was very quick to buy the Echo Dot and wanted to explore building skills in it. Though i am passionate about programming, in my current role i do not involve myself in coding activities. I quickly brushed up my programming skills and designed and developed a small number guessing game (Skill name - Guess It) and got it certified and published. Also, as the feature set developed, i re published the skill. To my surprise the skill got qualified for rewards based on usage counts and i got monthly rewards from Amazon. It is not about the rewards, it is about the recognition that fueled and inspired me.
I keep track of mails on new Alexa features. It was a giant leap by Amazon to introduce Alexa conversations. I wanted to explore and try.
What it does
The skill speaks out a story with randomness and dynamism built into it. Also, for a greater customer experience it combines that with sound effects. After listening to the story, Alexa asks ten questions for which the users have to provide answers. The questions carry the context from previous responses and makes it more close to a human to human conversation. End of day, that is what is Alexa Conversations is all about. Once you answer all questions the skill gets you a score based on the number of correct responses.
I am confident that regular use of this will train your brain to remember things. Kids can use this, also this can be one off party game to bring in the fun element. It can also be used by older patients who have memory problems to slowly train their brain.
How I built it
Currently i am not a developer, i am into domain and program management. But, my passion towards coding fueled me to learn and build this. Also, i strongly feel that Alexa Conversations completely changed they way skill development happens. For me it was all about dreaming a dialog and conversation flow. Moment that script is finalized, it was all about giving some procedural structures to it and support it by few API. But, the toughest part was to dream the script !!!
Challenges I ran into
With experience in old way to coding skills where we have to handle everything, this Alexa conversation sounded interesting. But, where to start !!!
The way Amazon organized the live sessions and the sample skills provided with step by step approach to build was a ground breaker. It made all the difference.
All, it required was a goal and passion from my side and you enabled all the support in the journey.
Accomplishments that I'm proud of
End of day, i am proud that i published a skill "Guess It" in market place and world over people are using it. It might not be a large user base. But for me, since launch some 3000+ user sessions have run and still adding / continuing. It is a sense of satisfaction.
I am also proud that i started from ground zero in Alexa conversations and now reached the certification stage. I am hopeful, it should be certified in couple of days as the first round certification feedback was just to close the session at API success, which i corrected and sent.
What I learned
Have a goal oriented approach
Dream and start to walk in end users shoes
Help is all around, seek it through right channel and get it from right qualified personal
Be passionate and Hard work pays
What's next for Train Your Brain !!
Add more interesting stories and circumstances for the end user. Make the conversation even more engaged with more sound and visuals. Offer ability to create and store scoring patterns by game complexity. Show progressive metrics for the users. | Train Your Brain !! | With too many distractions around people are losing the art of focus and concentration. This skill helps train the brain to focus and remember. It can double up as party game and also help old people. | ['Sriram Krishnan'] | [] | [] | 88 |
10,443 | https://devpost.com/software/super-hero-battle | Super Hero Battle
Welcome screen
Super Hero Battle screen
Super Hero Battle Skill helps you create battles between your favourite superheroes!
Choose two superheroes and a power item, guess who is going to win and get ready! You will get points everytime your guess is correct.
Just say 'Alexa, open Super Hero Battle' to get started
Inspiration
I was looking for a fun and simple use case to try Alexa Conversations for the first time
What it does
The Super Hero Battle skill helps you create battles between your favorite superheroes
How I built it
I use Node.js for my lambda function hosted on AWS and I call an external API to get the data about superheroes.
For the APLA responses I use ssml and some audio files that are hosted in an S3 bucket.
Alexa Conversations handles part of the dialog management.
Challenges I ran into
Lack of time
Accomplishments that I'm proud of
I am proud of this first version of Super Hero Battle Skill and what I have achieved in such a short time.
What I learned
I learned about Alexa Conversations and how it makes the development process better, by not having to think about all possible conversational turns.
What's next for Super Hero Battle
Adding more engaging sounds. Leaderboard. Allow the user to ask about superheroes. Creating battles between teams of superheroes.
Built With
amazon-alexa
amazon-web-services
node.js
Try it out
www.amazon.com | Super Hero Battle | The Super Hero Battle Skill is a game skill that delights users by allowing them to choose their favorite superheroes and create battles between them. | ['Marisa Espinosa'] | [] | ['amazon-alexa', 'amazon-web-services', 'node.js'] | 89 |
10,443 | https://devpost.com/software/device-catalog | Inspiration
To use Alexa to find out basic specification of a smartphone or tablet
What it does
It is a catalog of devices with basic specification which allow user to search by certain criteria, for example: by brand, by model name, etc..
Full features listing
get latest
search by brand
search by model
search by storage
search by ram
search by operating system (os)
search by operating system (os) version
search by brand and model
search by storage and ram
search by os and os version
advanced search (brand, ram and storage)
What's next for Device Catalog
Enhancement to include as many devices as possible
Enhancement on advanced search to include few more criteria for narrowing down searches
Enhancement to have more dual criteria searches, searches done by user in the future captured in logs will give potential direction
Built With
lambda
node.js
python | Device Catalog | A skill for user to search for devices like smartphones or tablets | ['Dylan -'] | [] | ['lambda', 'node.js', 'python'] | 90 |
10,443 | https://devpost.com/software/formula-1-bot | Inspiration
I love Formula 1 racing. I have had the pleasure of following some official races and free practice in person. I think it's an incredible sport. Unfortunately, I have not time anymore to follow the live races so I decided to create a Skill that could give me quick information about the podium of the latest race as well as when and where the next race will be. This is how Formula One Bot was born.
What it does
Currently, the Skill lets user:
Check Formula One Drivers standings
Ex.: Alexa ask Formula One Bot how many points has Hamilton
Check latest race results
Ex.: Alexa ask Formula One Bot who won the latest race
Check next race date and place
Ex: Alexa ask Formula One Bot when is the next race
Check the Formula One World Championship per year
Ex.: Alexa ask Formula One Bot who won the championship in 2000
How I built it
The skill was built using the tutorials and codes made available by Amazon on its GitHub as a reference. Because it is an extremely new concept, in the beginning there are some barriers to be overcome for those who are used to building Skills by coding everything. But in the end, the result is surprising.
Challenges I ran into
Initially, understanding how everything relates to Alexa Conversations is a challenge. Since the concepts of API Definition, Responses and Dialogues are new, there was a learning curve at the beginning. Another challenge was to merge the use of Alexa Developer Console with VSCode. Deploy Skill's times are massive, and it is a bit cheering up. But the biggest challenge was the fact that I'm out of Alexa devices for testing. Using the Alexa app on the phone as well as on the ASK UI works well, but nothing like a physical device.
Accomplishments that I'm proud of
I am proud to have participated in the Alexa Skill Challenge. Although my current job has nothing to do with voice apps, it was great to remember old concepts and learn about Alexa Conversations. I'm glad I didn't get discouraged in the beginning with some obstacles I faced.
What I learned
I loved meeting Alexa Conversation. For those who have followed the evolution of Alexa since its launch in 2014, we know how impressive it is to be able to create a Skill without worrying about coding, opening the door for many non-developers to create incredible Skills. As I am a developer, I am missing being able to create Dialogs using code. Another thing is that the current engine, despite being excellent and impressive, is still missing in some ways. Try, for example, to rename a Slot after everything is ready; you're going to have a lot of headaches trying to fix everything again. The construction / training mode is taking a long time compared to what we had in the past. Despite this, I am very pleased to have spent a few hours to see how Alexa Conversations works. Worth it!
What's next for Formula 1 Bot
Soon, I intend to include new features related to historical facts that allow to know the number of titles and wins of certain pilots. I also intend to include information about the current circuits such as their dimensions, DRS zones, track records and drivers who most won. | Formula 1 Bot | Formula 1 Bot is an Alexa Skill that can provide information about Formula 1 series regarding the next race, latest rankings, drivers' positions in the World Championship and other historical facts. | ['Patrick Tedeschi'] | [] | [] | 91 |
10,443 | https://devpost.com/software/next-meal-und631 | Inspiration
Next meal is the skill to pick your next meal on the basis of your mood. It helps to decide which and what to eat. It will also help you to make food from scratch and will take feedback at the end of the meal to assess your emotional balance.
What it does
It helps to decide what meal you are going to order or make
How I built it
mostly i used javascript and alexa conversation
Challenges I ran into
making database for food and linking to the main index file
Accomplishments that I'm proud of
The feature i am trying to implement is still in process.
What I learned
More about alexa conversation
What's next for Next Meal
adding features like calling your friend/mom when you get into problem
Built With
javascript | Next Meal | Next meal is the skill to pick your next meal on the basis of your mood. It helps to decide which and what to eat. It will also help you to make food from scratch and will take feedback at the end. | ['Rajat Kumar'] | [] | ['javascript'] | 92 |
10,443 | https://devpost.com/software/profr | FSN
Inspiration
Knowing good and bad of a professor is very important for college students when deciding which course to take. However, looking through the Internet and reading comments and rating from various websites and other students are time consuming. So we decided to use Alexa to help us look through the information from the Internet.
What it does
Rating Professor helps user looking up professor information on the Internet, then generating rating of the professor and read comments of that professor from students.
How we built it
We use the concept of Finite State Machine.
Accomplishments that we're proud of
Built
Professor Rating
Alexa Conversation to help students query professor rating without hand.
We provided excellent user experience, by providing
Professor Rating
with multiple outputs in every scenes.
Comparing to the pizza example, we use
Finite State Machine
to simplify the process, and make the architecture of our program more clear.
What we learned
How to use
Typescript
and Amazon
Lambda
to deploy an API.
How to use
Python
to fetch and clean Professor Rating data.
How to use
GraphQL
to query fast and easy.
How to use
Finite Auto Machine
in real life.
What's next for Professor Rating
Improve User Experience
Adding more human like responds, more clearly data.
Adding composite input ability (ex. when user say "select {professor} in {school}", we will automatic parse these parameters).
Improving Professor Selection Accuracy.
Open Source
Let others help us to improve experience and fix bugs.
Providing API to query
Professor Rating
in any platform, anytime, anywhere.
Built With
amazon-alexa
amazon-web-services
typescript | Professor Rating | Tell Alexa a school and a professor, then she will tell you score, difficulty, and comments of the professor. | ['Yue Leng', 'LordElf Lai'] | [] | ['amazon-alexa', 'amazon-web-services', 'typescript'] | 93 |
10,443 | https://devpost.com/software/unofficial-shazam | Alexa Skill Logo
Unofficial Shazam Launch Screen
Screen for searching for song lyrics
Screen that displays Tops songs of an Artist
Inspiration
I wanted to find songs whose titles I forgot but remembered some vague lyrics to.
With this I was able to find the songs I was looking for without having to manually search google hoping for a breakthrough. Once I was able to find the song I was looking for, I wanted to find music by the same artist that are trending/popular.
What it does
Unofficial Shazam finds all the songs that contain the lyrics you tell it to search for. You can also ask for it to tell you the specific Artist's top songs.
How I built it
This was built using the ASK-cli provided by amazon.
Challenges I ran into
Utilizing the Alexa Presentation Language is not very user friendly and we ran into a lot of problems. For example, implementing the touch wrapper for touch devices to add a type of touch functionality, which we couldn't get to implement. We also tried to implement canFulFill Intent but had to ultimately abandon that feature as we couldn't get it working. In addition, some documentation seem to be outdated and was difficult to follow along.
Accomplishments that I'm proud of
Accomplishing a minimal viable product that implements the main features we were ultimately trying to accomplish.
What I learned
Developing for amazon devices with a display is no easy task.
What's next for Unofficial Shazam
Hopefully, we will have learn how to add functional touch features so that users may also interact with the display, making it easier to use the screen functionality. Also, adding a way to find similar music to the application.
Built With
ask
axios
javascript
Try it out
github.com | Unofficial Shazam | Unofficial Shazam lets you search for song titles through song lyrics. We also provide a listing of an Artist's top songs for you to enjoy. | ['Martyn Mallo', 'Jessica Moreno'] | [] | ['ask', 'axios', 'javascript'] | 94 |
10,443 | https://devpost.com/software/cast-buddy | Inspiration
I love podcasts, they're great while working to have your headphones plugged in and listen to podcasts as you're working, helping you focus while not as distracting as music in headphones. They're also great while cooking, or even working around the house so that inspired me to have Cast Buddy Amazon Alexa so you could have around the house or outside on your phone or car.
What it does
Cast Buddy helps you find podcasts using search, listen to podcasts or subscribe to podcasts you like so you'd be able to listen to them whenever you please. Cast Buddy also keeps your listening history so you could go back and check the podcasts you liked. You could also set safe mode so that you may filter undesired results while listening.
How I built it
Cast Buddy was built using amazon Alexa dev console to create and define the interaction model and intents and enable the conversations. An Amazon lambda instance was used to create the backend to the Cast Buddy, and responses were implemented using Alexa SDK for Nodejs v2.
Challenges I ran into
I ran into many challenges, the main ones relating to the features hoping to support and the time available before submission, I made the list of features required for having the minimum viable product and kept the other features as the backlog for feature addition and enhancements.
The other main issue I faced related to my relatively small experience with Amazon Alexa skill development as I had a simple interaction with it a long while ago. So, it was a fun and exciting opportunity to be able to get started and quickly get up to speed and develop the desired features in time.
Accomplishments that I'm proud of
I'm proud of the speed I was able to get up to speed to make it through the development phase despite the learning curve I went through in the space of a couple of days. I am proud of the effort I exerted in the learning experience no matter the outcome which would benefit me in both my personal and career life.
What I learned
I learned a lot of technical skill and development information, especially about the Alexa development stack. I've also gained a lot of soft skills knowledge such as time management and feature and product prioritization.
What's next for Cast Buddy
Cast Buddy has a lot of exciting new steps coming ahead, There's already a list of exciting features to come most notable of which is the ability to export subs and history to opml files to be able to move history to another podcasting client. Also the ability to listen based on genre/recommendations and major improvements to search/play experience.
Built With
amazon-alexa
amazon-cloudwatch
amazon-dynamodb
lambda
node.js | Cast Buddy | Cast Buddy is your podcast listening buddy, it helps you search for, play, and subscribe to podcasts. | ['Mahmoud Salah'] | [] | ['amazon-alexa', 'amazon-cloudwatch', 'amazon-dynamodb', 'lambda', 'node.js'] | 95 |
10,443 | https://devpost.com/software/talking-cloud | Inspiration
During this pandemic, I've noticed that children aren't getting the necessary English practice that is required to improve themselves. The education sector's tools didn't seem to be in the best shape to help with this pandemic.
What it does
The teacher or parent can setup a student to create tasks for students to complete. The student can fulfill these tasks through the website or Amazon Alexa.
How I built it
Front-end: HTML, CSS, ReactJS, Webpack, Apollo
Back-end: GraphQL, NodeJS/ExpressJS, PostgreSQL, AWS RDS
Design: Inkscape, Blender3D, Adobe XD, Adobe Photoshop
DevOps: Cypress, Github, Digital Ocean, AWS
Other: AWS Lambda
Challenges I ran into
There are so many things I want to achieve in this and I'm still figuring those out.
Accomplishments that I'm proud of
Everything about this app. It has been an absolute challenge, but it's a joy to work on it from the ground up.
What I learned
This app has helped me thoroughly explore app creation. Whether it was through the backend, database, server managmenet, SQL Queries, GraphQL Queries, designing, frontend, and various APIs.
What's next for Talking Cloud
Better design, more task content, setting up the code for content, networking, and more. The app is still in its development stage and we are actively improving it.
Built With
alexa
amazon-web-services
apollo
digitalocean
express.js
graphql
javascript
node.js
react
typescript
webpack
Try it out
talkingcloud.io | Talking Cloud | Perform tasks to satisfy student's reading and writing comprehension with the help and guidance from their parent and teacher | ['Yenith LianTyHao', 'Jenearly Ang'] | [] | ['alexa', 'amazon-web-services', 'apollo', 'digitalocean', 'express.js', 'graphql', 'javascript', 'node.js', 'react', 'typescript', 'webpack'] | 96 |
10,443 | https://devpost.com/software/travel-de-india | Inspiration
Too busy to search the web about India? Where you can go? the best attraction? the best time to travel? Yeah, now you can search all of it using Alexa without wasting any time or getting bored.
India is one of the most fascinating and diverse places on the planet. It offers a plethora of unique culture and nature.
India is famous for its heritage, spirituality and it can woo the tourists with its myriad of landscapes.
What it does
Travel De India lets users ask Alexa about the best destinations in India. It gives recommendations about the most attractive tourist places, the best time to visit, popular activities to do, the best hotels to stay, how to reach there, and much more.
Many a times, tourist and travelers read the stuff over the web or ask Alexa, Travel De India let them assess their knowledge with a fun trivia game and give them instant results.
How I built it
I built Travel De India using Node.js language.
Challenges I ran into
The main big challenge was to integrate a hotel booking API which I could not but aiming to integrate soon.
Accomplishments that I'm proud of
Building an app that can actually be useful for people by gaining and checking their knowledge in a fun learning way.
What I learned
Learned about Alexa conversations, dialogs, API integration.
What's next for Travel De India
The next target is to cover other cities of India. Integrate a hotel and flight booking API.
Skill Id
http://amzn1.ask.skill.2c77c7fa-0ad5-4d18-9cd5-2dbace9e7ba5
Built With
node.js | Travel De India | India is one of the most diverse places. It opens door of spiritualism with a plethora of nature. Travel De India helps tourist with personalised recommendations and check their knowledge with quiz. | ['Yash Chaturvedi'] | [] | ['node.js'] | 97 |
10,443 | https://devpost.com/software/trumedicines-smart-pill-packet-dispenser-g5b8qa | Ai image recognition of pill packets
Serialized pill image recognition
Mock Example - Pill Packet Dispenser for Walmart Pharmacy
Mock Example - Pill Packet Dispenser for CVS Pharmacy
Mock Example - Pill Packet Dispenser for Walgreens Pharmacy
Mock Example - Vitamin Packet Dispenser for Persona Nutrition
Mock Example - Pill Packet Dispenser for Kroger Pharmacy
Mock Example - Pill Packet Dispenser for Medicare Pharmacy
Mock Example - Pill Packet Dispenser for Veterans Admin Pharmacy
Mock Example - Pill Packet Dispenser for COSTCO Pharmacy
Mock Example - Pill Packet Dispenser for Rite Aid Pharmacy
Mock Example - Pill Packet Dispenser for Bartell Drugs Store
Inspiration
Solving the Pill problem - 80 percent of people forget to take their pills
What it does
Our Pill Packet Dispenser reminds when to take your pills, dispenses it and log the event to your healthcare provider or family or pharmacy.
How I built it
We build this prototype with the assistance from the Univ of Washington College of Engineering Capstone project
Challenges I ran into
Image recognition of the pills, text on packets, Ai avatar medication assistant
Accomplishments that I'm proud of
the Ai Avatar turned out really well, its very flexible we can change characters and speak in many languages
What I learned
building hardware devices is hard work
What's next for TruMedicines Smart Pill Packet Dispenser
We are planing production of the pill packet dispenser | TruMedicines Smart Pill Packet Dispenser | TruMedicines Smart Pill Packet dispenser uses amazon polly and conversations to create an interactive pill packet dispenser. | ['chafisher Fisher', 'Steve Lambert'] | [] | [] | 98 |
10,443 | https://devpost.com/software/shortcut-keys | Inspiration
As a software developer, I use shortcut keys on a daily basis and know just how useful they can be. They can save so much time, but only if you know what they are. I wanted to create a skill that could easily help people remember these on their way to memorization.
What it does
Shortcut Keys will provide you the correct keys for top Windows shortcuts.
How I built it
To build this skill, I first followed the Pet tutorial to learn about Alexa Conversations. Then, I created a new skill and used what I had learned to build out conversations and supporting code for the skill.
Challenges I ran into
I ran into some challenges trying to connect the API with the dialog and ensuring my dialog flows were correct. It took some trial and error, but I finally got it working!
Accomplishments that I'm proud of
Figuring out steps to complete troubleshooting, even though Alexa Conversations is in Beta so there is little documentation when things go wrong.
What I learned
I learned a lot about building dialogs and defining good sample utterances that will lead down the right path.
What's next for Shortcut Keys
There's a ton of room for growth here! I am considering expanding into more than just Windows or at least adding more shortcuts to the knowledge library.
Built With
javascript
json
lambda
Try it out
www.amazon.com | Shortcut Keys | No more worrying about memorizing all of the shortcut keys while you are trying to get work done! Shortcut Keys is designed to provide an easy way to recall common Windows shortcuts. | ['Andrea Long'] | [] | ['javascript', 'json', 'lambda'] | 99 |
10,443 | https://devpost.com/software/alexa_control | Inspiration- For me learning was the first and foremost reason to join the hackathon, i have never developed any alexa skill. so this was my first time to at least learn something new.
What it does- This skill enables users to book an appointment with the clinic for any injury in body.
How I built it- i made use of some utterances and slots which allowed me to successfully develop the skill
Challenges I ran into - As it was something new for me, everything was challenging whether it had been creating just slots or making code for the responses.
Accomplishments that I'm proud of - i am proud to learn something new, that i think i was never before able to knew about.
What I learned - The whole hackathon was something that taught me use of the alexa in day to day life specially in pandemic.
What's next for Clinic_Appointment_handler - I would like to make it more responsing by adding the features, like time and varies other which i was not able to do in this skill. | Clinic_appointment_handler | This skill enables alexa to book a contact less appointment for any injury? | ['PIYUSH KSHATRIYA'] | [] | [] | 100 |
10,443 | https://devpost.com/software/audio-illusions | Inspiration
A TED talk on how the brain makes sense of the world around us.
What it does
Shows audio clips to the user to demonstrate the effect of context on how your brain perceives inputs.
How I built it
Alexa -> NodeJS Backend in Lambda
Serving static files though S3 with CloudFormation
Challenges I ran into
The new Alexa Conversations had some quirks and were quite different to previous skill creation.
Accomplishments that I'm proud of
Getting to grips with the new Alexa Conversations format (ish...).
Managing to create the audio clips.
What I learned
Learnt about the Alexa Conversations and how they can help.
What's next for Audio Illusions
Continue to provide more illusions and look into creating custom illusions. | Audio Illusions | Shows some audio clips that show how our hearing can be tricked. | ['Kuba Jasko'] | [] | [] | 101 |
10,443 | https://devpost.com/software/what-s-my-bmi | Inspiration
I was inspired to do this skill as a learning exercise. I need to use Alexa Conversations for some pretty complex skills and this was my first stab at getting the beta to work for me.
What it does
It's a simple enough skill as you ask Alexa to calculate your BMI and she asks you for your height and weight and calculates your BMI. The trick with this skill is that you might answer in feet and inches, centimeters, pounds, kilos or even stone. What's my BMI? handles all of those possibilities.
How I built it
I used the Alexa Developer Console to build the Voice User Interface (VUI) for this skill, and I used Python to write the Alexa-hosted backend code.
Challenges I ran into
I had a devil of a time figuring out how to get Alexa to recognize 2 part height and weight measurements, such as 6 foot 2, and 14 stone 6. I also had some difficulty figuring out how to exit the skill when it returned your BMI.
Accomplishments that I'm proud of
I'm proud of the way I solved the 2 part measurement problem. Instead of trying to use AMAZON.Number slots, I switched to using words and phrases, as in, "six foot two" and "fourteen stone seven". This allowed Alexa to match on the word or phrase and not worry about the actual numbers themselves. Translating the words to numbers was trivial once Alexa identified the Slot ID for the selected item. So instead of umpteen slots, I now have two: Height and Weight.
What I learned
I learned that there are many ways to configure Alexa and not all of them work.
What's next for What's my BMI?
What's my BMI is a jumping-off point. After this, I will be creating much more complex skills, probably leaning into the FinTech space with a market prediction Skill.
Built With
alexa
alexa-conversations
python
Try it out
www.amazon.com | What's my BMI? | What's my BMI? is an Alexa Skill that calculates your Body Mass Index. | ['Simon Kingaby'] | [] | ['alexa', 'alexa-conversations', 'python'] | 102 |
10,443 | https://devpost.com/software/racket-choice | My racket...soon to be replaced.
Inspiration I'm a tennis player who will need a new racket soon.
What it does Helps with choosing a racket.
How I built it Alexa hosted skill using Conversations
Challenges I ran into Testing is not robust for this type of skill.
Accomplishments that I'm proud of Designed and coded the skill in two days.
What I learned That examples don't always do things as they should be done..
What's next for Racket Choice more research on the racket availability side. Probably add more factors for choices and expand the explanation of the attributes of the rackets.
Built With
alexa
and
converations
node.js | Racket Choice | It's time to replace your tennis racket. There are a number of choices from a dozen or so vendors. What do you like in a racket. Specify what you want and get a recommendation. | ['Dana Gibson'] | [] | ['alexa', 'and', 'converations', 'node.js'] | 103 |
10,443 | https://devpost.com/software/tweet-libs | @alexatweetlibs
one slot food mad lib
travel mad lib
tweeting them out
dialog sample
Inspiration
I wanted to take the opportunity to both learn about Alexa Conversations as well as teach others along the way. To do this best, I ran through ideas that would use as many of Alexa Conversations' features without depending on as many other features available to skill builders while still building something both functional and fun to use!
I did this by building the entire skill, from idea to publishing, all live on my twitch stream! We usually build all sorts of skills and conversational applications on stream, so trying to use only Alexa Conversations as far as we could meant that we could teach the components of it without needing any other Alexa skill building concepts as background!
Mad Libs felt like the perfect fit - a game most people know, naturally conversational, and a great test of the automation provided by Alexa Conversations.
What it does
Tweet libs has a fun, functional, yet simple set of features:
Start the skill
Ask for a mad lib by category
Talk to Alexa to give her the answers she requires to fill in the values
Have the final mad lib read out to you
Have your mad lib tweeted out by @alexatweetlibs for all to see!
It has dozens of output options depending on which category you go with, and a future of many many more!
Here are a couple examples!
Simple one-slot food:
Travel two-slot:
Tweeting it out:
How I built it
I went through a few phases of building it in order to properly learn how to use Alexa Conversations. Originally, I tried building it in a way that is more similar to traditional Mad Libs where the device would prompt for parts of speech like "noun", "verb", "adjective", etc. But without the ability to use the AMAZON.SearchQuery slot type, it seemed unlikely that I'd be able to train custom SlotTypes for every possible form of a noun or verb.
Because of this, we pivoted to more subject based mad libs to help guide into different Dialog paths that made use of either pre-trained list SlotTypes, or custom trained SlotTypes.
So to make a category of Mad Lib, all I have to do is:
Choose the slot type(s) I want to use as variables in the output
Build a dialog around starting the mad lib conversation for that category and prompting for the required variables/slots
Build the utterances/responses for each inform request / prompt of each slot
Build a list of template strings in code for the category that use the slots
Build a generic handler that uses the template list and the input types
This means that adding new output mad lib templates to existing categories just requires adding a new string template to an array and adding an entirely new category of mad lib requires only creating template strings and training a dialog.
For example, adding a mad lib category of "hall pass mad libs" looks like this in the code:
build templates
const hallpassTemplates = ['{name} is authorized to be at {location} instead of {noun} class',
'{name} is simply too cool for {noun} class. They will be at {location} instead.',
'I heard {name} was playing hookie from {noun} class and was found sleeping at {location}!']
create abstracted handler:
const HallPassMadLibHandler = {
canHandle(handlerInput) {
return util.isApiRequest(handlerInput, 'HallPassMadLib');
},
handle(handlerInput) {
return handleMadlibRequest(handlerInput, "HallPassMadLib", hallpassTemplates);
}
}
And that's all there is to it!
The rest is handled by the
handleMadlibRequest
function that extracts the params out of the payload and replaces them in the template:
const handleMadlibRequest = (handlerInput, name, templatesArray) => {
const args = util.getApiArguments(handlerInput);
const completeLib = getAndBuildMadlib(templatesArray, args)
let response = {
apiResponse: {
response : completeLib
},
shouldEndSession: true
};
tweetMadLib(completeLib);
return response;
}
const getAndBuildMadlib = (templatesArray, args) => {
// get random template from the provided array
var output = templatesArray[Math.floor(Math.random() * templatesArray.length)];
// iterate over each property in args and replace that property from the templates
const keys = Object.getOwnPropertyNames(args); // ex: ['noun', 'location', 'name']
keys.forEach(key => {
output = output.replace(`{${key}}`, args[key])
});
// return the full completed output
return output;
}
Pair that together with a dialog, and you're done!
Challenges I ran into
The biggest challenges came with the time it took to build the model. In order to build the entire model, I saw times of 5-20 minutes, and during those build times I wasn't able to make any other changes like build new dialogs, utterance patterns, etc. This meant that to start testing, I'd need to queue a build and wait for everything to finish, validate my changes, then continue to add more.
Accomplishments that I'm proud of
The biggest accomplishment for me was being able to teach and inspire others to build conversational experiences on Alexa and come up with their own ideas to build while exploring my own! I was able to quickly understand the different take/mindset on AC building versus traditional skill building and had the opportunity to share that, break it down, and teach others how to get started themselves!
What I learned
I learned an insane amount about Alexa Conversations and the new ways to build and manage multi-turn conversations without having to manage it all myself using my own tools and way more code. The ability to design and configure natural conversations using only labeling and minimal code left me with an entirely different mindset to my traditional app dev take on building skills.
I also learned a bit more about Alexa hosted code. I've released dozens of skills using managed/hosted lambdas, HTTP servers on AWS, Azure, and GCP, as well as cloud functions with HTTP Gateways. Learning how easy it is to build skills that require minimal code using all the resources available in the Alexa Developer Console was awesome!
What's next for Tweet Libs
First off - more mad libs! Now that we can SUPER easily add more mad lib templates to existing categories, I'll be adding more and more! I'm planning on sourcing them from my discord, twitch chat, my own brain, and also the @alexatweetlibs twitter too! I also plan on adding more categories and accompanied templates to add a more expansive set of features and fun. I may also add more social channels to share the mad libs other than twitter, but that is up in the air at the moment.
I can't wait to see all your funny mad libs on twitter in the future!
Built With
alexa
alexa-conversations
amazon-alexa
labmda
node.js
Try it out
alexa-skills.amazon.com | Tweet Libs | Build simple and quick mad libs using Alexa Conversations and have it tweeted out for the world to see from @alexatweetlibs. Choose from simple categories like Actors, Comics, School, and more | ['Alex Dunn'] | [] | ['alexa', 'alexa-conversations', 'amazon-alexa', 'labmda', 'node.js'] | 104 |
10,443 | https://devpost.com/software/road-trip-t2cqzo | Welcome Screen
What is your ideal vacation in one word?
What are you dining preferences during vacation?
How do you enjoy interacting with the outdoors?
What is your vacation goal?
What city will you depart from?
Result: Laguna Beach
Result: Lake Tahoe
Result: Grand Canyon
Inspiration
I am an avid traveler, having visited 42 countries and 43 states. Since the global pandemic, I have stayed at home for the longest stretch in many years. Many of my friends have ventured out on vacation and instead of flights, they are opting for road trips for social distancing. I believe the great American road trip is making a comeback. I created this skill to help you find your next vacation destination in the lower 48 states.
My goal was to ask a few fun questions to get a sense of the user's vacation preferences and then provide a holiday destination within a reasonable driving distance.
What it does
This skill asks the user 4 vacation preference questions from preferred cuisine to vacation goals and then selects the closest destination to the user’s departure city.
There are several variations of each question, but the gist of the questions are:
If you could describe your ideal vacation in one word, would it be adventure, culture, or luxury?
For vacation food, do you expect just enough food for sustenance, sample the local cuisine, or fine wine and dining?
Is your idea of interacting with the outdoors, sitting on the beach, climbing a mountain, or opening the window in your ride share?
To make your vacation feel truly special, would your goals be to make memories, kick back or maximize sightseeing?
The algorithm returns a suggested vacation destination and the number of driving miles. Echo Show users can make their selections on the touchscreen and Alexa will provide a photo of the suggested vacation location.
After the skill has made a recommendation, the user can ask to change any of the preferences. For example, the user could respond to the recommendation by saying, "What if I change my dining preference to local cuisine?"
Then another recommendation would be made.
This skill is for people living in the lower 48 US states seeking their next vacation destination.
How I built it
I started by writing four preference questions based on my travel experiences. I wanted the questions to be fun and show a little attitude to put the user at ease. This skill is written for people who don't already have a specific vacation destination in mind.
I built the Road Trip skill in 3 phases.
Phase 1: Base Skill with Audio Only (Submitted on September 2, 2020 and approved on September 4, 2020)
Phase 2: Added APL Visual screens (Submitted and approved on September 6, 2020)
Phase 3: Added functionality for the user to change any of their answers to further utilize Alexa Conversations. (Submitted & approved on September 13, 2020)
There are 4 preference questions and departure city question. Each question has 3 multiple choice answers for a total of 81 unique possibilities. But I didn’t stop there. I created a database of 3 answers for each of the 81 possibilities ranging from east coast to west coast for a total of 243 possibilities. Using the Google Distance API, my lambda function calculates the distance between your departure city and the 3 suggested cities. If any of the suggested cities = user's departure city, that city is not returned. From there, the algorithm returns the closest destination to your origination location. I utilized Google Places Photo API to return a photo of the suggested vacation destination for Echo Show users.
For the APL visual menus I created for the 4 preference questions, I spent significant efforts to select, crop, and code photos that represented the essence of my intended skill design. It was infinitely easier to visually map APL audio and visual responses in Alexa Conversations; the code practically wrote itself!
Challenges I ran into
In the beginning, I couldn’t get Alexa Conversations to work! I kept hacking the tutorials until I finally figured it out. Next, I brainstormed ideas for my contest entry. I coded 4 other concepts before finally deciding to go with Road Trip for my contest entry. I found a few strange temporary anomalies while working on the skill. For example, on Friday, September 11, 2020, no matter which city I entered (typed into the simulator screen, or spoken to my Amazon Echo device) as my departure city, Alexa interpreted the city name as "Welcome," and would map all potential destinations from the city of "Welcome." Fortunately, the next day, the "Welcome," issue resolved itself, without any code changes on my end.
Accomplishments that I'm proud of
I'm proud of learning Alexa Conversations, APL for Audio and Visual and many other enhancements from the Alexa Live 2020 event in July. As a side note, I also learned how to send an email from an Alexa Skill using Simple Email Service (SES) and enabling permissions in Alexa. I'm proud of the APL screens I created and integrating sounds from the Alexa sound library into my skill with APL for Audio. I was jumping for joy when I finally got the destination city's photo to display on the Echo Show screen.
What I learned
I learned so much in this Hackathon thanks to the Twitch streams, Slack channel, tutorials, code samples, and documentation. I video conferenced with my colleagues in the travel and hospitality industry to understand the needs that Alexa could fill. I learned the main concepts of Alexa Conversations first and then beefed up on APL Visual, APL Audio, S3 buckets, Alexa hosted Node.js. I “re-learned” how to create APL screens to work with Alexa Conversations.
What's next for Road Trip
There are so many possibilities for Road Trip. Due to the limited time, this is only a phase 1 of Road Trip. For phase 2, I could add more destinations and points of interest along the route.
Built With
amazon-alexa
node.js
Try it out
skills-store.amazon.com | Road Trip | Find your next vacation destination in the continental US. | ['Caroline Dunn'] | [] | ['amazon-alexa', 'node.js'] | 105 |
10,443 | https://devpost.com/software/uplift-efficiency-7zx9ra | Uplift Efficiency
Uplift Efficiency
Inspiration
Productivity has been one of the mostly discussed topics in the recent days with the most people working from home and almost everything going online.
We've seen people face many issues like not taking breaks at all or being distracted too much. Most don't achieve all the tasks because they don't have a proper plan, or because they forget the time to begin a task.
Yes, there are a significant amount of mobile apps that can solve these issues. But after a small survey we understood that the mobile phone is a distraction to some and using a mobile app to increase efficiency never happens.
Voice Skills is growing very fast and there are voice skills to solve most of the every day problems. Voice skills themselves are efficient, you don't have to disturb your work while using it. Just your voice is enough.
Therefore, we've analyzed the best features of few mobile apps, and also added few features that can boost your efficiency into one Alexa Skill, and it was called
Uplift Efficiency
.
What it does
Uplift Efficiency is a very user-friendly Alexa skill that you can start using by just saying "Alexa, open Uplift Efficiency" to any supported device.
It consists of 4 main features at the moment.
• Day Planner
• Productivity Timer
• Screen Timer
• Challenges
Day Planner
Organize your day and keep track of the tasks in your day.
Add all the tasks in a typical day including Sleep, Work/School, Sports and Exercises, Leisure and Custom Tasks.
You can add the begin time and the end time for all these tasks, then we'll arrange all the tasks in an order and make it your daily routine.
Then you can set reminders for the tasks in the day plan.
You will be reminded when to begin and end the tasks in your day plan.
Also you can edit the day plan or refer to it at anytime...
Productivity Timer
Boost your productivity by properly organizing your work-break pattern.
You can choose one clock out of the 3 available clocks to begin with.
You can choose between Pomodoro timer, 52/17 timer, Ultradian timer.
After setting one default clock you can tell you work session. (Eg: "Begin a work session of 3 hours and 30 minutes")
Then reminders will be set at every time you need to switch from work to break or break to work.
These reminders are just like any other reminder on Alexa, but they'll be set up automatically.
This feature uses Alexa Conversations in getting the users work session.
Without asking the user, for how many hours do you need the work session? for how many minutes do you need the work session? Alexa Conversations is used to make the skill building easier as well as more natural.
Screen Timer
Take care of your eyes; take a break while using devices with screens.
Similar to the Productivity Timer you can ask Alexa to begin a screen session and you will be reminded every time you've got to take a break and get back to work.
This works according to the 20 20 20 rule, where you take a 20 second break every 20 minutes to look at something which is 20 feet away.
This feature uses Alexa Conversations in getting the users screen session.
Without asking the user, for how many hours do you need the work session? for how many minutes do you need the work session? Alexa Conversations is used to make the skill building easier as well as more natural.
Challenges
5 Day Challenges to boost your efficiency.
Just select a 5 day challenge and get started. Currently only 2 challenges are available, it is the sleep challenge and the leisure challenge.
In the sleep challenge you need to do 5 tasks on 5 consecutive days before sleep.
Whereas is the leisure challenge you need to do the 5 allocated tasks during your leisure time.
More challenges are to be added in the future.
This feature is only available to premium users.
Premium
There is also a premium version.
Features of Premium include:
The Challenges feature.
Can create up to 4 accounts.
More Customization when setting timers etc.
Alexa Conversations within the skill
This skill was built to enter the Alexa Conversations skill challenge.
So we've included the Alexa Conversations feature within the skill.
Using Alexa Conversations indeed made the skill building much more easier as well as more natural.
Currently the features Productivity Timer and Screen Timer use the Alexa Conversations feature to get the user's screen / work session in just one simple phrase. Or if the user doesn't say all the required data, the user will be prompted for them again.
How it was built
Different tools were used to make the skill building easier.
Zapier Integrations were used for some tasks to run.
Google Sheet Integrations were used to store and retrieve most of the data.
The Alexa Developer Console's Display Builder was used to create the UI for devices with screens.
etc.
Challenges we ran into
Day planner: we ran into a problem when trying to create and retrieve data too often within the conversation. Alexa would reply with "The requested skill has an error" It was difficult to solve it so we came up with another solution instead of Google sheets only for that feature.
Productivity Timer and Screen Timer: After an user sets a reminder for the first time the data isn't deleted. Then when the user sets a reminder again the same data of the first time is recurred. Deleting data in Google sheets wasn't possible as too much interactions would prompt users to errors. So, we had to develop it so that if the user has set a reminder already the data needs to be updated and not created again.
Productivity Timer: The pomodoro clock has short sessions, 25 minutes or work and 5 minutes of break, so it was difficult to set a lot of reminders if an user's work session is long. Since it required a lot of reminders we had to limit the work session to a relevant time.
Challenges: There was a difficulty setting up reminders. We needed to calculate the time until the reminders and set it in that manner.
Challenges: Then came up an issue with timezones, because now() in google sheets takes the current time in my timezone, but users are located in different timezones. So we wrote a small code and used an API to get the users timezone. But there was an issue with it, because sometimes it failed and sometimes it was successful. But after some troubleshooting we solved it.
Accomplishments that we're proud of
We're proud about being able to successfully build this Alexa skill.
We've never built an Alexa skill with this much of features before, so it was challenging and we overcame it.
What we learned
We learned a lot in the world of Skill Building.
We're new to this and have just built 2 small skills before. So we learned a lot about skill building.
What's next for Uplift Efficiency
We've planned to launch the skill on Product Hunt as it can bring a lot of users to our skill.
Also we'd be continuing updating this skill adding more features.
#AlexaConversationsSkillChallenge
A project by Somizu. (The team at Somizu)
Built With
amazon-alexa
javascript
json
Try it out
github.com
upliftefficiency.somizu.tech | Uplift Efficiency | Boost your Productivity with Alexa | ['Senuka Rathnayake', 'Sampath Rathnayake'] | [] | ['amazon-alexa', 'javascript', 'json'] | 106 |
10,443 | https://devpost.com/software/my-butler | Inspiration
We were tired of spending several hours searching multiple websites, messaging and calling several service providers when we needed a task or project done at our homes. We wanted something that we could talk to and it just somehow does the scheduling/search for us. Something like a Butler. So, we created MyButla (My Butler in the alexa app store). With MyButla, customers just say the service they need help with and MyButla will immediately handle the scheduling/search for a top quality service provider. Customers can set up a monthly subscription for specific types of services or request for one-time services.
What it does
With MyButler, customers just say the service they need help with and MyButla will immediately handle the scheduling/search for a top quality service provider. Customers can set up a monthly subscription for specific types of services or request for one-time services.
How I built it
We built it using several technologies (Node.js, React) and also using AWS ecosystem of software packages (DynamoDB, Cognito, Alexa Skills Kit, Alexa Conversations).
Challenges I ran into
It was relatively quick to develop the main application itself (ondemand.mybutla.com) but the voice application required some very rigorous testing in order to get the "conversation experience" right. We also faced a lot of challenges passing the certification as we did not account for several edge cases (ending sessions, timezones etc.) but ultimately successfully published the skill (the published skill was called "Travtail Skill" but the new skill "My Butler" is now going through the certification process).
Accomplishments that I'm proud of
Whenever we present the skill to friends, investors or colleagues, you could see how impressed they are that you could request for services using just voice and it works.
What I learned
Test, re-test and test again. There are so many things that could go wrong when customers use voice for transactions (accent, the words they use etc.). Developing some sample phrases for triggering specific actions will also help reduce the likelihood that customers will be frustrated when using the skill.
What's next for My Butler
We believe voice is the future of on-demand services and will continue to improve the skill as we expand our product to other markets. We are currently only in the Nashville market.
Built With
amazon
amazon-alexa
amazon-cognito
amazon-dynamodb
amazon-web-services
lamda
node.js
react | My Butler | MyButla (app name is "My Butler") is a subscription based on-demand services application that enables customers to find service providers for tasks and projects in less than 30 seconds. | ['Joe A'] | [] | ['amazon', 'amazon-alexa', 'amazon-cognito', 'amazon-dynamodb', 'amazon-web-services', 'lamda', 'node.js', 'react'] | 107 |
10,443 | https://devpost.com/software/covid-stats-5irgk2 | Inspiration
I wanted to create a skill that could be beneficial to people seeking information about the global and local counts of Covid-19. Up to date information is easily accessible, but having it available by voice and easily comparable between different countries seemed like a worthwhile endeavor.
It was important to me that it also include extra information for users with a screen in case they wanted more information.
What it does
You can lookup information about Covid-19 with updated information available every 15 minutes. The counts are sourced from multiple locations all around the world. Each search allows you to select up to five different countries to compare and a data type. If you have a screen, then all of the datatypes will be shown as well as other useful information that can help keep you informed and healthy as well as places to donate.
How I built it
I use an external API to source the up-to-date information and a chart creator to generate the chart images on the fly. This let's me display the data in an easy to read and understand format for users so that they have full information at their disposal.
Challenges I ran into
Being able to show the information in a unique and interesting way was a challenge because I wanted to show charts but html is not available. Also, learning the conversations system to build something that is both dynamic and constantly up-to-date was important.
Once I was able to overcome the issue with the graphs and charts, I expanded it to include a lot more information as well as videos and QR codes for users to easily interact with even more information from the CDC.
Accomplishments that I'm proud of
I'm glad that I was able to create something that gives users an easy way to lookup information as well as grants visual users useful charts.
What I learned
I learned how to build conversations to source and display useful data to users. The conversations are an amazing new feature that allows me to pass requests to Alexa to retrieve the data I need to display, and it made building this skill a lot easier.
What's next for Covid Stats
I plan on continually adding more features and improve on the existing features. Right now it allows you to search information at a global level, but I would like to be able to make this more focused to include information from the state level for US users.
Built With
alexa
apl
conversations
java
javaspring
Try it out
alexa-skills.amazon.com | Covid Stats | Up to date information about Covid-19 all around the world, including total cases, death count, recovered patients, and critical cases. | ['Ryan Jordan'] | [] | ['alexa', 'apl', 'conversations', 'java', 'javaspring'] | 108 |
10,443 | https://devpost.com/software/guitar-teacher | Personalized Lesson Recommendations
Video lessons
Step by step instruction
Inspiration
I learned to play piano when I was young, and it has been a gift I've enjoyed ever since. I think it's important for everyone to learn to play music (especially young people). Learning an instrument changes how you think about things, and works out your mind in fun and positive ways.
I was inspired to introduce an Alexa skill to help people learn how to play guitar. It's a great instrument, because it's portable, and relatively inexpensive. If you're just starting out, you don't know where to begin. It can be very intimidating. I thought this would be a great opportunity to create something that would help people on their journey.
What it does
Guitar Teacher is an assistant for anyone learning or playing guitar. If you already play, you can practice with a metronome, search video lessons of your favorite songs and artist, and use the hands-free tuner. For players just learning, there are step by step guided lessons that start from the very beginning.
How I built it
I spent a couple months creating all the visual and audio content. I did this on nights and weekends this summer. Much of the audio and visual content was created by me playing guitar into my laptop, and setting up my phone in front of a green screen for some of the more dynamic effects. It was a LOT of hours, but a labor of love for sure.
Challenges I ran into
It was difficult to debug some issues when I introduced the Alexa Conversations features. There was great support from the community though, the Alexa Conversations Slack group was a life saver.
Accomplishments that I'm proud of
I spent a lot of time on the visual experience. I wanted it to feel very natural when being interviewed, and I think it works well. I wanted to mirror the experience that happens when you take your first lesson. Generally, the instructor will ask a series of questions to determine an approach for you to learn best.
What I learned
I learned that writing a goal oriented dialog is hard. Things like placing and order, or getting recommendations based on your preferences are tasks that would be difficult for a developer to create alone. Using Alexa Conversation, I was able to let Alexa manage the complex interactions and just provide responses to the information collected.
What's next for Guitar Teacher
My dream for Guitar Teacher is that it becomes a popular option for guitar players everywhere. I plan to continue to improve it this year, and provide the best experience possible for users.
Built With
amazon-web-services
jovo
lambda
node.js
Try it out
guitarteacher.conversationcurve.com | Guitar Teacher | A hands-free virtual guitar instructor for guided lessons, and personalized instruction. Great for anyone that wants to learn an instrument, or currently plays guitar. | ['Pete Haas'] | [] | ['amazon-web-services', 'jovo', 'lambda', 'node.js'] | 109 |
10,443 | https://devpost.com/software/sly-exercise | Sly Exercise
Inspiration
We were inspired by the Alexa Conversations API to help us create skills easier and faster.
What it does
Invoke the skill by saying, "Alexa, open Sly Exercise".
After the initial welcome prompt, there are three slots that need to be filled by Alexa Conversations:
workoutLength, workoutType, and intensity.
workoutLength options: short, medium, long
workoutType options: arms, chest, and legs
intensity options: easy difficult
Alexa Conversations will handle slots uttered in one phrase ("I want a long legs workout that is easy")
It will also handle inputting the slots one by one.
It can also handle having two slots filled in by the user ("I want a short arms workout"), followed by a second request for the remaining slot ("I want an easy workout").
Once all slots have been filled, the user will receive a workout response ("I recommend a long walk")
How I built it
We used the Pet Match tutorial as a base for our skill and extended it to fit our needs for a workout app.
Challenges I ran into
The Alexa Conversations training requires a lot of time for the model to build, which decreased iteration time. There were many dialogs that were needed to be created to successfully give the user a response.
Accomplishments that I'm proud of
We are happy that the skill actually works! We also learned a lot about how the Alexa Conversations API worked and simplified user interaction.
What I learned
The Alexa Conversations API is magical, in both positive and negative viewpoints. Delegating control of the skill's workflow can be difficult to debug, especially considering how Intent-based dialog flows are easier to understand.
What's next for sly exercise
We plan to increase the options that users can say to customize their workout. After the contest, we also plan to build out features for account integrations, DynamoDB persistence, and APL visual components such as personal trainer videos. The sky is the limit!
Built With
alexa
ask
conversations
node.js | sly exercise | A foxy workout app that will help you burn calories and design exercise programs for you! | ['Michael N'] | [] | ['alexa', 'ask', 'conversations', 'node.js'] | 110 |
10,443 | https://devpost.com/software/work-from-home-productivity | Alexa Skill in action
Inspiration
I got the inspiration from my daily work-from-home routine (see the photos for details :P)
no makup, hair not brushed, empty cup of coffee
workstation setup in the middle of the living room (the dining table was last used for dinner looong ago)
yoga mat always around to not forget to stretch (very ambitious!)
sunny weather outside but no chance to go out
no idea when was the last time i exercised :)
my daughter's toys all around the place (busy mom! :P)
What it does
The skill will give (or remind) you some tips to boost your work from home (and not only) productivity
How I built it
Trying to keep up with work, keeping the place tidy and keeping the thoughts in order!
Challenges I ran into
Some bugs in Alexa Conversations Beta (i.e. "Nothing" response immediately ends the session - haha!)
Build & Model training is infinetely long - well, gave me some time to do the laundry!
Accomplishments that I'm proud of
I did it in spite of all the challenges!
What I learned
The new in Amazon Alexa: APL/View Responses, Multimodal responses, and of course the Alexa Conversations.
What's next for Work From Home Productivity
UI improvements for which I didn't have enough time: user touch input, lists/links, more tips and better dialog structure.
Built With
alexa
amazon-alexa
amazon-web-services
node.js | Work From Home Productivity - Alexa Skill | Get some Work From Home Productivity tips from Alexa | [] | [] | ['alexa', 'amazon-alexa', 'amazon-web-services', 'node.js'] | 111 |
10,443 | https://devpost.com/software/bmi-calculator-p4anfm | Welcome Screen
Result Screen
Inspiration
To test and learn
What it does
Calculates Body Mass Index (BMI)
How I built it
Built using Alexa conversations and node.js
Challenges I ran into
Understanding Alexa conversations
Accomplishments that I'm proud of
I finished!!!!
What I learned
Alexa conversations
What's next for BMI Calculator
Built With
amazon-alexa
node.js | BMI Calculator | By giving age, gender, height and weight, the BMI calculator calculates the body mass index of the person. | ['serlin benisha'] | [] | ['amazon-alexa', 'node.js'] | 112 |
10,443 | https://devpost.com/software/quoteschat | Logo of my app
My inspiration is my family and It creates a new way to think and find more ways to connect with my family with safety. so I started learning and reading new ways to connect with my family. I faced so many challenges like force of family, learning new skills, and earn for my family. I created a new way to meet the world with safety as a priority. I learned the only thing and that is never given up. I Want to create the safest way of social connection in which everyone is safe i know it is not possible 100% but we can make it 100% with our hard work.
Built With
java
Try it out
play.google.com | Quoteschat | An app which shares your happy moment with everyone | ['Yogendra Dubey'] | [] | ['java'] | 113 |
10,443 | https://devpost.com/software/self-managing-diabetes-for-moms | MomsCode logo
This is designed to inform educational reference - not provide medical advice. You should always consult your doctor when it comes to your health, or before you start any treatment.
Guideline reference for managing GDM :
Kangbuk Samsung Hospital Diabetes & vascular Center in Korea. (
http://kbsmceng.kbsmc.co.kr/jsp/specialized/diabetes.jsp
)
DIABETES CANADA’s guideline (
https://guidelines.diabetes.ca
)
"Self-managing Diabetes for Moms" is an Alexa skill to provide a chance to change into a healthy life. You need to mind various things in life to manage diabetes: eating, exercising, thinking, stuff you need to be aware of, and more.
Health behaviors signify every behavior you do to manage GDM. Recording meals and exercise, steps, stress, sleep, weight, and the blood glucose which is like the result of these health behaviors - that is the first step towards health.
We offer FAQ compiling information on control methods such as basic information, nutrition, and exercises needed for managing GDM as well as answers to the questions you might have. Moreover, don’t miss the information on conditions of the mom and the baby per perinatal period.
MomsCode-Gestational Diabetes Management Service is not for diagnosing or treating illness and is only offered for the purpose of managing health. Information for interpreting health behaviors is based on the guidelines of Korean Diabetes Association and Diabetes Canada.
Built With
amazon-alexa
conversational-ai
lambda
node.js
python | Self-managing Gestational Diabetes [for Moms] | For moms who struggle to manage gestational diabetes, help with voice is on the way. You can try it out by saying "Alexa, start self managing gestational diabetes" | ['San Lee'] | [] | ['amazon-alexa', 'conversational-ai', 'lambda', 'node.js', 'python'] | 114 |
10,443 | https://devpost.com/software/subscription-addiction | Welcome Screen
Box Type Screen
Select Gender Identification Screen
Select Age Group Screen
Box Introduction Screen (Rectangle)
Box Introduction Screen (Circle)
Box Description Screen (Rectangle)
Box Description Screen (Circle)
Help Screen
Good Bye Screen
Inspiration
I was inspired to create a companion app for my YouTube unboxing channel with my sister. There are so many subscription boxes, we don't have the time to review them all. However, we have discovered so many great boxes we believe people should know about. We hope they learn about new subscription boxes, try them, or give them as a gift.
What it does
A user decides if they want a box for a pet, a person, or the box of the week. If the user picks a pet box or box of the week, it will provide the name and an image. If they request a person box, it will ask for the person's gender identification (male, female, or neutral) and age group (baby, child, teen, adult). The skill will provide the user with the correct box for the person of that gender identification and age group. Then, the skill will ask the person if they want more information about that box. If so, the user will get a brief description, a price list, and the website.
How I built it
This code was build using, of course, Alexa Conversations with NodeJS, S3, CodePipeline with CodeBuild, and Bash scripting. Once the dialogs were created, I added utterances, responses, APIs, and slots to help the Machine Learning fill in the information. Next, I wrote the code for the API handlers. After the code work, I created a bash script to build the code and send the code to Lambda. After the skill was added to the Amazon store, I created a CodePipeline. The CodePipeline waits for new code to be pushed to the master branch. After its pushed, it builds the codes and zips it up. The zipped code is pushed to the development Lambda function and to an S3 bucket. Next, the Pipeline waits for Manual approval. This gives me time to listen for any grammar or spelling errors I missed during development. Once approved, the zipped file is copied from S3 and pushed to the production Lambda. With one git push, I can get my code from deployment to test to production.
Challenges I ran into
The first challenge was understanding Alexa Conversations. Normally, I work on code and create intentions as I need them. With Alexa Conversations, coding was last. I had to learn how to create the dialog. From that dialog, you create slots, utterances, responses, and then APIs. Having all the necessary information for an API's helper was a new concept for me. Thankfully, it provided less error checking and less code. Second, understanding the Conversations' error messages. Some messages were ambiguous or hard to understand. With time, practice, and a great Slack channel, I was able to learn about the error messages. Third, trusting Machine Learning. As I stated before, I am accustomed to doing error checking, I had to trust the Machine Learning would fill in the slots as promised for the API's Helper and double back if anything was missing.
Accomplishments that I'm proud of
First, completing the challenge and my skill being accepted on the first try. I was very frustrated in the beginning due to a lack of control. However, I can see that focusing on user experience, instead of predicting user errors, helped me create a skill with better human interaction. For the first time, I was able to put myself in the users' shoes by creating a dialog for them. Because of this challenge,
user first, code second
, will be my new motto.
What I learned
I learned the power of Machine Learning. With Alexa Conversation, I was able to focus on the users, not the code. With less code to write, I made fewer mistakes in development. I spent time mapping my dialogs, interfaces, and responses. Alexa Conversations made me stop and pay attention. The user will no longer be an afterthought to my coding. Oh, and I learned how to use Alexa Conversations. I want to take a look at my old skill and try transferring it to an Alexa Conversation skill.
What's next for Subscription Addiction
Creating two In-Purchasing items. First, in-purchase item is a one-time purchase for sponsors. Sponsors will be featured for a month, week, or day (depending on payment) and added to the beginning, end, and special section of the skill. With the sponsorship, we can create exclusive promo codes for our users. Second, a subscription in-purchase item. The subscription will have a robust database (AuroraDB), where users can search by categories like fashion boxes, cooking boxes, arts & crafts boxes, etc.
Later I would like to add Skill Cards. I wasn't able to create skill cards before the skill was due. However, I would like users to have the information on their Alexa App.
Built With
alexa
alexa-conversations
alexa-skill-kit
amazon-web-services
ask
bash
codebuild
codepipeine
github
json
node.js
npm
s3
vscode
zenhub
Try it out
amzn.to
github.com | Subscription Addiction | This is a companion app to my YouTube unboxing channel with my sister. It will have weekly boxes based on gender and age groups. It will be updated weekly with new boxes for the user to discover. | ['Tiffany Gray'] | [] | ['alexa', 'alexa-conversations', 'alexa-skill-kit', 'amazon-web-services', 'ask', 'bash', 'codebuild', 'codepipeine', 'github', 'json', 'node.js', 'npm', 's3', 'vscode', 'zenhub'] | 115 |
10,443 | https://devpost.com/software/my-best-doctor | Screenshot of Alexa simulator for "diy tips" - ask for a DIY activity
Screenshot of Alexa simulator for "diy tips" - ask for a daily DIY tip
Inspiration
DIY is the best way to save money, reduce waste and find funny activities with the kids at home. As a father of 3 kids, I created this skill for the family. We can find easily an activity or a suggestion that can be useful for everyone.
The DIY activities generate a lot of interest on the web or social networks with a wide range of followers / subscribers: senior, parents and kids. Everyone can find a DIY tip or an activity! With the current context of confinement, DIY is an opportunity to spend good time with all the family.
What it does
The "diy tips" skill provides:
a daily DIY tip based on the knowledge base of DIY tips
a recommendation of DIY activity based on materials and preferences
The skill is using Alexa Conversation in order to guide the user on selecting the best DIY activitiesd through series of questions:
available material
category of DIY: paper artworks. needlework or beauty
selection of recommended activities
At the end Alexa will present a detailed description of the DIY activity to perform.
How I built it
The Font-End is based on Alexa Conversation with a full delegation of the interaction to Alexa Conversation.
The Back-End has been developped in Python using the Pyhton SDK
The Knowledge base is a JSON File
For this first version, the skill is very simple. I am planning to send DIY links by SMS by Twilio and send a card. But I didn't have enough time to finalize the development of these features.
Challenges I ran into
First time that I have developped a Skill. I have learnt the Skill development from scratch through this project. I had to learn everything!
Not easy to understand the Alexa Conversation logic with the definition of a proper dialog management through responses template, dialog acts, utterances set... The build of my dialog has been a challenge with a lot of failed build at the begining.
The language has been a challenge as well because english is not my native language (I am French).
Accomplishments that I'm proud of
I have managed to learn Alexa Skill, prepare myself for the Alexa Skill Builder certificate and deliver a first Skill in less than 2 months!!!
I am proud of involving my kids in building the skill: ideation, test of the skill, preparation of the video...
Opportunity to be part of an hackathon and to interact with a great community through Slack and Twitch.
What I learned
Everything!!! I learned:
the design of a skill (definition of the conversation)
the development of a skill (front-end and back-end)
the submission process
participation of an hackathon with the management of the time constraint
What's next
I am planning a lot of evolutions for the "diy tips" skill:
improve the personalization of the skill
send Alexa cards with the suggested DIY (I didn't have enough time to develop) this feature
link the DIY with TikTok
send a SMS through Twilio with a list of videos / tutorials links
include In-skill Purchase for extended content
improve the customer engagement
Built With
alexa-conversation
python
Try it out
www.amazon.com | DIY tips | You want to save money? To spend some fun time with your kids? To make your own DIY? The DIY tips is the skill for you. You can get a daily DIT tip or get a DIY activity based on your preferences. | ['Joel Farvault'] | [] | ['alexa-conversation', 'python'] | 116 |
10,443 | https://devpost.com/software/givelive-livestream-platform-backed-by-machine-learning | Stand Apart: Together At Home
The Covid19 world pandemic has changed life as we know it. With much of the world social distancing, we are called to distance, but not isolate. It’s difficult to avoid the negative effects of social distancing when we can no longer visit friends and family or go to cultural events like concerts, festivals, and theatre. Behind closed doors we are still social beings; we need to experience each other. Sharing culture is what makes us human.
Give On LIVE! takes immediate action by partnering with one interactive medium, available to everyone with internet connection: LIVEStream. Live-streaming is already the new norm, and we have given it a new home. Our mission is to gather livestream content in ONE place. A portal that fosters connection between humans. The ultimate interactive stage where we can share culture without borders.
Host a LIVEstream or Share your favorite LIVEstream Creator. Post an event on the calendar and share with the world. Give On Live is the guide to discovering, hosting, and playing through virtual social connection that makes us human. We may be called to stand apart for now, but through Give On LIVE, we can be UNITED through LIVEstream.
#GetLIVE & #GiveLIVE
Stand Apart: Together Your Livestream Guide
Inspiration
How can people within communities support each other, and jointly work towards reaching a balanced day?
GiveOnLIVE; a platform building a robust database of livestream resources, plans to transparently and fairly recommend content and host to viewers for the purpose of wellbeing and balance. Each unique viewer has their own individual needs to stay balanced in quarantine. Our hypothesis was that we could make accurate suggestions based on case studies of healthy humans in district categories age, gender, tax bracket, etc... Our challenge was to determine can we build an algorithm with data that contrasts against “ideal” balance of interactive experiences for wellbeing and the new alternative ones offered by our platform in crisis and physical distancing times.
Solution
We are building an application that facilitates the connection and matching between viewers that need engagement in certain areas and creators that can share their talents or resources LIVE!
Interest can be chosen as a profile setting, but the solution allows for interoperability and exchange between LIVEViewers. Viewers can also join cluster based groups. Matching of emotional needs and specific events or Live Hosts/Creators will be improved over time through Machine Learning, and takes into account various input factors based on voice and text recognition.
Once the match is found and a community member helps complete a LIVE, the user can reward the creator by giving them "LIVE Time". LIVE Times are rewarded through a system that is modeled on the concept of mutual credit, to encourage a mentality of paying it forward.
What it does
The GetLIVE algorithm will lead individuals to follow daily content consumption leading to optimal emotional balance. It will also match users by interests and profile encouraging creation of specialty groups. Event categories like Mind, Body, Soul, Covid-19, etc will be further separated into emotional clusters when processing needs or unique viewers and filling their “Discover” space.
#GetPhysical, #GetThinking, #GetLaughs #GetLove #GetSkills #GetFaith #GetMusic #Concerts&Festivals
Our Impact
Our solution aims to mobilize human engagement, encourage wellness and provide insight into the needs of unique viewers. A safe home for livestream creators our AI matching algorithm encourages direct exchange of community members through #GetLIVE & #GiveLIVE Challenges by created by viewers, creators, and sponsors. Through gamification and non-monetary exchange of rewards, we aim to maintain and even increase the motivation of viewers and creators, creating an interactive giving culture. This is further strengthened through mechanisms for recognition and reward.
When it comes to long term impact, we hope to obtain analytics related to SDG Action to improve long term acts within social impact projects, and further encourage proximity and transparency between online marketers and viewers. Jack Dorsey, of Twitter, recently stated in a public event, “There is a clear need for transparency and fairness in the algorithms we create.”
Some of the impacts we will track within the communities using our platform:
Impact on the content choice and sentiment of viewers
Impact on the unemployment rate
Impact on mental illness cases
Impact on behavior and balance from machine learning AI recommendations
A detailed infrastructure and research strategy drafted in submission report.
Our Progress
We started with a Google Form, Public Calendar and a Dream; Bring hope into every home by sharing free resources in ONE easy to navigate guide.
The GLOBAL HACK - April 2020 During the Global Hack we gathered a small rockstar team and built out a simple front-end combining the Google Form and Google Calendar. We built on Wordpress and followed a theme with all the functions of a live streaming platform like YouTube. We kept it very simple, with a home landing page with categories, the full calendar, and submit form. We began recruiting LIVEAdmins to directly input new events following our community rules of engagement.
http://giveonlive.com/submit
The DATA BIO HACK - April 2020 We gathered physicists and data scientists to discover what data could tell us about what activities were available, how people were feeling, and a smart data-driven solution to recommend daily livestream to viewers we had never met. We scoured data sets and created the “Senti-me” aggregator. Using an API over Twitter we triggered collection of key words and posts. Thus we were able to gather, compare and analyze the sentiment of humans in different regions (IP addresses) This helped us to start forming our persona Thomas, an out of work creator and Tara Rose an exchange student living in the heart of the outbreak, Milano, Italy.
The EuVSVirus HACK - April 2020 We have built a mobile app for Android and IOS This has direct integration into the Google Calendar. Users can search the many listings and add to their personal agenda. There is an option to watch “Featured Daily” selections directly from the site. This will be connected to a smart bot, that uses data sets and sociology AI to recommend a curated daily agenda for viewers #MyPandemicSurvivalGuide. Also an option for “Daily Livestream” to an email with the pick of the day.
The Global AI Hackathon - April-May 2020 We have engaged in intensive research of various data sets, sentiment analysis and determined ways to use APIs to build our GetLIVE Wellness Algorithm. We had to pivot from our hypothesis and categories based on types of event to emotions critical to wellness. This allowed us to create more feasible data analysis and integrate into our recommender system. Our global team of scientists and design thinkers had helped to identify the direction for gaining a foundation of data through a beta mobile launch of users in our target and diverse profiles.
World Hackathon Day -
Under submission and HERE
https://github.com/hammedb197/GiveLIVE_AI/tree/master/emotional_detection
S.O.S. Hackathon -
We continue to polish our product and consider decentralized framework and opening up payment rails. We are in process of adding direct donations and payments using not only FIAT through merchant partners, but also our own custom made cryptocurrency peer to peer transfers. We have won Best Woman Led Project in this hackathon. Thank you S.O.S. Hackathon and great mentors from Ethereum Foundation.
Raise-Up Buildathon- July 2020
We begin to consider challenges and scaling including ways to make our database of LIVE content available to viewers with disabilities. We have integrated Alexa Skills so that content in the LIVEstream library can be searchable with voice. We have also added a chat bot to guide audiences to the content they seek. Our research team has compiled Cultural Institutions and City Virtual tours on the Web. We plan to reach out to these institutions directly. They will be able to access their profiles, creat events, and accept donations and ticket sales. This is possible through the Events Calendar plug-in w have installed. Thank you Modern Tribe ( Creator of the software). Our AWS account has details of Alexa Skills, Lex for chatbot, and Amazon Pay integration. Thank you Amazon!
https://github.com/giveonliverepo/aws-raiseup-hack
How we built it
We started with a simple Google Form & Calendar, and added a front-end website built on Wordpress. We began recruiting LIVEAdmins to add events to the calendar and recruit users to niche FB groups related to different categories. We built a back-end aggregator to scrape events off posts on Twitter to start. These events integrate directly to the public Google Calendar and pass through a moderation portal where admins can have access to push to the system or not. This will soon be integrated into a Hyperledger, Sawtooth blockchain infrastructure to allow for decentralized storage of database content. For admins we will make a streamline way to submit livestream recommendations though desktops and and app integratable bots to their own calendar, eventbrite, instagram and youtube accounts.
Challenges
There are endless resources and we need a scalable method to make sure content is appropriate. As we grow the host creator community we will also be challenged by maintaining an open governance that adheres to the rules of engagement. Getting started configuring the web server was challenging. Integrating the different tech and plugins took time and strain. We had to deal with bugs. We were also working on various time zones, so team collaboration challenges. Very grateful to mentors and slack that helped us coordinate all. Customizing features with google integration was limited to google style. We need to consider if we will keep these color and style limitations or later build from scratch. There are many benefits with so many users on google to keep as is, we are analyzing financial of labor and upkeep for staying in Google or customizing a new solution.
Each step of the way we are integrating more sophisticated technology to deal with infrastructure, Blockchain, and for recommendations, wellness and ethics, AI & Machine Learning.
Accomplishments that we're proud of
In 24 days we have been able to go from One person on a mission to 5 Leads to 35 Mission Members.
What we learned
Livestream content, Zoom group webinars and other platforms can take time for viewers to get used to. Both hosts and participants have a learning curve to accessing content. We understand limitations and want to also embed an easy way for guide subscribers to access their livestream from GiveLIVE! app or links from personal google calendar.
What's next for Give On Live
Give, Grow, and Build. We are excited to enter various Hackathons and continue to add value to the community with more features and most importantly the interactive livestream content society needs to stay uplifted in this critical time.
1) Keep filling the now LIVE and PUBLIC resource by recruiting more ambassadors, admins, and tech web scrapers to fill the calendar. Our goal is to have an offering of hope every hour in every cluster.
2) Prepare for beta group for Mobile App Pre-Launch. Integrate various games and incentives to acquire the data sets needed to feed our AI & Machine learning GetLIVE Algo
3) In synchrony with the beta launch, continue with customer validation surveys and focus groups to refine UI/UX and AI functions.
4) Launch Mobile App and seek partnerships for specialized subscription based services like conferencing, VR and immersive experiences to continually enhance and meet viewers needs.
As we work to complete the database architecture MVP, we are satisfied in our results and Mobile App. Through continued research we are confident to create a machine learning GetLIVE! algorithm that will fully integrate with the GiveLIVE interface and content database. We plan to continue collecting data points on emotions, geographies, profiles, and historical wellness case studies to make our GetLIVE Algo even smarter. In a time when the entire world is in desperate need for engagement and relief of dangerous mental health triggers like depression, anxiety and loneliness we are determined to offer this solution. As we seek greater understanding of crisis situations, we know for certain the only cure belongs back to the basics of humanity. GetLIVE Algo, through the GiveLIVE platform will guide viewers at home to #GetPhysical, #GetThinking, #GetLaughs, #GetLove, #GetSkills, & #GetFaith. Together At Home, we will take a stand against Covid19.
Built With
amazon-alexa
amazon-pay
ascend
eventbrite
flutter
hyperledger
lex
python
sawtooth
twitter
youtube
Try it out
www.giveonlive.com
youtu.be | G.O.LIVE! LIVEstream Discovery App *STREAM *PLAY *LOVE | G.O.LIVE! The home of livestream; we match individual viewer needs with great content, encouraging users to #GetLIVE & #GiveLIVE for fun rewards. | ['Chinwendu Maduakor', 'ChristyAna Viva', 'hammedb197 Hammed', 'aradhana chaturvedi', 'Saleem Javed', 'Arjan van Eersel'] | ['The Best Women-Led Team'] | ['amazon-alexa', 'amazon-pay', 'ascend', 'eventbrite', 'flutter', 'hyperledger', 'lex', 'python', 'sawtooth', 'twitter', 'youtube'] | 117 |
10,443 | https://devpost.com/software/animal-kingdoom | Landing Page
Example Like TIGER
Type help to Learn more
Inspiration
This skill idea I got as when I was a child, I was not able to learn spellings in a good way. Now, most of the children learn spellings digitally. Here Alexa came, in India, there is not a good market for Alexa but in the coming 2-3 years, it will increase. Now children will able to learn animal spellings in a very good way and most importantly, their own personal assistant will teach them. It will not only play a major role for Indian students but for foreign students can also learn animal spellings in an excellent way. Later amazon Alexa will also be available in many Indian schools.
So I want to create better and professional educational skills for students.
What it does
The Animal Kingdom is an
educational skill
in which kids can learn spellings of different animals. Children can learn spellings of birds, domestic animals, and wild animals easily. The
touch screen gesture
is also available so that children can use this skill both ways by speaking or by touching the screen.
Through learning the spellings children can also hear the voice of the animals which they learning.
How I built it
I have used, Alexa developer console to make this Alexa skill. I haven't used aws as an endpoint, I used Alexa-Hosted(Python) to create this skill. This whole skill has been created in the python programming language. I used
Alexa Presentation Language(APL)
to create this skill to give a visual way to students to learn the spellings. I have also used
Speech Synthesis markup language(ssml)
to give students a new way and a proper way to learn to spell. Using
ssml
, I have included the voice of animals so that children should have knowledge of the sound of animals and the spellings also. I have also applied a
touch screen gesture
so that if anyone having an Alexa with a screen, can simply touch the animals and get to know the spelling.
Challenges I ran into
The most important challenge was to create this skill user friendly so that small children can use it yourself. Also, APL was some sort of creating problems for me as I don't have enough experience with APL but then also I tried to watch many youtube videos and read Alexa APL documentation. Also when I used to store the images in
aws
, the images were not shown while running the skill. So the stored the all images in
Github
.
Accomplishments that I'm proud of
I'm proud of myself as I have learned APL skills and made this beautiful skill for the children. Also, this skill has a feature of screen touch using APL as I haven't done previously and in this skill, I used the touch screen feature that makes me proud. This skill will help to improve their confidence in
English spellings
and learning English in a very interactive way.
What I learned
I learned a lot about designing a skill aimed at younger children, rather than the general population. I also gained an insight into how to teach younger children - ensuring the language is simple and can get more confidence. It also improved my confidence to create more educational Alexa skills for children and give better education to those who can't afford to study.
What's next for the Animal Kingdom
I will add more
Animals
and also create some categories for animals like
domestic
,
carnivorous
,
omnivorous
, and many more categories to have a better knowledge for students which animal belongs to which animal kingdom. Also, I will add sounds for animals more as more possible. Later I have decided to add small basic
quizzes
for the children.
Built With
alexa
amazon-alexa
apl
json
python
ssml
Try it out
github.com
www.amazon.in | Animal Kingdom | The Animal Kingdom is an educational skill in which kids can learn spellings of different animals. | ['Rahul Sinha'] | [] | ['alexa', 'amazon-alexa', 'apl', 'json', 'python', 'ssml'] | 118 |
10,443 | https://devpost.com/software/tourism-simplified-through-voice-using-alexa | When I tested my skill for the first time.
It is an Alexa skill focused on tourism, primarily tourism in India. The purpose of this skill is to help people to gather various information on different tourist places (especially in Delhi as of now) from Alexa.
This skill will allow Alexa to answer queries like what is the location of a particular spot, what is the best time of the year to visit that spot, what are the special attractions of that place, etc.
Instead of searching all these information from various sources on the Internet, users can simply ask their queries to Alexa and Alexa will answer them.
When the user provides a voice input, Alexa uses its VUI to handle the user input, and it finds out a particular intent which can serve user query. Alexa, after determining the appropriate intent and parameter, sends a request to lambda function.
The lambda function uses appropriate handler to serve the request. The handler actually makes a API call to the above mentioned REST API to get the required data, generates the response and sends it back to Alexa VUI.
I once lead the team of this project in Smart India Hackathon and made a few changes like adding Google distance matrix API to get the location between origin and destination.
There are many thing that I could add like more sample utterances , more tourist spots , progressional response and APL templates to make the skill more interactive.
Built With
alexa
flask
flask-admin
google-distance-matrix
heroku
kit
lambda
node.js
postgresql
python
Try it out
gitlab.com | Tourism Simplified through Voice using Alexa. | It is an Alexa skill focused on tourism, primarily tourism in New Delhi,India. | ['Harsimar Singh Sethi'] | [] | ['alexa', 'flask', 'flask-admin', 'google-distance-matrix', 'heroku', 'kit', 'lambda', 'node.js', 'postgresql', 'python'] | 119 |
10,443 | https://devpost.com/software/simon-says-0ro7nv | Inspiration
Simon Says is a fun game I like to play with my family, so I thought that maybe it would be even more fun if Alexa guided the game instead of all of us having to take turns. So, I set out to use APL and APLA as well as Alexa Conversations to build something that would be unique and different from anything else the store has to offer.
It was important to me that the game be family friendly and entertaining both visually and with audio. If a user only has a speaker, then the game creates a soundscape that is rich and vibrant with background music, pauses, and speech speed modifications. If they have a device with a screen then they get all of that and fun visuals that add a lot of humor and fun to the game.
What it does
There are dozens and dozens of commands that Alexa will string together to play Simon Says. The length of the game will be random, as will the commands themselves. It will, however, ensure that the same body part or action type isn't performed repetitively. For example, it won't do five actions involving your ears in a row.
If you have a screen it will also sync up video content along with what Alexa is saying to list out the commands visually (though it can't be used to cheat!).
How I built it
I used a database to configure the commands and Java as a backed to handle the main logic. Each user begins to game with Conversations and then is passed over to the intent model to loop through how long they would like to play. After each round it prompts the user if they would like to continue or not, and if yes it will trigger a completely new experience with different prompts.
All of the music that is played is fully licensed through Soundstripe or Soundsnap with new music constantly added to make the game feel fresh and alive. The use of dynamic content means you'll never get the same two lists of actions twice and new actions are added as I think of them (or via user suggestion!)
Challenges I ran into
I wanted to have the entire conversation work with APLA and APL in sync which took a lot of work with timing to function correctly.
Accomplishments that I'm proud of
I was able to sync up the video with the APL and APLA simultaneously, which was a huge difficulty that I'm really happy I overcame. Timing it all together and using the APL tick was really useful, and then being able to have background music and more from APLA was icing on the cake.
Another really neat thing I was able to work into the game was prosody. When you play Simon Says, people will usually say it like this:
Slow: "Simon Says"
pause a beat
Fast: "Jump up and down"
With the intent being to trick the opponents by using their talking speed change to catch them off guard. I was able to recreate this effect by using breaks and prosody speeds to slow Alexa down, wait, and then speed her up when giving the commands. I was also able to time out the length of time for users to perform the requested action before starting the next prompt so that users didn't need to give input on each and every action.
What I learned
I learned how to build Alexa Conversation models and how to tie them into an intent model that allows the user to interact in entirely new and unique ways compared to other things I have built. I also learned a lot more about APL and APLA by using a lot of fun elements to create really cool features.
What's next for Simon Says
I plan to add more social content if people play the game, including something that would allow users to play competitively around the world and give little prompts. For example, you could play against other people not in the room with you and find a global winner.
I also intend to add in more conversation elements to allow users to configure the game. For example, maybe they want to wait four seconds between commands instead of two, and maybe they would like to change the voice of who delivers the dialog. Those are features that would lend well to the conversation design to collect and update user settings.
Built With
adobe
alexa
amazon-rds-relational-database-service
apl
apla
character-animator
conversations
java
Try it out
alexa-skills.amazon.com | Simon Says | Play simon says with some friends and let Alexa be the guide! | ['Ryan Jordan'] | [] | ['adobe', 'alexa', 'amazon-rds-relational-database-service', 'apl', 'apla', 'character-animator', 'conversations', 'java'] | 120 |
10,443 | https://devpost.com/software/watch-city-weather | welcome
"What is the weather", showing the latest search result
show the latest search result and recent ones
Inspiration
make a real time weather bot of multi-point and multi-item using a public weather API.
What it does
You can check the latest weather information around the world cities.
Open weather API is used.
How I built it
Initially I tried to use an utterance with double arguments, but the build did not go well. so I set 2 utterances with each 1 argument.
Challenges I ran into
Escape the storm of build errors.
Effectively build a branch in the response.
The javascript code in lambda does not cause an error easily.
Accomplishments that I'm proud of
You can see not only the latest search result but also recent ones
What I learned
How to find a success way in trial and error
Built With
node.js | Watch City Weather | You can check the latest weather information around the world cities. | ['stpete ishii'] | [] | ['node.js'] | 121 |
10,443 | https://devpost.com/software/horoscope-time-premium | Inspiration
I have an interest to astrology and the effects of astrology on the human beings. And, I want to develop an application using Alexa Conversation to learn how to use it. On combination of these two interests, I decided to develop my first Alexa Conversation project for providing horoscope forecast.
What it does
Horoscope Time Premium gives you the horoscope forecast for the sun sign you like for daily, weekly, or monthly basis. All you need is just saying to your Alexa device "Alexa, what's the horoscope?" to start and continuing interactions with your device to let Alexa give you daily, weekly, or monthly horoscope for the sun sign you like.
How I built it
The project is developed using Alexa Conversations to build an experience which enables interactions in a natural, less constrained way.
Challenges I ran into
Since Horoscope Time Premium is my first project which is developed using Alexa Conversations, the challenge is to learn and develop with Alexa Conversations.
Accomplishments that I'm proud of
Having a less constrained interaction/conversation with my Alexa device to learn the daily horoscope for my sun sign and ascendant when I ask Alexa for them is the accomplishment I am really proud of.
What I learned
I learned using Alexa Conversations on my Alexa skill projects.
What's next for Horoscope Time Premium
The next step for Horoscope Time Premium can be to provide horoscope forecasts based on birth charts.
Where to Try
https://www.amazon.com/dp/B08GQ3LYTY
Built With
alexa
alexa-conversations
amazon-alexa
node.js | Horoscope Time Premium | Daily, weekly, and monthly horoscope for sun signs of the zodiac | ['Ece Oktay'] | [] | ['alexa', 'alexa-conversations', 'amazon-alexa', 'node.js'] | 122 |
10,443 | https://devpost.com/software/techie-buddy | Techie Buddy
Inspiration
I'm a software developer and often I feel physical pain after sitting down for a long period of time to code. My friends around me have the same issues and complain they don't have the time to research and experiment which exercises work better. So I created this skill to help software developers take a maximum of 5 minutes to do short yet to the point exercise for better health with a rich curated exercise library. It is helpful for people working from home as well during current Covid-19 situation.
What it does
Provide short and to the point exercise to office workers without equipment and who are short on time but still want to keep healthy and stay away from stress induced by a long time sitting job.
How I built it
Alexa Conversations with Lambda written in NodeJS and Dynamo DB as backend service.
By conversing with the user and gather all necessary parameters, Alexa Conversation sends the request with each defined slot filled with a user input value to the backend and explains the exercise get back to the user.
Challenges I ran into
Annotate the dialogue
Come up with dialogue that has a natural feeling to the user
Pull a large amount of exercise data into the database and curate them to make sure they are effective (I tried them all to rule out the ones takes too much space or too much time)
There's not a good exercise API or database available on the Internet for no equipment fast exercise purpose, most of the APIs and information is workout related.
Mixing Alexa Conversations dialogue flow with intent base flow
Accomplishments that I'm proud of
Completed my first working Alexa Skill
Talk to potential users for real feedback
Built something I can and want to use in my daily life
Know the community around Alexa
What I learned
With Alexa Conversation, I can write the skill with less code compare to intent-based dialogue before
Lambda and serverless framework in general. How it can be very handy to lower the backend cost down
Alexa APL-A inflation is very flexible to build audio responses, I can shift certain workloads from backend to front end. e.g. Lambda doesn't need to return the number of exercise steps for Alexa to render the audio template
What's next for Techie Buddy
Add more short and to the point exercises
Add more personalized recommendations to the user
Have Alexa to guide the user to do the exercise, i.e. add more interactive guidance in between exercise steps
Allow users to filter the exercise based on the level of difficulty and time constraint they are under
Built With
alexa
alexa-conversations
amazon-dynamodb
lambda
node.js
Try it out
github.com | Techie Buddy | People working from home often sit long period of time and experience all kinds of physical discomfort, Techie Buddy helps to mitigate the pain by guiding user with short and to the point exercises | ['Mike Hu'] | [] | ['alexa', 'alexa-conversations', 'amazon-dynamodb', 'lambda', 'node.js'] | 123 |
10,443 | https://devpost.com/software/woodlands-at-warwick | Logo of my skill
Inspiration
This skill is made for families hoping to buy a house in the toll brothers community Woodlands at Warwick. Many parents with children would need to know which school their kids would be attending and the internet is not always reliable. This skill is to replace a salesman sitting there and answering any questions families looking for a new house might ask.
What it does
Currently, Woodlands at Warwick can tell, once given the type of school needed(ex: Public Elementary school) Alexa will provide the school that best fits the description in the area.
How I built it
Using Alexa Conversations and the Alexa developer console I have made this skill.
Challenges I ran into
It was challenging to figure out how to properly use Alexa conversations but with the help of Amazon Developers, I was able to overcome the challenge
Accomplishments that I'm proud of
I have proud of figuring out how to use Alexa Conversations and through this project, I also got more practice in node.js.
What I learned
I have learned the usage of Alexa Conversations and more detailed functions in javascript
What's next for Woodlands at Warwick
Woodlands at Warwick will slowly have different information incorporated into it, such as how far are the nearest police stations and other common questions families looking to buy a house would normally ask the salesperson.
Built With
amazon-alexa
conversations
node.js | Woodlands at Warwick | skill ID: amzn1.ask.skill.9d9b8014-f6d7-421e-bd3b-be7becd63300.This skill gives information to families in the Toll Brothers community Woodlands at Warwick located in Bucks County, PA, USA | ['Alaina Ahuja'] | [] | ['amazon-alexa', 'conversations', 'node.js'] | 124 |
10,443 | https://devpost.com/software/remain-hours | Set time zone and say a future date
Time Zone Setting. New York ST was set.
Time until tomorrow in New York
Current time in New York
Time until October 9th in New York
What it does
Saying a future date, answer the remaining time (days, hours, mins, secs) until the day.
Challenges I ran into
Since new Date() returns London time(UTC), it is necessary to consider the time difference of the place where the skill is used.
Accomplishments that I'm proud of
Once the time zone has been set, it is available permanently and you do not have to set each time.
What I learned
How to deal with date and time as a handler response.
What's next for REMAIN HOURS
Next work is that could aim for a prize.
Built With
node.js | REMAIN HOURS | Saying a future date, answer the remaining time (days, hours, mins, secs) until the day. | ['stpete ishii'] | [] | ['node.js'] | 125 |
10,443 | https://devpost.com/software/my-best-weight | Say your height and weight
Your weight recorded
Your height recorded
Your BMI and best weight
Inspiration
Create an Alexa Conversations skill with two arguments.
What it does
Saying your height and bodyweight, you can see your BMI (body mass index) and your best weight.
Challenges I ran into
How the response can guide the next utterance depending on the situation.
(ex. request height data after getting weight data, or call BMI/best weight result after getting both data)
Accomplishments that I'm proud of
By checking the not-filled argument in handler response, I could set a conditional branch in Alexa responding.
What I learned
Learn how to create Alexa conversations skill and how errors occur during skill building. | MY BEST WEIGHT | KEEP YOUR BODY IN SUITABLE WEIGHT. | ['stpete ishii'] | [] | [] | 126 |
10,443 | https://devpost.com/software/joke-skills | Kolkata fact will helps alot people to know about kolkata
It tells all about kolkata facts
I build it using python
I feel proud to create a fact skill about kolkata
creating alexa skill
Built With
python | Kolkata Facts | This skill contains fact about kolkata | ['Rahul Singh'] | [] | ['python'] | 127 |
10,443 | https://devpost.com/software/chandra-shekar-gudipalli | i just want to make education easy and interesting for kids
Built With
intents
javascript
node.js
Try it out
www.amazon.com | chandra shekar gudipalli | Basic Maths | ['CS ProHub Gudipalli'] | [] | ['intents', 'javascript', 'node.js'] | 128 |
10,443 | https://devpost.com/software/alexa-based-antakshari-system | I have interest in Amazon Alexa
It plays Antakshari
Built it using Alexa skill kit
Challenge I face while publishing
Accomplishments that I'm proud of learning how to form a skill in alexa
What I learned is to work in alexa skill
What's next for Alexa Based Antakshari System is looking upto
Built With
amazon-alexa
node.js
python
Try it out
github.com | Alexa Based Antakshari System | Antakshari will be added as a skill to Alexa. Alexa will have data set of lyrics of songs and will cross check what a person is singing with the lyrics of the matching song present in its database. | ['Lavish Saini'] | [] | ['amazon-alexa', 'node.js', 'python'] | 129 |
10,443 | https://devpost.com/software/inpharmd-your-mobile-drug-information-center | Inspiration
We’re academic drug information centers that respond to healthcare providers' questions with evidence. We came together to form a remote, nationwide network and built technology to access that network with one touch.
Now, Alexa enables us providers' to submit drug information requests with zero touches...completely contactless.
What it does
We take any clinical question, any time, from anywhere- and return a custom, evidence - based response.
How we built it
As pharmacists, we're used to the scientific method. We experiment, learn, then experiment again.
We started with current InpharmD users, asked them how they use Alexa already and how they may imagine using it in a post COVID-19 world. We designed, released, iterated, and after five versions, totally moved the pharmacist out of the pocket and into a voice assistant.
Challenges we ran into
Healthcare is slow. But, this is an advantage as it allows us to take our time and get it right.
Accomplishments that we’re proud of
InpharmD was the fastest growing business in Georgia in 2019.
What we learned
Topping any drug, procedure, or device, the randomized, controlled trial may be medicine’s best invention as it tells us which interventions are safe and effective.
What's next for InpharmD, your mobile drug information center
Now, we invest in artificial intelligence (AI) to optimize our network and voice to make it easier to connect.
Built With
ruby-on-rails
Try it out
inpharmd.com | InpharmD, your mobile drug information center | Healthcare providers submit clinical questions; we return custom evidence so they can make better decisions. | ['aaadvani Advani'] | [] | ['ruby-on-rails'] | 130 |
10,443 | https://devpost.com/software/my-health-report | Inspiration
Due to COVID'19, I choose to implement.
What it does
It gives you the health report of yourself and others if someone will test.
How I built it
Using amazon alexa skill portal, There I decided to implement
Challenges I ran into
Due to COVID'19, I faced so many challenges from different premier colleges.
Accomplishments that I'm proud of
I done in time
What I learned
Programming language and how to complete work in due date.
What's next for My Health Report
Guide to check in daily or weekly or monthly basis.
Built With
amazon-alexa | My Health Report | Save the life, save the Nation | ['Rohit Sansiya'] | [] | ['amazon-alexa'] | 131 |
10,443 | https://devpost.com/software/kami-8dy2op | Kami Computing
Inspiration
We are more connected than ever, yet we are becoming ever more lonely. This modern plague of hidden emotional pain can be alleviated and cured with a heart to heart conversation, between a human and a computer.
What it does
An open domain, unscripted purely generative dialog system. It talks about anything in a free form, natural conversation.
How I built it
Kami is trained and runs in the cloud and is conversing with the user through Alexa.
Challenges I ran into
The
full
list? How about 70 years of failed attempts to pass the Turing test?!
Accomplishments that I'm proud of
Making an AI laugh and cry
What I learned
A language model may have more parameters than stars in the milky way galaxy, but is not as smart as a rat.
What's next for Kami
Beg the Alexa team to make Alexa Conversations full duplex?
Built With
machine-learning
prolog
python
pytorch
Try it out
dev.kamicomputing.com | Kami | Kami is a generative entity, a voice based consciousness that lives inside Alexa | ['Ivan Didur', 'Guy de Beer'] | [] | ['machine-learning', 'prolog', 'python', 'pytorch'] | 132 |
10,447 | https://devpost.com/software/sampark-32za4h | Inspiration
So let us all enjoy every small moment of life
What it does
So this project is to endorse the connections or Sampark(in hindi) that you have with people around you.You can add a bunch of images just to showcase your work,meme , anger or any cool image over at our platform.Everything is backed up by decentralised systems.This is more like a memorial for your future with all the data backed up by blockchain.The storage used here is Skynet(decentralised storage solution) for more information about skynet visit (
https://siasky.net/
)
How I built it
i used Reactjs to make the frontend with react-bootstrap and added the functionality of memorial.sol as my smart contract to take images and store them on my local ethermint node
Challenges I ran into
oh boy i had to go through a lot of bugs like setting up and i started with react native but slowly i realised that an app would not be able to talk to local ethermint node and the rpc links had some issue so i had to change my idea and tech stack in mid hackathon
Accomplishments that I'm proud of
This is my first ever project that i have done alone and with ethermint it was so new experience so i am proud about finishing my project in time
What I learned
i have learnt a lot about nft and a little info into advanced solidity concepts like mapping.
What's next for Sampark
In the future I was going to convert all of these basic images to NFT(non fungible token) so that precious memories are saved and they have an intrinsic value in the future
Did my work on Sampark.sol for making it as nft but was not able to finish it
will try to upgrade the interface(frontend and ui)
adding a crowdfunding feature
Built With
ethermint
metamask
react
skynet
solidity
truffle
web3js
Try it out
github.com
docs.google.com | Sampark | Find ecstasy in life, the mere sense of living is joy enough.So this project is to endorse the connections or Sampark(in hindi) that you have with people around you. | ['https://instagram.com/nexadecimal?igshid=valb7xol5nrn'] | ['Wormhole Award: Best Use of Cosmos to Provide Eth Interoperability with Peggy or Ethermint- 1st Place', 'Community Choice Award'] | ['ethermint', 'metamask', 'react', 'skynet', 'solidity', 'truffle', 'web3js'] | 0 |
10,447 | https://devpost.com/software/clawback-account-in-cosmwasm | CW20 Clawback
Inspiration
Bitcoin Vaults
with covenants and some internal discussions.
What it does
It's a prototype contract code for "clawbacks" of native and CW20 tokens. A clawback works as follows:
There is a "holder" key/account, a "backup" key/account, and a "clawback period" (which determines when the clawback expires).
Within a "clawback period", "holder" can transfer to "holders" / other clawbacks (provided their terms match the outgoing contract: they have the same "backup", "clawback period" is at least as long, and they support the same tokens) or refresh the clawback duration. After the clawback period expires, "holder" can withdraw the tokens.
Within a "clawback period", "backup" can transfer to other holder, refresh the clawback duration or burn the tokens / destroy the contract.
Check out README
or
see this simplified explanation in Google Slides
for more information.
How I built it
With CosmWasm and Rust!
Challenges I ran into
Getting the hang of CosmWasm + time management for other higher priority responsibilities outside the hackathon.
Accomplishments that I'm proud of
It's fairly productive to write smart contracts in Rust.
What I learned
CosmWasm's architecture and tooling.
What's next for CW20 Clawback
Depending on the feedback, there are two possible routes to take:
"native" module: write ADR + implementation for adding account types with this behaviour to Cosmos SDK;
CosmWasm contract improvements: e.g. burning to deposit tokens to the community pool.
Built With
cosmwasm
cw20
rust
webassembly
Try it out
github.com
docs.google.com | Clawback Account in CosmWasm | CosmWasm "clawback" contract of native and CW20 tokens.At least two potential use cases: 1. exchange wallet management protocols;2. cashback reward amendments.Possible to implement in native Gaia too. | [] | ['Gaia Award: Best Go-to-Market for Cosmos Hub (modules)- 1st Place'] | ['cosmwasm', 'cw20', 'rust', 'webassembly'] | 1 |
10,447 | https://devpost.com/software/cosmos-did | demo on youtube
DID document sample
Inspiration
Inspired by
Veres.one
and
Hyperledger Indy
, which are identity system with W3C DID standards running on top of blockchains. But veres-one is using its own blockchain. It's hard to maintain and inter-operate with other networks if you implement your blockchain. With some experience on Cosmos Networks, I prefer to use the Cosmos-SDK with starport as a framework to implement it.
What it does
After many approaches and studies on
Decentralized Identifiers (DID) spec
, I got achievement of having DIDs and DID documents generated from the @cosmos/launchpad. Also try on tendermint/Sig and many other crypto library during the hackathon. It also supports
universal resolver
driver to get resolving DID documents easier.
How I built it
Starport from tenderment is so powerful for building up a cosmos-sdk node with a x/did module available for any other user to start with DID support.
Challenges I ran into
During the trails, I had try to use tendermint/Sig to do the sign and generate the public keys, but it not the same result as cosmos.js or cosmos/launchpad. The biggest challenge is have to use golang and javascript to get same codec and encryption is tough.
Accomplishments that I'm proud of
I can implement DID solution on top of cosmos network very quickly. It's so exciting.
What I learned
So many new thing and technologies I had learn this time, such as to use Runkit to test javascript packages and how to access wallet of cosmos.js and many kind of codes and crypto formats.
What's next for cosmos-did
I will keep working on it. I believe the self-sovereign identify is the future. It still have a lot of thing to do, such as generate verifiable credential, the workflow of verification and the way to issue the claims.
Built With
cosmos-sdk
golang
node.js
starport
tendermint
vue
Try it out
github.com | cosmos-did | An x/did module for the Cosmos SDK framework with a “self-sovereign" digital identity (DID) support. | ['Ming-der Wang'] | ['Gaia Award: Best Go-to-Market for Cosmos Hub (modules)- 2nd Place'] | ['cosmos-sdk', 'golang', 'node.js', 'starport', 'tendermint', 'vue'] | 2 |
10,447 | https://devpost.com/software/sophon | Inspiration
Just as yearn.finance on Ethereum can optimize DeFi's operations, we thought a smart contract on CosmWasm could optimize Staking's operations.
What it does
When funds are deposited into a contract, it will delegate the funds to the validator with the highest interest rate per Redelegate.
How I built it
I wrote a CosmWasm smart contract in Rust and uploaded it to herdernet.
Challenges I ran into
Rust
Interaction between Staking Modules and Contracts
Accomplishments that I'm proud of
We now understand how to run CosmWasm.
What I learned
The Spiciness of Rust
What's next for sophon
complete.
Unfortunately, we didn't make it to completion during this period, so we'd like to aim to complete it first.
Built With
cosmwasm
rust
Try it out
github.com | sophon | Smart Contracts to Optimize Staking like yearn.finance | ['Fujita Takuya', 'mktia ㅤ'] | ['Gaia Award: Best Go-to-Market for Cosmos Hub (modules)- 3rd Place'] | ['cosmwasm', 'rust'] | 3 |
10,447 | https://devpost.com/software/nft-marketplace | Setup connection
List Cosmons
Interact with contract
Approve tx
Inspiration
We have already seen a couple of example implementations of trading NFTs between two accounts, but all of them were on a per-contract basis. That means that for each trade, there was a separate contract which made it hard to know which tokens were actually up for sale and which token was used. This lead us to the idea of providing one central place to put tokens up for sale for maximum visibility of token sales.
What it does
The NFT marketplace provides a generic platform for selling and buying CW721 tokens with CW20 tokens. People can put their tokens up for sale and buy tokens from other sellers.
How I built it
For the sake of simplicity, we've deployed three smart contracts in the hackatom-wasm chain: our marketplace, a cw20-base and a custom cw721-based contract called "Cosmons". Detailed instructions on how to get started are outlined in the README:
https://github.com/BlockscapeNetwork/hackatom_v/blob/master/contracts/marketplace/README.md
Challenges I ran into
One word: Rust.
Accomplishments that I'm proud of
Getting the hang of Rust (kind of).
What I learned
In the process of developing the marketplace contract, we learned Rust and gained some solid experience with CosmWasm.
What's next for NFT Marketplace
The next thing we would like to tackle is the integration of wasmd with peggy, so that we can run smart contracts on both ETH and Cosmos, and add support for NFT tokens in the peggy module.
Built With
cosmwasm
go
rust
Try it out
github.com
hackatom.blockscape.network
github.com
github.com | NFT Marketplace | The marketplace smart contracts provides a generic platform used for selling and buying CW721 tokens with CW20 tokens. | ['Fabian Bockaj'] | ['Galileo Award: Most Creative dAppchain using Cosmos SDK and/or Tendermint (required), With the Option to Use IBC (optional)- 1st Place', 'Gringotts Award: Best DeFi app using Cosmos SDK- 3rd Place'] | ['cosmwasm', 'go', 'rust'] | 4 |
10,447 | https://devpost.com/software/flares | Inspiration
Flares is designed as a payment network. It supports multiple assets and multiple payment scenarios, such as games, dapps, DEX, DeFi, etc.
It is intended to discover the value of all crypto assets.
It's an IBC network.
It's a no-tokens-binding blockchain.
It's a value consensus.
It's a multi to multi contract or module.
What it does
Two Demos
Flares with Game: Sealed Monsters
Flares with Payment&Auctions: Name Service
Future view
How I built it
I use Starport to create the project, and I study cosmos SDK at the same time. Referring to Gaia and other cosmos and tendermint open source projects, and according to the examples (Nameservice and scavenge) on
https://tutorials.cosmos.network/
, I create a sample project for the flares to show interesting usage scenarios. According to the open closed principle of design pattern, I extend module function by wrapping replacement without modifing the underlying code of cosmos SDK directly. Finally,I use BDD test on
https://github.com/onsi/ginkgo
, to do some basic test cases for future development and maintenance.
Challenges I ran into
The development goal of the project is to automatically trigger the automatic operation of flares contract when users transfer money or confirm block height through cosmos SDK. Therefore, it takes me some time to study some cosmos code. And finally, according to the Open closed principle of design pattern, I choose wrap to expand the module function. During the devepopment process, I find that the competition time is not enough. There is a lot to learn for me. I need more time to design, to develope and to debug. Tools such as Starport is useful, but I need more time to practice. I'm not very familiar with photobuf, but thanks to the support of Starport and the generated scripts. /Scripts/protocgen help me a lot also.
Accomplishments that I'm proud of
It's great to achieve my goals. Flares implements the fuctions of basic payments, auctions. In this project, the multi-currency shares the the same game through value consensus . Being able to learn so much in such a short period of time also made me feel very fulfilled. Solving every problem is exciting.
What I learned
Although the project was not able to use rust (I chose stargate and IBC), I studied cosmwasm for a while before the game and developed my own simple program and deployed debugging based on the sample project (
https://github.com/CosmWasm/cosmwasm-template.git
). I practice to use starport and study the architecture of cosmos-sdk during the race. I learn more about the modules and structure of the cosmos-sdk during the development process. Finally, in order to complete the test cases of automated testing, I learned the behavior-driven test framework (BDD test
https://github.com/onsi/ginkgo
) and assembled the code according to the applied module, created a preliminary test case.
What's next for Flares
At first,I hope to implement the fuction of flares to develop an end wallet app that supports multiple crypto assets and can play contract games, support CosmWasm and Ethermint,and launch a test network. In the second phase, I hope to support IBC, DEX, DeFi, and many other decentralization services. I prepare to go online on the production network and provide users with richer, more interesting games and services. Continuously improve the user experience. Farther goals, Is to provide users with rich, interesting games and dapps, for developers to provide easy to maintain the development management platform. I hope to provide developers and users with a secure and decentralized payment network.
Built With
blockchain
cosmos-sdk
golang
ibc
Try it out
github.com | Flares | Flares is designed as a payment network. It supports multiple assets and multiple payment scenarios, such as games, dapps, DEX, DeFi, etc. | ['Feiping Wong'] | ['Galileo Award: Most Creative dAppchain using Cosmos SDK and/or Tendermint (required), with the Option to use IBC (optional)- 2nd Place'] | ['blockchain', 'cosmos-sdk', 'golang', 'ibc'] | 5 |
10,447 | https://devpost.com/software/cosmos20 | APIkit - easily hook API calls into cosmos lifecycle events and queries.
Tests for usage and configuring API calls
Hooking into block lifecycle events
Blockchain app successfully running with module installed
Iterating over configured API calls in the param store
APIkit Cosmos Module
https://docs.google.com/presentation/d/1wH_nOP9g_DoslLTx_OyUIhZq_knqlZqsUC5hPM6v_V4/edit?usp=sharing
The APIkit module (apis) allows interactions with arbitrary api's from your cosmos app using this prebuilt cosmos hub module.
Going after the build a module challenge for the cosmos hackatom contest for increasing Cosmos utility and go to market.
Note this is a prototype/hackathon concept module.
Value adds
Easily make api calls in response to key events such as block starts or ends, arbitrary messages, or ad-hoc queries.
Perform programmatic access to other services such as other blockchains, third party api's (increase interoperability).
Provide a simple interface to configure a set of API-based commands even without detailed knowledge of go http or cosmos. Simply provide the urls and payloads and the module can take care of the rest.
Integrating with your project
Add the /x/apis module to your app
Configure the module with your external API's and desired parameters.
Create subscribers to process emitted events.
Edit or fork the module however you wish.
Running the project
go build -v ./...
Running tests
go test -v ./...
Dev notes
brew install tendermint/tap/starport
starport serve
Useful links
https://www.youtube.com/watch?v=PCSzgJCgwdE
https://cosmos.network/intro
https://github.com/cosmos/cosmos-sdk
https://github.com/tendermint/starport/blob/develop/docs/1%20Introduction/2%20Install.md
https://docs.cosmos.network/master/building-modules/intro.html
https://docs.google.com/document/d/16XTVG6j2TQw53DWjs_QAEBXNFukxRzQohsmL1K3JYVA/edit?usp=sharing
https://tutorials.cosmos.network/
https://five.hackatom.org/resources
cosmos20
is a blockchain application built using Cosmos SDK and Tendermint and generated with
Starport
.
Get started
starport serve
serve
command installs dependencies, initializes and runs the application.
Configure
Initialization parameters of your app are stored in
config.yml
.
accounts
A list of user accounts created during genesis of your application.
Key
Required
Type
Description
name
Y
String
Local name of the key pair
coins
Y
List of Strings
Initial coins with denominations (e.g. "100coin")
Learn more
Starport
Cosmos SDK documentation
Cosmos Tutorials
Channel on Discord
Built With
go
html
javascript
shell
vue
Try it out
github.com | API kit | A prototype API module for cosmos | ['Chris Buonocore'] | ['Galileo Award: Most Creative dAppchain using Cosmos SDK and/or Tendermint (required), with the Option to use IBC (optional)- 3rd Place'] | ['go', 'html', 'javascript', 'shell', 'vue'] | 6 |
10,447 | https://devpost.com/software/affondra | 1
2
3
4
5
6
7
8
9
10
11
12
13
Inspiration
Blockchain is good compatibility with digital assets like none fungible token (NFT), and financial transactions.
What it does
Affondra is a blockchain application using cosmos-sdk that anyone can use when trading NFT items. Users can sell their NFT item peer to peer, and the person who introduce the items can earn affiliate reward in Affondra market.
How I built it
Use starport to build original affondra module
Use Vue.js framework.
Use firebase-related service(firebase storage, firebase hosting, firebase functions)
Starport is really cool tool to start building cosmos-sdk based chain in local environment.
Challenges I ran into
Short time
Accomplishments that I'm proud of
Thanks to the useful framework, we can build nice blockchain application within such a short term.
What I learned
We learned many things through this Hackthon.
Cosmos-sdk
starport
how to create module
how to use firebase
how to use vue.js etc...
What's next for affondra
This is just an beginning.
We will implement more complicated logic using cosmos-sdk!
Built With
cosmos-sdk
firebase
golang
vuejs
Try it out
github.com
affondra.web.app
drive.google.com | Affondra - P2P trading market - | Empower marketing and creditability using blockchain. | ['Eg easy', 'Yuuki Kajihara', 'Jeffry JYammy'] | ['Wormhole Award: Best Use of Cosmos to Provide Eth Interoperability with Peggy or Ethermint- 2nd Place'] | ['cosmos-sdk', 'firebase', 'golang', 'vuejs'] | 7 |
10,447 | https://devpost.com/software/osmosis-itn5vr | Team_Osmosis_meeting
Logo_osmo
Logo_o
Osmosis
You can check the demo page here 👉
https://c-osmosis.com
Keplr extension is required, so please install Keplr if is not installed👇
https://chrome.google.com/webstore/detail/keplr/dmkamcknogkgcdfhhbddcghachkejeap
Balancer meets Interchain Staking
Osmosis is an onchain generalized multi-token automated market maker and a self-balancing weighted portfolio built on the Cosmos-SDK with extendability as a custom staking token design tool for cross-chain incentive alignment, risk diversification, token distribution, and chain valuation by converging DeFi and staking together.
One benefit that a multi-token AMM DEX provides is that it allows a flexible AMM model where token weights, fees, and other parameters can be adjusted according to market conditions and competition. It allows an index fund of Cosmos ecosystem tokens that can be held passively, and also generate interest while providing utility in the form of DEX liquidity within Cosmos.
Inspiration
We extend the idea of the 'index fund' introduced in Balancer's generalized AMM model as a way to use the multi-token pool's LP token as a staking token for a new zone. Similar to how Balancer provided parameterization of the AMM DEX by allowing custom ratios, multiple tokens, and adjustable trading fees, Osmosis leverages the generalized automated market maker as a mechanism to create a customizable staking token for a new zone.
This is a similar idea to 'interchain staking' introduced by Jae Kwon, but uses a very simple mechanism of Balancer + IBC + Non-native token staking to achieve the same goal.
What it does
Osmosis is a 'two birds with one stone' project that:
Provide a very flexible AMM DEX to operate within the Cosmos ecosystem
Allow cross-chain incentive alignment, risk hedging, fair launches to be programmed into the staking token
Generalized Automated Market Maker
Similar to Balancer, Osmosis'
x/gamm
is a multi-token, parameterized automated market maker application. Liquidity pools can be created with up to 8 tokens to specified to different weighted ratios. Liquidity pools can function as an AMM DEX similar to Uniswap, where the average users can interact with the liquidity pool to swap tokens.
Currently, the following features are working:
Token swaps
Calculating swap slippage
Liquidity pool
Create new liquidity pools
Set ratio between tokens (i.e. 40% ATOM / 50% IRIS / 10% KAVA)
Add up to 8 tokens
Add liquidity to existing liquidity pools
Mint LP tokens which represent a share in the liquidity pool
Add liquidity according to the specified ratio
i.e. Add $4 ATOM / $5 IRIS / $1 KAVA for the 40% ATOM / 50% IRIS / 10% KAVA pool
Add single token liquidity
Automatically swapped internally
Withdraw from liquidity pool
Liquidity Pool receives LP token and gives the % share of tokens in the pool
Allow single-token withdrawals by automatically swapping the unwanted tokens internally
Staking LP Tokens
We are merging the DeFi primitive of multi-token AMM and Cosmos proof-of-stake system by allowing the LP tokens (similar to the utility of the BPT token in Balancer) to be used as a staking token for a new zone.
The intent of this is to allow customization and parameterization of a zone's staking token, similar to how balancer allows customization and parameterization of the AMM LP. Currently, a new Cosmos zone (which only allows native zone staking token to be delegated) is fully reliant on the economic characteristics of its own staking token for security. By allowing a custom-designed LP token to be used as a staking token, the creators of the new zone can essentially 'design' its staking token by customizing the GAMM LP pool which the LP token is used for the zone's staking token.
For example, if I want to create a new zone called Network A which wants to:
Align my zone's success to the success of the Hub
Reduce volatility of the staking token
Have my zone's native token have an impact on the voting power of my zone
I can essentially create a '40% ATOM / 30% USDC / 30% zoneToken' pool on Osmosis and use the Osmosis LP token as my zone's staking token.
Because the ATOM accounts for 40% of the voting power of 1 staking token on my zone, the success of ATOMs increases the security of my zone as well. Furthermore, it incentivizes ATOM holders to be more interested in participating in my zone without the common downsides of airdrops (i.e. no skin-in-the-game, price volatility, etc). Also, because 30% of the voting power is derived from a stablecoin my zone's security is relatively more secure against price fluctuations of ATOM tokens and the zone token–which allows a more stable security guarantee. Lastly, because my zone's utlity token can be used as a fraction of the voting power, it provides a level of sovereignty to my zone as well. The best part of this is that the assets that are included as part of the Osmosis pool can be selected according to its characteristics such as economic value, community, fiat liquidity, sovereignty, etc. Furthermore, an additional layer of customizability can be configured by setting each of these asset's Osmosis pool ratios at different weights.
Also, because an LP token can be used to withdraw from the pool, whoever chose to participate in minting the staking token can always choose to exit the pool and receive a portion of their tokens back. This reduces the risk of a token investment going to zero, allowing a more equitable token distribution mechanism.
How I built it
Chain
We choose cosmos-sdk v0.40.0-rc0 (stargate-4) because we wanted to use the cosmos-sdk's latest feature (grpc, protobuf) even though it's incomplete and still in release candidate.
Webpage
We used Typescript&React to build the webpage -
https://c-osmosis.com
,
Keplr extension for account management and transaction signing.
Challenges I ran into
There's no method to send IBC tx on the web page because IBC Transfer Message doesn't support hybrid codec currently. -> We don't support this on the web. Instead, we provide Atom from Osmosis faucet which transferred beforehand.
Accomplishments that I'm proud of
We were proud to be together.😍
What I learned
How to use grpc, protobuf.
What's next for Osmosis
Mainnet launch😉
Built With
cosmos-sdk
golang
react
typescript
Try it out
github.com
twitter.com | Osmosis | - The convergence of DeFi & Staking 1. Provide a multi-token, customizable AMM DEX 2. Allow cross-chain incentive alignment, risk hedging, fair launches to be programmed into the staking token | ['Hye Han', 'JungHwan Tony Yun', '병수 홍', 'qkrwnsgh1288 Park'] | ['Gringotts Award: Best DeFi app using Cosmos SDK- 1st Place'] | ['cosmos-sdk', 'golang', 'react', 'typescript'] | 8 |
10,447 | https://devpost.com/software/quasar-q2wj7c | Inspiration
I was wondering why lending/borrowing protocol does not exist in Cosmos ecosystem. So I tried to make one in couple of weeks studying compound.
What it does
It is a lending/borrowing protocol in a form of cosmwasm contract for now, but I want to extend this to dapps in other blockchains as well.
How I built it
I used Houston, a cosmwasm development framework.
Challenges I ran into
unexpected problems while beta testing houston framework
Accomplishments that I'm proud of
It was interesting to look over how lending/borrowing works in the compound, and studied a lot about interest models.
What I learned
General financial knowledge and interest in money market
What's next for Quasar
getting friends to build together
deployment to cosmwasm supported mainnet
Aggregated interface to lend/borrow across cosmwasm supported blockchains or maybe other blockchains
Integration with other smart contract assets with exponential precision library.
Built With
cosmwasm
rust
Try it out
github.com | Quasar | Quasar provides a new way of using crypto in cosmos ecosystem, which is getting yield as a lender and access to capital by leveraging existing asset as a borrower. | ['Hyungsuk Kang'] | ['Gringotts Award: Best DeFi app using Cosmos SDK- 2nd Place'] | ['cosmwasm', 'rust'] | 9 |
10,447 | https://devpost.com/software/hall-of-fame-urqto2 | LOGO
Inspiration
When we talk about blockchain + gaming, everybody thinks about in-game item portability but what about reputation portability? Gamers build fame in one game but can't take it to another game with them! Inspired by the notorious Warcraft 3 app "WC3 Banlist", I want to build a game agnostic whitelist/blacklist app and unbundle reputation from game publishers & merge it back with the user.
What it does
User logs in to see a list of players they've interacted with within a game. Users can honor them with badges, adding them to a whitelist, or marks them with a "toxic mark" to add them to a blacklist. The lists are privately stored on Cosmos storage. A friend of the user can read the list if the user allows him to.
How I built it
I made the front end using react. I made a new REST-API server using Cosmos SDK. This is a pretty new code by referring to sdk-tutorial. And I added new functions like the Sign Transaction function in Rest SDK API of cosmos SDK. Broadcast Transaction function in REST SDK API of Cosmos SDK, Enhancement a "gift honor prize" function with GUI into Frontend web application. I Updated the model in the backend system.
Challenges I ran into
I learned how to used Rest SDK API. I implemented a new REST API server using Cosmos SDK. I Enhanced "one-click" functionality to create a transaction, and sign to it, broadcast it.
Create transaction exists as Cosmos REST API at this moment, but the sign and broadcast function only exist as Cosmos CLI SDK.
I hacked deep inside of the CLI codes of SignTx and BroadcastTx, and implement it into the server.
Accomplishments that I'm proud of
I am pretty new to Cosmos SDK, but I created a new REST API server using Blockchain and Cosmos SDK. and added new functions to sign transaction and broadcast transaction
What I learned
1.How to create blockchain REST API Server.
2.How to design a model(KV store) into the Cosmos blockchain node.
3.There are many good documents and tutorial codes in Cosmos GitHub.
4.But several functions of go are not available for REST API server.
What's next for Hall of Fame
Build a client for PC that keeps track of users' Minecraft gaming-sessions and who they play with.
Push it to Minecraft players to validate the idea.
Explore Cosmos NFT's & IBC more in-depth.
Implement a Keybase-like identity protocol, so gamers can create a meta-identity tying their discord, twitch and game accounts together.
Built With
blockchain
cosmos
react
Try it out
github.com
github.com
github.com | Hall of Fame | Build fame across games. | ['Rethesh Raghav'] | [] | ['blockchain', 'cosmos', 'react'] | 10 |
10,447 | https://devpost.com/software/zkcosmos | Inspiration
Need for private transactions on blockchains
What it does
Enables private transaction on blokchains
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for ZKCosmos
Built With
cosmossdk
golang
openzkp
rust
Try it out
github.com | ZKCosmos | Cosmos SDK blockchain with privacy enabled | ['Sulejman Sarajlija', 'Sead Banda'] | [] | ['cosmossdk', 'golang', 'openzkp', 'rust'] | 11 |
10,447 | https://devpost.com/software/trustchain | Inspiration
Blockchain can be used to guarantee trust. But there has not been a network specifically aiming at recording promises between people and the trust they share for things which are intangible.
What it does
It allows people to record their promises and gain/lose TRUST tokens based on their performance.
How I built it
Using the CosmosSDK.
Challenges I ran into
Didn't have enough time to complete the project. There were problems with the Vue.JS frontend not being so easy for modifications.
Accomplishments that I'm proud of
I managed to create the blockchain and do the basic interface with it. Creating promises works fine, confirming promises was almost done.
What I learned
I learned a lot about the framework, how blockchains work, and how we can easily interface with them.
What's next for TrustChain
Next is the functionality to keep promises, where the actual reward would be sent to the promise keeper. Also, managing disputes in the system.
Built With
cosmossdk
golang
tendermint
vue
Try it out
github.com | TrustChain | TrustChain - the network where people will give promises to each other and they will be recorded on the blockchain. | ['Georgi Zenopyan'] | [] | ['cosmossdk', 'golang', 'tendermint', 'vue'] | 12 |
10,447 | https://devpost.com/software/rook-multiplayer-conquer-strategy-game | Gameplay
Inspiration
The game is inspired from a few similarly styled game and takes aspects from each of Risk, generals.io and Age of Empires
What it does
Players download and run the binaries. They create accounts and send transactions to the Rook blockchain in order to find other players, vote to begin matches and then carry out game state transitions which are executed by the block chain and sent back to them through the querier.
Game Rules
The game is designed to be played in either teams or as individuals with a large amount of players. Map (a board of tiles) is generated using a determined seed which is the combined input of all the players that are in the game. Each player starts of with their capital and a basic amount of resources. Each turn players choose what move and build actions they want to execute . Players can build an assortment of settlements which are used to create resources and establish a bigger population. These are:
Capital: If you capture all of an opponent's capitals your two teams merge. Produces two population a turn
City: Produces two population a turn. Must upgrade from a town
Town: Produces one population a turn
Farm: Must be placed on land and produces food
Quarry: Must neighbor a mountain tile and produces stone
Lumbermill: Must be placed in a forest and produces wood
Rook: Tower that has three range of sight (population only has 1). If you build a rook near an opponents town, city or capital it stops them from producing any population
The rules of combat are simple. When clashing two populations together the one with the greatest population wins (and is reduced in size by the population of the smaller). Occupying a settlement means that you also get it's resources
Challenges I ran into
I guess just familiarising myself with cosmos sdk modules and the ebiten game engine was enough of a challenge
Accomplishments that I'm proud of
It was nice to get most of the game engine working.
What I learned
A learnt a lot about how the Cosmos SDK works.
What's next for Rook - Multiplayer Conquer Strategy Game
A lot really. It was definitely far more than I imagined but will plan to finish it.
Work includes:
There's still a bit of game logic that needs to be ironed out
Wiring up an rpc server on the client side to broadcast game messages and query for state transitions
Finish the match making aspect of the game. That brings players together
Create algorithms for bots so players can play locally. Most of the local framework has already been designed.
Add a menu and settings to the desktop application
Built With
cosmossdk
ebiten
golang
starport
tendermint
Try it out
github.com | Rook | Multiplayer strategy game. Capture opponent capitals while protecting your own. | ['Callum Waters'] | [] | ['cosmossdk', 'ebiten', 'golang', 'starport', 'tendermint'] | 13 |
10,447 | https://devpost.com/software/goldenstarswap-hyan0p | Inspiration
Our main goal is to build cross-chain lending. So first we have to build a protocol or a bridge between chains to be able to exchange crypto. GoldenStar swap is a demo for this main product, the first two chains we aim to be Ethereum and local chain that built with Peggy.We want to make Peggy a bridge between existing chains
What it does
GoldenStar swap allows you to convert between Erc-20s, ETH on Ethereum to assets in our local chain (that built with Peggy). Currently, GoldenStarSwap can only convert erc20, ETH from Ethereum to local chain and vice versa, however, it will open a door to turn this local chain into an intermediate bridge to be able to swap tokens. between different blockchains.
Architecture
How I built it
Smart Contracts on Ethereum
The set of smart contracts on Ethereum is called by a user to lock ETH and ERC20 Tokens into it
Relayer
After the set of smart contracts on Ethereum successfully locks ETH / ERC20 it issues an event. Relayer captures the event and processes it to get the transaction information in that event and and call to Cosmos chain.
Cosmos chain
Cosmos chain mint a corresponding amount of tokens for the cosmos receiver.
Setup project
1. Make tool
In the project root directory
make
Then create the following folders in
cmd/ebrelayer/contract/generated/bindings/
:
BridgeBank
BridgeRegistry
CosmosBridge
Oracle
Valset
2. Setup cosmos chain
# Initialize the genesis.json file that will help you to bootstrap the network
ebd init local --chain-id=peggy
# Configure your cli to use the keyring-backend test so that you don't need to enter a password
# **_NOTE_** Don't use the test backend on production
ebcli config keyring-backend test
# Add some more configuration to avoid using flags
ebcli config chain-id peggy
ebcli config trust-node true
ebcli config indent true
ebcli config output json
# Create a key to hold your validator account and for another test account
ebcli keys add validator --output json > validator.json
ebcli keys add testuser --output json > testuser.json
# Initialize the genesis account and transaction
ebd add-genesis-account $(ebcli keys show validator -a) 1000000000stake,1000000000atom
# Create genesis transaction
ebd gentx --name validator --keyring-backend test
# Collect genesis transaction
ebd collect-gentxs
# Now its safe to start `ebd`
ebd start
Open new terminal
3. Deploy smart contract to ropsten
In the project root directory
ebcli tx send validator \$(ebcli keys show testuser -a) 10stake --yes
yarn peggy:all
Check Contracts Address
cd testnet-contracts
npx truffle network
Format Result
Network: ropsten (id: 3)
BridgeBank: 0x32f82eeB46ed9c2AA0114e4B961cfcEBF18384Df
BridgeRegistry: 0x14d268ed94340f757b253CdeBd3b3528B83aBdb1
BridgeToken: 0x032A87fa8BA6031A4358213648B5eD5E72813A33
CosmosBridge: 0x86C41cb7CbCC55919dFf52Ac9b8ac84D4ddBE2DA
Migrations: 0x00c3b1ba15c5dD86Cf9253CA6b05e4617eeD3d3E
Oracle: 0xad0023F9ebEF7741F399136F9Ca9276F3028b52B
Valset: 0x1b8E9eBE7685D3d5a6f7Ce012f2e9738cD1E9Ef7
4. Run relayer
ebrelayer generate
ebrelayer init tcp://localhost:26657 wss://ropsten.infura.io/ws/v3/[Infura-Project-ID] [BridgeRegistry-ContractAddress] validator --chain-id=peggy
Open new terminal
5. Transfer money
5.1 Tranfer ETH/ERC20 from Ethereum to Cosmos
Run bellow command to get testuser Address
ebcli query account \$(ebcli keys show testuser -a)
Format result
{
"type": "cosmos-sdk/Account",
"value": {
"address": "cosmos1pgkwvwezfy3qkh99hjnf35ek3znzs79mwqf48y",
"coins": [
{
"denom": "stake",
"amount": "10"
}
],
"public_key": "cosmospub1addwnpepqwpznlktnvxvyxccslnp58janc6zk83huww6aynzq77ur2dvsfskct0atl9",
"account_number": 3,
"sequence": 7
}
}
Transfer ETH
yarn peggy:lock cosmos1pgkwvwezfy3qkh99hjnf35ek3znzs79mwqf48y 1000 eth --network ropsten
Transfer ERC20
yarn token:lockERC20 cosmos1pgkwvwezfy3qkh99hjnf35ek3znzs79mwqf48y 1000 dai --network ropsten
Query Account
ebcli query account \$(ebcli keys show testuser -a)
{
"type": "cosmos-sdk/Account",
"value": {
"address": "cosmos1pgkwvwezfy3qkh99hjnf35ek3znzs79mwqf48y",
"coins": [
{
"denom": "stake",
"amount": "10"
},
{
"denom": "eth",
"amount": "1000"
},
{
"denom": "eth",
"amount": "1000"
}
],
"public_key": "cosmospub1addwnpepqwpznlktnvxvyxccslnp58janc6zk83huww6aynzq77ur2dvsfskct0atl9",
"account_number": 3,
"sequence": 9
}
}
6. Rest server
ebcli rest-server --unsafe-cors
7. Run Client
cd ui
yarn start
Challenges I ran into
The
Coin
data structure in Peggy is not really stable yet so we cannot go beyond the int64 data type, so we cannot transfer more than
10e18
wei per token conversion between Ethereum and Peggychain.Besides, the peggy code currently has a lot of bugs, so we had to fix a lot of small errors in the setup.
Accomplishments that I'm proud of
All the team members tried their best to come up with a product that could compete in a short time. Although the project is just a small use case in the product that we are researching and building, we have worked together to build a complete demo.
What I learned
After completing this project, the entire team has clearly improved their skills in writing smart contracts, know more about how cosmos works through its Peggy-based construction.
What's next for GoldenStarSwap
As mentioned above the goldenstar swap is a demo of the product we are looking to build: Lending cross-chain. We have built a bridge between Harmony and Ethereum (you can check it out:
https://youtu.be/rJkLLacbc_Q
and live project:
https://goldenstarswap.web.app/
), in fact, from which we can develop a bridge between other blockchain platforms by taking etherum as a center, but then there will be a lot of building. bridges between ethereum and other blockchains. Therefore we want to turn peggy into a single intermediary bridge between different blockchain platforms.
Cosmos hub (with native token Atom) Build up an interface for the user to provide liquidity to receive farming tokens.
Connect peggy to blockchain platforms that are structurally similar to ethereum such as Tomochain, Harmony
Built With
cosmos-sdk
golang
peggy
react
smartcontract
Try it out
github.com
goldenstarswap.dotgrid.pro | GoldenStarSwap | GoldenStarSwap brings the easiest way to swap crypto across blockchains. You can swap **ERC-20s**, **ETH** to cosmos chain (Peggy) and vice versa. | ['Trịnh Văn Tân', 'Ngô Văn Nghĩa', 'C9 Tran', 'Kevin Do', 'Le Thanh Cong'] | [] | ['cosmos-sdk', 'golang', 'peggy', 'react', 'smartcontract'] | 14 |
10,447 | https://devpost.com/software/ag | Background
Permission Management with Current Internet Applications
People need to work with others and other organizations. Online collaboration tools empower people to work together on projects. People can invite others to work on the same document collaboratively. Project owners manange read/write permissions to control access to it. In other scenarios, people need to grant permissions to organizations to access their resources, e.g. customers can add credit cards to their PayPal account, so that when they make an online payment, Paypal conduct transactions for them.
Risks
https://en.wikipedia.org/wiki/Credit_card_fraud
"The credit card security code is a safeguard against potential fraud and theft. If someone was able to get a hold of your credit card number via skimming or other means, they’d be out of luck at most websites that require a security code to make a purchase. Essentially, the code is designed to indicate the card is in your possession." From
https://thepointsguy.com/guide/credit-card-security-code/
Solution
More secure and it is under users' control.
Users can authorize an agent to access their resoureces, e.g. tokens. Moreover, they can set a limit. In our example below, user1 authorizes "agent" to transfer less than 10token at a time.
Agents send requests to access users' resources.
Blockchain network will verify the request, if authorization exists with allowed limit. And accept or reject the request accordingly.
Users can revoke the authorization anytime.
Console
agency@agencys-MacBook-Pro agency % agencycli tx agency authorize-agent $(agencycli keys show agent -a) bank 10token --from user1
{base:{options:{keygenFunc:0x48d8d80 deriveFunc:0x48da4a0 supportedAlgos:[secp256k1] supportedAlgosLedger:[secp256k1]}} db:0xc000f53fb0}
before sign: cosmos1k4k3jfj0t530lejpfpxzs2cvjgywspw524mtzr;bank
user1
12345678
PubKeySecp256k1{031FEE010729E090448CED9FE882EA0EACD53AE8CB569EFAA264C3D95F51D4C115}
N���g��#��s�K�^�r*F�n������`X���� ��?&Q6F��w��<'I���+�
{
"chain_id": "agency",
"account_number": "2",
"sequence": "1",
"fee": {
"amount": [],
"gas": "200000"
},
"msgs": [
{
"type": "agency/AuthorizeAgent",
"value": {
"principal": "cosmos1hurvs9p957w8stznqxczrkzp6fn9397klnly2u",
"agent": "cosmos1k4k3jfj0t530lejpfpxzs2cvjgywspw524mtzr",
"scope": "bank",
"limit": [
{
"denom": "token",
"amount": "10"
}
]
}
}
],
"memo": ""
}
confirm transaction before signing and broadcasting [y/N]: y
{
"height": "0",
"txhash": "D7A3A836B59FF44786B338EF9BDA1FD0E785DBE654A6C61B9AA5B34358F9D4B9",
"raw_log": "[]"
}
agency@agencys-MacBook-Pro agency % agencycli q agency list-agency
[
{
"principal": "cosmos1hurvs9p957w8stznqxczrkzp6fn9397klnly2u",
"agent": "cosmos1k4k3jfj0t530lejpfpxzs2cvjgywspw524mtzr",
"scope": "bank",
"limit": [
{
"denom": "token",
"amount": "10"
}
]
}
]
agency@agencys-MacBook-Pro agency % agencycli q agency get-agency $(agencycli keys show user1 -a) $(agencycli keys show agent -a)
{
"principal": "cosmos1hurvs9p957w8stznqxczrkzp6fn9397klnly2u",
"agent": "cosmos1k4k3jfj0t530lejpfpxzs2cvjgywspw524mtzr",
"scope": "bank",
"limit": [
{
"denom": "token",
"amount": "10"
}
]
}
agency@agencys-MacBook-Pro agency % agencycli q account $(agencycli keys show user1 -a)
{
"type": "cosmos-sdk/Account",
"value": {
"address": "cosmos1hurvs9p957w8stznqxczrkzp6fn9397klnly2u",
"coins": [
{
"denom": "token",
"amount": "1000"
}
],
"public_key": {
"type": "tendermint/PubKeySecp256k1",
"value": "Ax/uAQcp4JBEjO2f6ILqDqzVOujLVp76omTD2V9R1MEV"
},
"account_number": "2",
"sequence": "2"
}
}
agency@agencys-MacBook-Pro agency % agencycli tx agency agent-action $(agencycli keys show user1 -a) transfer 1token --from agent
{
"chain_id": "agency",
"account_number": "3",
"sequence": "0",
"fee": {
"amount": [],
"gas": "200000"
},
"msgs": [
{
"type": "agency/AgentAction",
"value": {
"principal": "cosmos1hurvs9p957w8stznqxczrkzp6fn9397klnly2u",
"agent": "cosmos1k4k3jfj0t530lejpfpxzs2cvjgywspw524mtzr",
"action": "transfer",
"amount": [
{
"denom": "token",
"amount": "1"
}
],
"sig": "Tn+cmu+xZ7HJI5i1c5VL67FevHJGCCpG2G6hlpmW8vpgWKHS6OYJ6+8/JgdRNhZGjud3seM8J0m9EeUfwyuCDg=="
}
}
],
"memo": ""
}
confirm transaction before signing and broadcasting [y/N]: y
{
"height": "0",
"txhash": "5F67C540031CD6CD1FF99B8218D09BB97C9739C0E005FABA8A20E889300C329F",
"raw_log": "[]"
}
agency@agencys-MacBook-Pro agency % agencycli q account $(agencycli keys show user1 -a)
{
"type": "cosmos-sdk/Account",
"value": {
"address": "cosmos1hurvs9p957w8stznqxczrkzp6fn9397klnly2u",
"coins": [
{
"denom": "token",
"amount": "999"
}
],
"public_key": {
"type": "tendermint/PubKeySecp256k1",
"value": "Ax/uAQcp4JBEjO2f6ILqDqzVOujLVp76omTD2V9R1MEV"
},
"account_number": "2",
"sequence": "2"
}
}
agency@agencys-MacBook-Pro agency % agencycli tx agency agent-action $(agencycli keys show user1 -a) transfer 11token --from agent
{
"chain_id": "agency",
"account_number": "3",
"sequence": "1",
"fee": {
"amount": [],
"gas": "200000"
},
"msgs": [
{
"type": "agency/AgentAction",
"value": {
"principal": "cosmos1hurvs9p957w8stznqxczrkzp6fn9397klnly2u",
"agent": "cosmos1k4k3jfj0t530lejpfpxzs2cvjgywspw524mtzr",
"action": "transfer",
"amount": [
{
"denom": "token",
"amount": "11"
}
],
"sig": "Tn+cmu+xZ7HJI5i1c5VL67FevHJGCCpG2G6hlpmW8vpgWKHS6OYJ6+8/JgdRNhZGjud3seM8J0m9EeUfwyuCDg=="
}
}
],
"memo": ""
}
confirm transaction before signing and broadcasting [y/N]: y
{
"height": "0",
"txhash": "C6F13B8150C5F1A21CE3BC843CFF14D15ACE1A0C7729B7E822979533921F8073",
"raw_log": "[]"
}
agency@agencys-MacBook-Pro agency % agencycli q account $(agencycli keys show user1 -a)
{
"type": "cosmos-sdk/Account",
"value": {
"address": "cosmos1hurvs9p957w8stznqxczrkzp6fn9397klnly2u",
"coins": [
{
"denom": "token",
"amount": "999"
}
],
"public_key": {
"type": "tendermint/PubKeySecp256k1",
"value": "Ax/uAQcp4JBEjO2f6ILqDqzVOujLVp76omTD2V9R1MEV"
},
"account_number": "2",
"sequence": "2"
}
}
agency@agencys-MacBook-Pro agency % agencycli tx agency deauthorize-agent $(agencycli keys show agent -a) --from user1
{
"chain_id": "agency",
"account_number": "2",
"sequence": "2",
"fee": {
"amount": [],
"gas": "200000"
},
"msgs": [
{
"type": "agency/DeauthorizeAgent",
"value": {
"principal": "cosmos1hurvs9p957w8stznqxczrkzp6fn9397klnly2u",
"agent": "cosmos1k4k3jfj0t530lejpfpxzs2cvjgywspw524mtzr"
}
}
],
"memo": ""
}
confirm transaction before signing and broadcasting [y/N]: y
{
"height": "0",
"txhash": "906EF91E76E2E080379CAB81B9CD4B3CC8BC929C1CD68BA885A35CC4253AC445",
"raw_log": "[]"
}
agency@agencys-MacBook-Pro agency % agencycli q agency list-agency
null
agency@agencys-MacBook-Pro agency % agencycli tx agency agent-action $(agencycli keys show user1 -a) transfer 1token --from agent
{
"chain_id": "agency",
"account_number": "3",
"sequence": "2",
"fee": {
"amount": [],
"gas": "200000"
},
"msgs": [
{
"type": "agency/AgentAction",
"value": {
"principal": "cosmos1hurvs9p957w8stznqxczrkzp6fn9397klnly2u",
"agent": "cosmos1k4k3jfj0t530lejpfpxzs2cvjgywspw524mtzr",
"action": "transfer",
"amount": [
{
"denom": "token",
"amount": "1"
}
],
"sig": "Tn+cmu+xZ7HJI5i1c5VL67FevHJGCCpG2G6hlpmW8vpgWKHS6OYJ6+8/JgdRNhZGjud3seM8J0m9EeUfwyuCDg=="
}
}
],
"memo": ""
}
confirm transaction before signing and broadcasting [y/N]: y
{
"height": "0",
"txhash": "A9F80CD3606043A446546F36377EE901C12627E6DBD767ACC38A2284C861041E",
"raw_log": "[]"
}
agency@agencys-MacBook-Pro agency % agencycli q account $(agencycli keys show user1 -a)
{
"type": "cosmos-sdk/Account",
"value": {
"address": "cosmos1hurvs9p957w8stznqxczrkzp6fn9397klnly2u",
"coins": [
{
"denom": "token",
"amount": "999"
}
],
"public_key": {
"type": "tendermint/PubKeySecp256k1",
"value": "Ax/uAQcp4JBEjO2f6ILqDqzVOujLVp76omTD2V9R1MEV"
},
"account_number": "2",
"sequence": "3"
}
}
Built With
cosmos
go
Try it out
github.com | Agency | Agency - Blockchain Permission Management | ['zen fa'] | [] | ['cosmos', 'go'] | 15 |
10,447 | https://devpost.com/software/ba | Background
What is OAuth
From
https://en.wikipedia.org/wiki/OAuth
, "OAuth is an open standard for access delegation, commonly used as a way for Internet users to grant websites or applications access to their information on other websites but without giving them the passwords."
Basically, users can grant a client application to acquire an access token (which represents a user’s permission for the client to access their data) which can be used to authenticate a request to an API endpoint.
Problems with OAuth
OAuth process is tedious
from
https://tools.ietf.org/html/rfc6749
. Users are redirected back and forth to complete OAuth login.
+--------+ +---------------+
| |--(A)- Authorization Request ->| Resource |
| | | Owner |
| |<-(B)-- Authorization Grant ---| |
| | +---------------+
| |
| | +---------------+
| |--(C)-- Authorization Grant -->| Authorization |
| Client | | Server |
| |<-(D)----- Access Token -------| |
| | +---------------+
| |
| | +---------------+
| |--(E)----- Access Token ------>| Resource |
| | | Server |
| |<-(F)--- Protected Resource ---| |
+--------+ +---------------+
Security concerns
Access tokens must be kept confidential in transit and in storage. Because anyone with the token can access the resource.
Solution - Blockchain Auth (BAuth)
Blockchain is ideal to provide identity service, thanks to public key cryptography and digital signature technology in blockchain.
Users can create Access Token with all necessary information(e.g. Client information, Scope, and Expiration Time) by themselves, and hand it over to clients. After that, clients can build requests and send to Cosmos network, attaching the Access Token. Cosmos application can verify the signature in the Access Token, and take actions only defined in it.
+---------------------------------------------+
| |
| Access Token Created by Resource Owner |
| (including Client, Scope, Signature, etc.) |
+---------------------------------------------+
| |
| Message Sent by Client |
| |
+---------------------------------------------+
Simplified process
+--------+ +---------------+
| | | Resource |
| | | Owner |
| |<------ Access Token ----------| |
| Client | +---------------+
| |
| | +---------------+
| |---------- Access Token ------>| Resource |
| | | Server |
| |<------- Protected Resource ---| |
+--------+ +---------------+
More secure, under control
In comparison to OAuth, the Access Token in BAuth defines who can use this token.
Future Work:
to define signature verification in CustomSigVerify, with gas consumption
to add timestamp and access token validation check
Built With
golang
Try it out
github.com | Blockchain Auth (BAuth) | Secure Authorization Framework on Cosmos | ['zen fa'] | [] | ['golang'] | 16 |
10,449 | https://devpost.com/software/storehopper-a07okc | Inspiration
The need for social distancing and reducing crowds in general has risen at an alarming rate, especially in smaller stores where the risk of Covid-19 or other disease transmissions are high due to their locations in residential areas. Even in a post-COVID-19 scenario, crowd-control at any store is vital to the success of the store. Moreover, there is a lot of time wasted in storing the list of items in your phone's notes or on paper and then reading it out at the store. This also increases physical interaction between the customer and the owner, and thus enhances the risk of transmission.
What it does
An android app to reduce crowd at departmental stores during these different phases of lockdowns by allowing the store owners to update items and peak times regularly, so that the users in that city can get information about the information of nearby stores like crowd strength and item availability.
This project will have the complete system for the mentioned app including user registration, store and store owner registration, item inventory, list requests, etc.
How we built it
The server side is developed using Django and the Django-REST-Framework. An API has been created and hosted on Heroku.
The client-side is an Android app, coded using Android Studio.
Challenges we ran into
We planned on having a geospatial database like PostGIS (a PostreSQL extension) on the backend to store geolocations of the stores, but we were unable to successfully integrate it with the backend and deploy, so we switched to a regular database and stored latitude and longitude manually.
The app also faced some issues with Google Maps.
We were unable to link the backend and the frontend completely, the backend is done and deployed, the user interface and the app is ready, but we could only link the API for user registration and authentication, so the app uses its local database for storing everything else at the moment.
Accomplishments that I'm proud of
The plan for the backend implementation was changed about 6 hours into the hack. But the new plan has been implemented successfully and deployed without error.
The app’s UI has been finished successfully. It can also use the local storage for storing the details currently.
What we learned
This is our first project with multiple modules involved like separate structures for customers and storeowners with stores being substructures. We have learnt to successfully create a functioning API with a decent architecture.
What's next for StoreHopper
We plan on adding an ML aspect to our project to predict peak times in the stores automatically, reducing the need for manual updates and increasing the reliability of the app.
We also plan on having including a dynamic map updated in real time with stores nearby in any given radius.
Built With
android-studio
django
djangorestframework
kotlin
python
Try it out
github.com | StoreHopper | An android app to reduce crowd at departmental stores during these different phases of lockdowns by allowing the store owners to update items and peak times regularly. | ['Hari Prashant', 'Ishan Khandelwal'] | [] | ['android-studio', 'django', 'djangorestframework', 'kotlin', 'python'] | 0 |
10,449 | https://devpost.com/software/code_warrirors-48rcjm | UI
audio player
Inspiration
we inspired by seeing blind people problem to know information about real time objects in front of them.
What it does
It will detect objects and show description of that object and translate into different languages.
How we built it
We built it using tensorflow object detection API, web scrapping, flask.
Challenges we ran into
print detected object class.
Accomplishments that we're proud of
What we learned
We learnt usage of tensorflow object detection API and web scrapping
What's next for Code_Warrirors
Improvement in our project.
Built With
flask
python
tensorflow
Try it out
github.com | Code_Warrirors | Object detection and description | ['Komal pal', 'simran singh', 'Sushmita Ray choudhary'] | [] | ['flask', 'python', 'tensorflow'] | 1 |
10,449 | https://devpost.com/software/quant | We want to enable everyone from novice investors to stock traders, and anyone interested in financial markets, by giving them an online interface where people can harness the power of AI for prediction of the stock prices to help them invest in stock market. We aim to provide an aggregation tool that helps visualize stock trends predicted by multiple forecasting models and compare them with the actual stock price trends. We plan to continually integrate the real-time data as feedback to the models and improve accuracy further.
The backend was built using Node.js and the model was trained on 10 years dataset on Google, Yahoo etc stock prices. The prediction model was developed and trained using tensorflow on a cloud GPU( colab).
Challenges faced by us:
Due to time constraint, we haven't been able to add the real-time data accumulation feature using an API and hence we replaced it with a downloaded dataset. Also, since we did not have access to a good cloud service, hence we are unable to train the model on the fly as of now.
Accomplishments:
As this is our first hackathon, we are proud that we were able to develop and deploy a finished product for the hackthon. We are also proud about the fact that we were able to eliminate a lot of bugs in a very short time.
What I learned:
We developed a good communication skill given the fact that all of us are working remotely. As first time hackers, we gained organizational and planning skills to work out the nitty gritty details of the product
Whats next?
We aim to add more complex state of the art models and also aim to add enhanced visualization and analytics.
Built With
html5
javascript
node.js
python
tensorflow
Try it out
delhi-hacks-2020.github.io | Quant++ | A webapp to help financial investor, analysts or any person involved in stock trading to harness the power of AI to predict and compare the predictions of different forecasting models. | ['Rohan Sirohia', 'Jagriti Sikka', 'Abdul Majed', 'Aashish Sharma'] | [] | ['html5', 'javascript', 'node.js', 'python', 'tensorflow'] | 2 |
10,449 | https://devpost.com/software/induskills | Induskills
Inspiration I have seen them facing problem during this pandemic.
What it does
Matches the job seekers to the recruiter directly
How I built it
Built a website using HTML, CSS, JavaScript, Nodejs and Expressjs.
Challenges I ran into
Matching the workers and job recruiter .
Accomplishments that I'm proud of
We participated in our first hackathon and gave our best to deliver the result.
What I learned
What's next for Induskills
If possible, we will make it uses for the society.
Built With
chatbot
css3
express.js
git
github
heroku
html5
javascript
jquery
mongodb
node.js
Try it out
wild-puce-frog-hat.cyclic.app | Induskills | Providing job to lower skills like welding/sewing/constructor without any third party interference | ['Mohammad Zeeshan', 'Ruchika Muddinagiri', 'SIDsag .', 'Afzal Hussain'] | [] | ['chatbot', 'css3', 'express.js', 'git', 'github', 'heroku', 'html5', 'javascript', 'jquery', 'mongodb', 'node.js'] | 3 |
10,449 | https://devpost.com/software/movie-buff | Popular Movies App
Build Status Codacy Badge Codacy Badge
A simple Android app, that helps user to discover movies.
Features:
Discover the most popular, the highest rated and the most rated movies
Watch movie trailers and teasers
Read reviews from other users
Mark movies as favorites
Search for movies
Offline work
Material design
UI optimized for phone and tablet
Built With
dbdatabase
java
kotlin | Movie-Buff | One platform for checking your popular movies | ['Suraj Sahani'] | [] | ['dbdatabase', 'java', 'kotlin'] | 4 |
10,449 | https://devpost.com/software/rendervax-qpwc12 | Inspiration
covid-19 pandemic
What it does
It scans the Aadhaar Card to dispense the vaccine to the public and maintain a database.-
How we built it
Our project was divided into parts and every member of the team worked on a different part and we merged and combined everything later.
Challenges we ran into
Retrieving the database was also complex as read errors occurred because of inappropriate pass.
Accomplishments that we're proud of
We learnt to work efficiently as a team and complete the task in the given time. It also improved our skills for app development.
What we learned
We learnt how to brainstorm an idea and work by divide the whole project into parts. Overall it improved our skills and efficiency to complete the task in a small duration as a team.
What's next for RenderVax
We are planning to add finger print and face verification to enhance the reliability of our application. We will use Aadhaar API to verify the users if our request for it’s access is approved.
Built With
android-studio
arduino
c++
esp8266
firebase
java
Try it out
github.com | RenderVax | The rationale of this application is to assist the government in supplying vaccines for COVID-19 to every citizen of our country. | ['Komal V', 'Praveen GV', 'Rithick Sibu', 'Rohanth P'] | [] | ['android-studio', 'arduino', 'c++', 'esp8266', 'firebase', 'java'] | 5 |
10,449 | https://devpost.com/software/remo-remote-interview-assist-eolbui | Inspiration
Work from home has become the new normal, how would interview from home sound ? REMO aims at providing an intergrated platform for facilitating the conduction of online interviews. That is where we took inspiration from.
Built With
css
html
javascript | Interview | make interviews easy | ['Namya LG'] | [] | ['css', 'html', 'javascript'] | 6 |
10,449 | https://devpost.com/software/ctrl-alt-hack_serena_raju | Ctrl-Alt-Hack_Serena_Raju
Delhi Hack Entry Team members: Serena Raju and Shivam Gupta
Code repository link
Code Bot Deployment link
Video Link
Inspiration
We see people suffering every day because of the virus. So many people are unaware about the steps to take.
We wanted to give these people guidance on when to seek medical help for physical and mental ailments.
What it does
It provides guidance to people with worries about their mental and physical health.
We know these are trying times. People are panicking and are concerned about the various symptoms they might be facing. The question that arises is, should I go to the hospital? What if I contract the disease there?
But don’t worry, we have a solution! You can talk to salubr.t and it will guide you through a self check up so you clearly understand what must be done.
We know these are trying times. Isolation makes us lonely and this situation has mentally affected a lot of people.
But don’t worry, we have a solution! You can talk to salubr.t and it will guide you through your worries.
How I built
Built the chatbot on RASA framework and used Python language.
Challenges
The data available was a little restricted so we experiened trouble with that
Accomplishments
This was delpoyed in less than 36 hours and we handled a lot of pressure and misunderstandings well.
What I learnt
About RASA
How chatbots are made for organisations and also for social good
What's next
We shall try to deploy the future scopes too
Built With
python
rasa
telegram
Try it out
t.me | Ctrl-Alt-Hack_Serena_Raju | Delhi Hack Entry: Team members: Serena Raju and Shivam Gupta | ['Serena Raju', 'Shivam Gupta'] | [] | ['python', 'rasa', 'telegram'] | 7 |
10,449 | https://devpost.com/software/healthcard | Inspiration
To help people manage their medical reports
What it does
Provides an online repository for our medical reports and details for easy accessibility
How we built it
First, we built the front end of the website. Then, we connected it to the server and a database.We ran the OCR on the reports to recognize the medical tests and show the corresponding values
Challenges we ran into
Storing the values extracted along with test description in the database for future reference but we were not able to deploy it with the website.
Accomplishments that we're proud of
We were able to make a fully functional website and user interface for the users. Also, were were able to implement text recognition on the reports and extract some of the information.
What we learned
Team work
Integrating the website with the database
Image processing
What's next for Health Card
Deploy a fully functional OCR model in the website that would scan any type of medical report.
Built With
css3
html5
javascript
php
python
sql
Try it out
github.com
vinaykumar.host20.uk | HealthCard | A health repository for all your medical reports. | ['varun jain', 'Namita Goyal', 'Shubham Bhardwaj', 'Vinay Kumar'] | [] | ['css3', 'html5', 'javascript', 'php', 'python', 'sql'] | 8 |
10,449 | https://devpost.com/software/sustain-echo-847o0k | Inspiration
We were studying economics, where the topic was scarcity. As we all know, resources are limited and human needs are unlimited, we came up with an idea to create a community for like minded people who want to practice sustainability.
What it does
It is a webapp which helps everyone to practice sustainable living by giving tasks and tips. It rewards you, if you complete the task.
How I built it
we built it using adobe creative suite, html and css
Challenges I ran into
Being from non-tech background, we faced challenges while development of sustain.echo
Accomplishments that I'm proud of
I'm proud of creating a project . We learnt new things while designing this solution.
What I learned
I learnt how to prototype in adobe XD.
What's next for sustain.echo
we want to develop it further and actually make this potential idea available to the users.
Built With
adobe-creative-suite
css
html
Try it out
github.com
xd.adobe.com | sustain.echo | let the earth echo life | ['Simran Hooda', 'Gorja Vasudev'] | [] | ['adobe-creative-suite', 'css', 'html'] | 9 |
10,449 | https://devpost.com/software/dealup | My Dealers
Profile
Dashboard
Our Services
Payment History
Dashboard
Order History
Future Aspects
About, Birth of the idea
Initial development and website building
Login Page
Welcome Page
Inspiration
We were inspired to build this project when we saw that the shopkeepers maintain their records on diaries and chits which are easily misplaced or lost. So in order to keep the records safe, they can store it using our website.
What it does
The website makes your profile and you can manage your payments and orders on it
How we built it
We built it using HTML, CSS, Bootstrap Studio, and Javascript
Challenges we ran into
We faced some issues while coding the website and setting the CSS for it
Accomplishments that we're proud of
We're proud that we built the front end just in the span of this hackathon
What we learned
We learned to use Bootstrap studio efficiently and coding the CSS through it
What's next for DealUp
In the future, we want to add direct payments and orders through our site, order tracking, transaction management using blockchain technology, and chat services between the shopkeepers and the manufacturers
Built With
bootstrap
css
html
javascript
Try it out
github.com | DealUp | Bridging Gaps between the shopkeepers and the manufacturers | ['Vani Chitkara', 'Srishti Singh', 'Astha .', 'priya sharma', 'CHARU TANDAN'] | [] | ['bootstrap', 'css', 'html', 'javascript'] | 10 |
10,449 | https://devpost.com/software/chandra | We plan on developing an application based on Virtual Reality to visualize Earth/Moon. Our application provides an option to select any location on Earth such as Mount Everest or the Saharan desert and the user will be taken to the virtual world of amazing things in an instant. We have special options within the app like simulation of natural phenomenon like an earthquake or a fire, so that the people can be trained in case of any such calamities. And not only that, our app will also provide information about the location where the user virtually goes like the population density, temperature, humidity, and even better the user will get facts like history of the place.
Since the moon is still a site we all are studying and researching about, out app provides the information of the lunar soil, the countries with their satellites on the moon and with the help of motion sensor device called Kinect (xBox- kinet), we can also help people in experiencing the natural effects of the moon such as “GRAVITY ON THE MOON”.
This app will especially help the students. They can actually visualize things written in their textbook rather than just mugging it all up. This will intensify the interest of students and even the general public in the fields of Science, Physics, Geography and Astrophysics.
We are using a virtual environment made in UNITY3D which consists of models created in BLENDER like .fbx file format and the materials in format in .mtl We are using SKYBOX shaders and particle effect, the lens flare will be created using UNITY standard assets the intractable objects and the user movement will be programmed in C#. We are planning to use 360° view and user interaction with KINECT to intensify the user experience with the intractable objects.
For a better economic model we will also be using BLUETOOTH joystick for interaction. Gaze control is added for simplicity and ease for use so the app works without kinect as well. The interaction with models using Gaze control is easier to use making it easy for impaired people to use the application.
Built With
blender
c#
google-cardboard
gyroscope
unity
vr
Try it out
github.com
bit.ly | Chandra | Virtual Reality Based Moon Explorer | ['Ankur Garg', 'Anshuman Singh', 'Chanpreet Singh'] | [] | ['blender', 'c#', 'google-cardboard', 'gyroscope', 'unity', 'vr'] | 11 |
10,449 | https://devpost.com/software/smart-skool | Inspiration
The pandemic has forced many schools to shift to an online mode of teaching. As a result of this, many people are adapting existing tools to their educational needs. However, these existing tools were not made with the purpose of online school. We therefore wanted to create a platform which can be an alternative to in-person school while remaining as similar as possible.
What it does
The Smart Skool platform allows teachers to assign tasks, start classes, take attendance, answer anonymous doubts, and upload useful files and links in an e-library. Once this is done on the teacher's panel, we also have a student panel where students are able to respond to these assignments, ask questions, and interact with their teacher and classmates.
How we built it
This system was first designed on paper, which we then developed using Figma and created with HTML, CSS, Bootstrap, and Javascript for a user-friendly experience. We then combined the student and teacher panels into a single project with the home page and added features such as attendance, which connect both components.
Challenges we ran into
Apart from the challenges of time management and division of labor, we ran into some issues with respect to responsiveness and difficulty deploying our final project to a domain. In between this process though, we faced certain challenges with respect to user interaction and creating customizable spaces for each student or teacher in the schedule and links spaces.
Accomplishments that we're proud of
Despite these challenges, we were able to overcome many of our hurdles and work collaboratively as a team to produce a finished product that we are proud of. One major accomplishment is that we were able to successfully differentiate between the teacher and student panel to display the distinct functionalities for each of them.
What we learned
We learned about the process of UI design and create wireframes and mockups before beginning our project. During the project, we learned about how to integrate multiple people's inputs because, although we were all working with one repository, the division of labor had resulted in various components that had to be smoothly connected in the end, which we were finally able to do and learn how to do so.
What's next for Smart Skool
In the future, we hope to add an authentication system and create a smooth process and workflow for users to go through. After this we would hope to conduct focus group surveys to understand if there are any features that do not work or if there are other features they would be looking to add to further enhance quality and usability.
Built With
bootstrap
css3
html5
javascript
node.js
react
Try it out
ashutoshdash1999.github.io
github.com
www.figma.com | Smart Skool | An online management system that facilitates virtual education. | ['Aanya P', 'https://www.linkedin.com/in/biswajit-dash-20799b175', 'Biswajit Dash', 'Ashutosh Dash', 'Shubham Trivedigreat'] | [] | ['bootstrap', 'css3', 'html5', 'javascript', 'node.js', 'react'] | 12 |
10,449 | https://devpost.com/software/drowsiness-detector-gbpces | Inspiration
After observing the number of accidents I'm day to day life we finally thought to decide to make a drowsiness alert system that not will prevent accidents but help also in finding the location where accidents took place.
What it does
It doesn't allow the driver to sleep if he by mistakenly slept or met an accident there will be an alert of emergency sent to his contact list
How we built it
We build using nodemcu, raspberry-pi, and a flutter mobile app all communicating which each other.
Challenges we ran into
As flutter being a new framework we ran into many challenges like communicating using udp protocol continuously with raspberry-pi.
Accomplishments that we're proud of
We're proud that we completed our project on time.
What we learned
We learned 'Not To Give Up'.
What's next for Drowsiness Detector
Integrating with the Infotainment System
Built With
esp8266
flutter
nodemcu
python
raspberry-pi
Try it out
github.com | Drowsiness Detector | We i.e. VCARE4U are making a drowsiness detector and an app that will help to reduce the no of road accidents occurs due to drivers get dozed off. | ['Divij Chaudhari', 'Raghav Agarwal'] | [] | ['esp8266', 'flutter', 'nodemcu', 'python', 'raspberry-pi'] | 13 |
10,449 | https://devpost.com/software/parkonspot | Today urban areas face tremendous pressure on parking spaces, resulting in many issues such as traffic congestion and disproportionate demand. The number of vehicles have increased many folds in recent years and are rising exponentially today as well. Due to limited space availability and tremendous increase in vehicles, this problem has become a major issue. Today a commuter in Delhi spends over 80 hours every year looking for parking spaces.
ParkOnSpot is an online web application portal where user can search and reserve a parking spot for their vehicle in their desired location and as per their timings. The app will show the user if there is any vacant space available as per there requirements.
Many a times there are areas with less parking space available but there are many houses around the place. Usually these houses have no parking sign even when they are vacant. We provide an option to such people to rent their parking space on an hourly basis. This provides extra income to the house owners and also solves the problem of parking at the same time.
The major challenge was that we need to complete the project in less than 24 hours. Also, communication and coordination is the most important while working in a team. Initially, it was difficult to coordinate with each other and abide by the deadlines but later on, we were able to manage things appropriately.
Also, most of the team members were comfortable in front-end development with basic skills of backend (nodeJS and SQL) so we had to change our plan and made its front end only.
Built With
bootstrap
css
html5
javascript
Try it out
github.com | ParkOnSpot | ParkOnSpot is a web application which can allow the people to reserve their parking spot from home and they need not spend their time in search of it which would prevent havoc at the last moment. | ['chehak agrawal', 'Harshita Raj'] | [] | ['bootstrap', 'css', 'html5', 'javascript'] | 14 |
10,449 | https://devpost.com/software/heads-up-spoilerblocker | Inspiration
With the recent release of many movies that have excellent buildup and hype, being spoiled can really ruin the experience, even if its accidental. With a spoiler blocker, this problem can be easily averted.
What it does
This nifty Chrome extension helps block spoilers by covering text with certain specified keywords. If you want to view a spoiler, simply click on it and the cover will go away.
How I built it
We built this extension using the chrome extension web architecture, combining HTML, CSS, and JavaScript, much like the process of building a regular functional website. We also used Git and GitHub to manage records of our project between team members and to keep track of a working prototype.
Challenges I ran into
To detect text, we had to learn how to implement regular expressions, which was a challenge to learn about. Learning how to use a new framework, the chrome extension architecture, was also a challenge, as was figuring out how to manage Chrome restrictions and rules. We also had to adjust to the different time schedule as we are based in the Eastern Time Zone.
Accomplishments that I'm proud of
That we came together to a team to work through our challenges and made a working product.
What I learned
We learned a lot about the paradigms involved in HTML and JavaScript, and were able to use them to our advantage. We also learned how to work through some of the challenges that came with working remotely.
What's next for Heads-Up: Spoiler Blocker
We aim to further improve and polish this extension so that eventually, we can publish this to the Chrome Web Store for use by the general public.
Built With
css
html
javascript
json
Try it out
github.com | Heads-Up: Spoiler Blocker | Ever want to learn about a TV show or movie or look at something a friend sent you without being spoiled? Use Heads-Up: Spoiler Blocker to block out any spoilers so you can look safely. | ['Sahil Sudhir', 'Maanas Purushothapu', 'Vinnie Khanna', 'Raj Srivastava'] | [] | ['css', 'html', 'javascript', 'json'] | 15 |
10,449 | https://devpost.com/software/apoyo-gxj0fe | Inspiration
Apoyo is a Spanish word meaning "Support."
With the re-kindling of the issue of Mental Health after
the implementation of lockdown, the need to take care of
our Mental health has emerged with as much importance
as the physical health of oneself. Therefore, Team Apoyo has decided to come up with an application that helps user to
help themselves manage their work life but also keep their minds refreshed with
healthy acivities along with some healthy recipes. We're looking to work more and
advance it by making use of technology like Artificial Intelligence to help people
globally to adapt to this new normal by not only keep their health young and fit but
also, their mental health.
What it does
The application conversates with the user to get the user mood.
Once we have obtained information about the user's mood, the app
will question them about what they're looking for ( short healthy
recipes or short activities ) pertaining to the respective mood they've
chosen. It will then showcase activities or recipes they can
try at home that will ultimately also balance out
their day by keeping their minds refreshed.
We're also looking to add on more features as we go
about with the implementation of the same.
How I built it
Using flutter and firebase.
Challenges I ran into
Connecting to the firebase backend, lack of proper documentation/ tutorial after newer updates in firebase, syncing app state and getting random documents from firestore.
Accomplishments that I'm proud of
Making my first flutter app and attending m first hackathon.
What I learned
Teamwork, firebase, async functions.
What's next for Apoyo
Machine learning and new features!
Built With
firebase
flutter
Try it out
github.com
github.com
github.com | Apoyo | App for social and mental welfare in covid situation | ['Suryashankar Das', 'Ashita Shetty', 'Archit Sharma'] | [] | ['firebase', 'flutter'] | 16 |
10,449 | https://devpost.com/software/dream-portal | Submitted by: Ruhee Jain-
ruhj707@gmail.com
Mitali Laroia-
04042001mitali@gmail.com
Inspiration
When the pandemic began, the lockdown started and everything got indoors then the urge to travel, to explore new worlds,the desire to feel free while travelling inspired us to come up with this idea of
ANYWHERE DOOR
and work towards it's development.
We were all beginners at the moment but the will to create something interesting, to be able to live that moment of turning our imagination into reality kept us moving and motivated. When it finally could be made we called it the
DREAM PORTAL
which truly became a source of turning our dreams true, we were able to live that moment of joy and experience life once again!
## What it does
The app which we have created lets the user enter a desired location and then creates a virtual door through which one can enter into the the location virtually and experience that place with a 360° view and also can see the room left behind himself on the other end of the door which makes this project all the way more charismatic.
How We built it
We first started gaining information as to how and what skills were required in our process which took a long time as we were all beginners but we finally came across unity engine and learned how to work on that within three days and also we worked on A-frame to finalize the project. The incorporation of the 360° view gave us a really hard time and we were not able to move forward but after watching a lot of tutorials, we finally made our
DREAM PORTAL
.
Challenges We ran into
When the whole code was prepared and finalized, the task of uploading it to GitHub became really difficult as GitHub would not accept the code as it is so we had to break it into chunks of code and then upload it and that took a lot of time and made us anxious as to what would happen if we were not able to upload the code in time, but in the end we were able to make it and proceed further.
Accomplishments that We're proud of
When we first started we were complete beginners but as we progressed with our work we learnt a lot and have grown as developers. The project that we were able to make, gives me the confidence that we will give a tough competition to others and not only do we strive to compete but also strive to win this hackathon!
What we learned
We learnt a quite a number of things like the Unity Engine, A-frame.
Then we learnt never to give up and keep solving the problem until its resolved. This project not only increased our skills but also our confidence and motivation to keep growing and learning.
What's next for Dream Portal
We Will Create an application in which we will integrate Google Maps with our Idea and whenever the user will search a location, they will be able to experience how it feels to be there! Not only that we will integrate the nearby hotels and stores along with the view of the location. And we will keep updating it further.
Built With
c
c++
html5
objective-c
objective-c++
shell
Try it out
github.com
taj-mahal1.firebaseapp.com
www.canva.com | Dream Portal | A place where imagination meets reality! | ['Ruhee Jain', 'Mitali Laroia'] | ['Most Useful in Real Life'] | ['c', 'c++', 'html5', 'objective-c', 'objective-c++', 'shell'] | 17 |
10,449 | https://devpost.com/software/covitine | our logo
Inspiration
The people suffering with infinite number of problems under the vast domain of COVID and Pandemic!
What it does
In very simple words, we aim to provide remedies of Quarantine Problems faced by folks; by the ones who’ve at some point in their life faced a similar issue, and owing to the fact that it’s a global pandemic, so most of us are facing more or less the same issue, so if some one has any solution, or any life hack, then they can float the same to the person in question.
The potent authorities (ranging from the lowest to the highest ones) can too roll their eyeballs on these issues.
To quote an example, there are many actors, NGOs, etc. who are working for the welfare of the victimized folks and such individuals who are hit upon adversely by the side effects of COVID be it medical, financial, mental, or any of any other domain. Also the patients, the recovered ones can share their experiences, as to what they did, how they did, etc.
Also, there can be sharing of life hacks, immunity booster procedures, discussions over the issues of mental stress, self doubt clearances as to whether one is positive or not? Get a sort of mental therapy wherein the words of the actual experienced people will play the placebo magic and orient the mind of the reader in the best direction possible, thereby dragging him/her out of all the pseudo pits they might have got themselves trapped in and drive them to carry on their lifestyles with a mind where this hotbuzz CORONA rules no more!
How I built it
We used a whole lot of tech stack, worked on a private organisation, and distributed the tasks on the basis of the front and the back ends.
Challenges I ran into
Integrating the Backend and the front end, and providing the extra functionalities on the social media.
Accomplishments that I'm proud of
We worked as a great team, did our tasks on time, and did what we aimed for at time 0.
What I learned
Backend functionalities, and integration of multiple repositories under one, on GitHub Teams.
What's next for COVITINE
Integration of ML models, to keep a check on fake accounts.
Built With
css
database
dependencies
express.js
html5
javascript
monogodb
node.js
Try it out
github.com
github.com
covitine-server.herokuapp.com
bugs403.github.io | COVITINE | COVID + Quarantine Problems: The COVID way of life! | ['Shubham Pandey', 'Samarth Srivastava'] | [] | ['css', 'database', 'dependencies', 'express.js', 'html5', 'javascript', 'monogodb', 'node.js'] | 18 |
10,449 | https://devpost.com/software/mediq-7h4ikf | Sneak peek to App
Inspiration
Present world scenarios in terms of the medical and healthcare facilities bought our attention to the fraud going on in the current market.
Some of the drug manufacturing companies are taking advantage of people not being educated about the drug contents and the side effects
What it does
Being stuck in the lockdown phase and being away from the team was a challenge
People tend to interact together more while they are present in the actual environment rather than the virtual environment. That problem was some how resolved through slack.
The other problem was developing something which is legible while keeping in mind the techs available for use.
Also developing something which is already not present in the market was a big challenge.
While connecting the application for QR detection was on of the issues and feeding the details of most of the chemicals and their uses in each case will be a hideous task.
How we built it
We as a team decided to work on improving the health care facility by educating people about their own well being.
We decide to design an app which focused on reading out the content of chemicals present in a drug and informing people about the side effects of the chemical.
The technologies used in the development of the application are Android studio for the application development and adobe XD for the Graphics and UI development.
Challenges we ran into
Being stuck in the lockdown phase and being away from the team was a challenge
People tend to interact together more while they are present in the actual environment rather than the virtual environment. That problem was some how resolved through slack.
The other problem was developing something which is legible while keeping in mind the techs available for use.
Also developing something which is already not present in the market was a big challenge.
While connecting the application for QR detection was on of the issues and feeding the details of most of the chemicals and their uses in each case will be a hideous task.
Accomplishments that we're proud of
Team work and new learning about the tech we used
What we learned
1.Team work
Android studio
Adobe Xd
What's next for MEDIQ
Considering the development pattern of the world, there surely would be upgradation in the technologies.
Connecting and collaborating with a medical firm will be the top most priority for the time being.
The invention of more drugs would need an update in the data base of the application.
Adding features like consulting a doctor about the particular drug would also be taken into consideration in the upcoming future.
This would not only reduce the fraud done by some of the drug supplying companies but will also enhance the knowledge of a particular being about the drugs and the compositions.
Built With
adobe
android-studio
Try it out
github.com | MEDIQ | med guide for all | ['Karan Kartikeya'] | [] | ['adobe', 'android-studio'] | 19 |
10,449 | https://devpost.com/software/pottercode-bpvacr | Home Page
Inspiration
Acording to the National Education Policy 2020, coding will be taught to students from 6th grade itself. Imagine a 12 years old trying to learn C++. Will they understand iostream or void main? No. The current solutions in the market like Whitehat Jr or Scratch leave much to be desired. Hence, we decided to tackle this problem. We thought, how can we teach coding to children in such a way that it is not overwhelming but interesting? The best way to learn something new, is to associate it with something something you already love. So we created a programming language for what kids and adults love alike! Harry Potter. So we created a Brand New Programming Language for new programmers!
What it does
PotterCode is a programming language with syntax inspired by Harry Potter Universe. The aim is to cultivate an interest in coding and learning programming concepts through applied coding. We have added many many nuances and even taken care of those unfamiliar with Harry Potter, like python like syntax and close resemblance to English language. So the language is easy to understand.
How I built it
We made a PotterCode transpiler, that takes the program as input and converts it to a javascript file. The parser is made using Peg.js and the transpiler is written in javascript. Nodejs takes care of the backend and HTML, CSS, Embedded JS and Bootstrap are used for frontend.
Challenges I ran into
Designing the syntax for a brand new programming language was a colossal task. It took a lot of our time and also the transpiler and the parser did not match each other, creating a huge problem. We also had a few hiccups with custom fonts. In the we didn't give up and come over the problems.
Accomplishments that I'm proud of
The amount of work we did in this small amount of time is our greatest accomplishment. We are really proud of how unique and useful our Idea is.
What I learned
Making a new language is no joke! A lot of theory of computation goes into it. Coming up with a comfortable and welcoming UI taught us about quality of life for the user. Now our concepts are stronger than ever and we have a great project!
What's next for PotterCode
We have built a proof of concept and we'd like to scale it to diffrent themes like Avengers, Shinchan and GOT, to reach an even wider audience.
We would like to add advanced data structures and advanced maths to make it an even more functional.
We would like to add drag and Drop options for a younger audience.
PS:
I really implore the judges to read the documentation.md file or visit the documentation page of our website on local host. To truly understand the beauty of this product, reading documentation is a must.
PPS: If selected for the next round, we will be able to deploy the project in no time!
Thank you very much!
Built With
css
html5
javascript
node.js
peg.js
Try it out
github.com
docs.google.com | PotterCode | An innovative way to teach kids programming! | ['Sunanda Somwase', 'Shivam Rajput', 'Tejas shah'] | [] | ['css', 'html5', 'javascript', 'node.js', 'peg.js'] | 20 |
10,449 | https://devpost.com/software/kisaan-tech | Inspiration
Our inspiration was the hard work that our farmers do daily. Our project aims to ease their work.
What it does
Our project automatically senses the need of water and control the flow/quantity of water supplied to the field.
How we built it
We built it with teamwork and little help of Google.
Challenges we ran into
Our biggest challenge was to link location API to the site to provide real-time information about the temperature and moisture conditions.
Accomplishments that we're proud of
We were finally able to complete everything that we thought we could do. A working model with a site to view it's data.
What we learned
We learned the importance of teamwork and many new skills with the help of our teammates.
What's next for Kisaan-Tech
We'll link the device with the site to show real-time data of the device on the site
Built With
arduino
bootstrap
css
html5
javascript
relay
sensor
Try it out
kisaan-tech.000webhostapp.com
github.com | Kisaan-Tech | Automatic plant/field irrigation system | ['ak79235 Ojha', 'Lakshit Sharma', 'Vaibhav Chopra', 'Ankit Dagar', 'Sanchit Bajaj'] | [] | ['arduino', 'bootstrap', 'css', 'html5', 'javascript', 'relay', 'sensor'] | 21 |
10,449 | https://devpost.com/software/iot-based-covid-19-isolation-monitor-system | Inspiration
What it does
How I built :
It solves the problems that are currently going on the Agricultural sector,some farmers have more experience to find the diseases that occur on the plants, but toady more number of youngsters are going to the Agricultural fields, so he have no experience and new to this condition, when ever the disease attacks the plants, they don't to recognize which kind of attack is ,how to solve? so many questions are facing by these new persons to this field.Finally, we solve this problem, by making a Mobile that works machine learning based on the
Tensorflow model
. It shows the disease of the plant, by simply taking the picture of the plant.
Challenges I ran into
Our challenge is ,Overfitting and Validation Accuracy , first we train the model using very less datasets, so it leads to the Overfitting , then we solve this issue by making large dataset collect from Kaggle.
Another problem is Validation Accuracy ,Because due the model we trained, to solve we use the CNN and increase the epochs.
What I learned
I learned how to deploy the TensorFlow models in various fields.
Built With
android-studio
kaggle
tensorflow
tensorflowlite
Try it out
github.com | Plant Disease Identification | Take a click, Take a Result | ['Hemakumar M', 'Nirmal Kumar'] | [] | ['android-studio', 'kaggle', 'tensorflow', 'tensorflowlite'] | 22 |
10,449 | https://devpost.com/software/blood-bank-uye9m7 | App Front Screen (Login)
Blood Search Screen
Blood Request Screen
Blood Requirements Screen
Signup Error
Inspiration
Usually in a real-life scenario, if someone’s met with an accident and needs blood urgently, his/her family has to contact the nearby blood bank or the hospitals for the specific blood group but due to lack of communication and unforeseen conditions, either the hospital has a shortage of that blood or no amount of blood available and at this point of time it becomes very difficult for the recipient's family members to arrange blood for the recipient and if none of the family members have same blood group then that situation becomes very critical for the recipient.
What it does
By making the Online Blood Bank management system we intend to bridge the gap between the recipient and the donor where we get the donors to register themselves with all the personal information. The recipient may request for blood based on his/her location within a certain radius. From the search results, the recipients may request blood from the donor, where the donor will be notified of the request by an email. If no such blood is found, the recipient can submit a request for that particular blood type, which will be showed in the app front page of users who are within a certain radius from the recipient.
How We built it
We used
Flutter
for the Front end application using the
Dart
language. The backend is made with
Flask
using the
Python
language. Also, we are using
SQLite
for the database. We are using JWT based authorization. Now, you may be wondering why this login is important. Well, we have some future plans for that.
Challenges we ran into
The entire project was somewhat of a challenge to implement. However, my team found ways to deal the most of them so far.
Accomplishments that we are proud of
We worked as a team to go through the project and make it happen. That's this team's biggest accomplishment.
What we learned
We explored new frontiers today and learned the two most important lessons; bugs can occur anytime and production bugs kill the entire system.
What's next for Blood Bank
So, the future plans for Blood Bank are:
Implementing Blood Donor capacity verification, so that the donor is verified by a hospital to be able to donate blood.
Enabling SMS communication to the service.
Further improvements to User Experience and the User Interface
Implementing a Dashboard for Hospitals and Blood Banks to add their stock of blood to the system.
Built With
dart
flask
flutter
python
sqlite
Try it out
github.com | Blood Bank | Having a global blood database. | ['Debdut Goswami', 'Swapnanil Dutta', 'Aniket Mitra', 'Shreeparna Sinha', 'Sayan Kundu'] | [] | ['dart', 'flask', 'flutter', 'python', 'sqlite'] | 23 |
10,449 | https://devpost.com/software/researchhub | Inspiration
During the COVID-19 pandemic, everyone is trying to mitigate its effects and are racing to find the effective vaccine. However, we identified some potential obstacles in this process:
Finding Volunteers
When developing a vaccine, it must be tested in advanced to verify its effectiveness. However, each institution/party involved in the vaccine development post their volunteer registrations on their respective websites. Furthermore, potential volunteers may have a hard time to register as there is no centralized platform. As a result, many decided not to volunteer due to the inconveniences of just trying to register as a vaccine volunteer. This might be time-wasting for the institution(s).
Collecting Funds
There are lots of fundraising attempts on the Internet relating to COVID-19, but they are mostly targeted towards community service (e.g. distributing groceries). When we tried to fundraise to help combat COVID-19, we struggled to find a user-friendly website that allows donors to directly donate to institutions trying to fight the pandemic (e.g. test kit manufacturers, vaccine developers). Even if they do, they expect each donor to donate large amounts of money, which can only be done by wealthy individuals or companies.
From these problems, the idea of ResearchHub was born.
What it does
ResearchHub allows researchers/institutions to post their cases. In their cases, researchers/institutions can either seek volunteers or fundraise. For users like us, users can either sign up for to volunteer for the case or donate a sum of money. The sum of money that each user can pay varies.
How we built it
We built the frontend by using HTML, CSS, and Javascript. We used Node.js for the backend, and we used MongoDB for the database.
Challenges we ran into
Some of us are new to several GitHub features (e.g. pull requests, forks).
Accomplishments that we're proud of
We built the prototype platform in less than 24 hours. We are also proud with the potentials ResearchHub have for the society.
What we learned
We learned more about collaborating via GitHub. We also learned more about ports, servers, and connecting our frontend to Node.js and MongoDB.
What's next for ResearchHub
We are planning to propose our project to researchers so that they will use our platform. To increase effectiveness, we are going to allow researchers/institutions to customize their fundraising/volunteer registration. We are also planning to add a feature where users can share their opinions.
Built With
bootstrap
css
html
javascript
mongodb
node.js
Try it out
github.com | ResearchHub | A platform where researchers and institutions can easily crowdsource for funding and volunteers | ['Manuel Stefan Christopher', 'Rahil Rehan', 'Samarth Asthana', 'Ritika Jaiswal', 'Michael Winailan'] | [] | ['bootstrap', 'css', 'html', 'javascript', 'mongodb', 'node.js'] | 24 |
10,449 | https://devpost.com/software/ayushmann-s1d5bh | Ayushmann
Inspiration
During this time of global pandamic, where we see thousands of death every day , hospitals are the major source of our survival.
It's almost impossible to deal with corona virus at home, whereas hospitals provide continuous availibility of services.Hospitals concentrate scarce resources within well planned
referal networks.Hence the idea of building a desktop application where people all across delhi can find hospitals near them during emergency came in our mind because it is the need of the hour.
What it does
AYUSHMANN is a desktop application that aims at "social good".It provides the details of hospitals around delhi including their phone numbers, addresses, reviews and ratings,
In this user only need to enter their current location and he/she will be automatically directed to the list of hospitals .This application aims at providing faster services to the people
by saving their browsing time during emergency and especially during this covid time.
How I built it
One of us worked on website,another on all the designing and the rest focused on on project execution and writing the code
Challenges I ran into
Firstly , Since our project deals with redirecting the link ,it was difficult for us to attach it because we didn't know how to do that , but we learnt it together.
then we had to browse to collect links of various hospitals around delhi (south ,north,west,east delhi) which was time consuming .Then making website was a major challenge because this was
our first time of making a website. Then atlast designing a logo was also difficult for us. Moreover , we all 5 have different fields of interest in coding, some know c++, some know java whereas some know
python. So this varied knowlegde also posed difficulty but we managed
Accomplishments that I'm proud of
Every single bit of learning
What I learned
Working in this project taught us how to work as a team , where views and opinions of others do not affect the thought process or views of others. We also learnt punctuality and how
growth of one leads to the growth of others. There were times when we got struck while writing a peice of code , at that point we took help from each other and learnt new things.
All in all this experience being our first experience to work as a team was extremely helpful and interesting.
What's next for Ayushmann
Since this project gives details about the hospitals across delhi, we will expand it to other states as well.Moreover we will not only restrict ourselves to hospitals but also provide
information about nearest NGO's , Police Stations , dispensarys as well as veterinary hospitals as well
Built With
css
html5
java
javascript
node.js
Try it out
github.com | Ayushmann | Caring is for calling | ['Palak Chawla', 'Yukta Misra', 'Kanika Aggarwal', 'BHAWNA DAHIYA', 'Sejal Rathi'] | [] | ['css', 'html5', 'java', 'javascript', 'node.js'] | 25 |
10,449 | https://devpost.com/software/your_friend | Homepage
Inspiration
Since we all know how rapidly depression cases are growing year by year leading to major mental illness or suicides.
we all know the major cause of depression is loneliness so we decided to build a website for mentally stressed people. where volunteers can sign up to be a listener providing those stressed souls a friend to cry with or to share problem with without being judged or revealing any identity, hence safe
Tech Stack
PHP
Short Commings
Limited Skill Set
Limited Time to develop UI
Built With
php
Try it out
github.com | Your Friend | A site to curb loneliness and hence depression related suicide | ['Bala Yokesh Mani A', 'Soham Patil', 'Jayant Jain'] | [] | ['php'] | 26 |
10,449 | https://devpost.com/software/fun-school-okdpi3 | EDUCATION IS FUN FOR EVERYONE
EDUCATION IS FUN FOR EVERYONE
EDUCATION IS FUN FOR EVERYONE
Inspiration
1] EDUCATION IN INDIA HAS BEEN A PROBLEM FOR MANY YEARS.
2] IF NOT FOR THE NEW LAWS INDIAN EDUCATION LACKED IN MANY WAYS.
3] KIDS SUFFERED THE MOST, BECAUSE OF SUCH LOW-QUALITY EDUCATION.
4] AT A TIME WHEN MANY OF OUR COUNTRY MEN AND WOMEN LEAD TOP ORGANISATIONS, IT’S A SHAME MOST OF THEM HAD TO LEAVE OUR COUNTRY FOR FURTHER EDUCATION.
5] THE PROBLEM SHOULD BE SOLVED FROM ROOT STAGE, ONLY THEN WE CAN ENSURE SAFE FUTURE
6] KIDS ENACT WHAT THEY SEE AND LEARN FROM OTHERS.
What it does
1] THAT'S WHERE WE INTRODUCE FUN SCHOOL, EDUCATION IS FILLED WITH FUN FOR ALL.
2] THE WEBSITE ALSO HAS ANOTHER SCHOOL CALLED ART SCHOOL FOR KIDS TO LEARN THROUGH DRAWINGS OR PAINTINGS.
3] THE IDEA IS TO GET HOLD OF THE ROOT AND TO CURE IT BEFORE IT AFFECTS THE ENTIRE TREE.
4] KIDS GET TO LEARN, SHARE, AND GROW TOGETHER.
5] BOTH FUNSCHOOL AND ART SCHOOL WILL BRING OUT PRACTICAL APPLICATIONS AND PROBLEM-SOLVING ABILITY IN KIDS AND WILL PREVENT THEM FROM ROTT LEARNING.
Challenges I ran into
DECIDING CONTENT, ADDING CONTENT, FINDING RESOURCES, USING PROPER RESEARCH TO CHECK IF THE IDEA IS OKAY OR NOT.
What's next for FUN SCHOOL
ART SCHOOL IS UNDER CONSTRUCTION, SOON A VIDEO WILL BE MADE AND UPLOADED
Built With
css
html
javascript
Try it out
funschool.netlify.app | FUN SCHOOL | EDUCATION IS FUN FOR EVERYONE | ['Rakshith Ramesh', 'Raji Ramesh'] | [] | ['css', 'html', 'javascript'] | 27 |
10,449 | https://devpost.com/software/attendance-system-with-mask-detection | Inspiration
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Attendance System with mask detection
We all are experiencing the escalating COVID - 19 situation and we are also experiencing the way in which technology is helping us to tackle this. Wearing mask is a precaution that we all are been advised to follow and we all can feel that after wearing mask it is a bit difficult to identify who the person is. Our project aims to detect whether the person at the entrance is wearing mask or not and recognize who the person is, which can help to take attendance of employees or students.
Due to the ongoing pandemic, wearing mask has become a necessity. Everyone is advised to wear a mask at a public place. At places like offices, schools, colleges, etc. attendance systems are already present. We can upgrade those systems to detect masks as well.
This system will not mark the attendance of the concerned person unless he wears a mask. The system will request him/her to wear a mask if the person is not wearing a mask. After the person wears a mask, the system will then detect who the person is and accordingly mark the attendance of that person. The attendance marked can then be used to evaluate monthly data like number of days the person was present, working hours, number of leaves, etc. This data can be used to calculate the salary.
Future Scope:
Our Attendance system with Mask Detection has a great scope of improvement as our topic highlights the problem solving that is associated with current COVID-19.
First thing that is needed is thermal screening, which is only possible when we have a thermal camera and this is the reason we are not able to include thermal screening as a part of our project.
Next thing will be the registration of unknown who are entering the premises.
Then keeping the count of number of people inside the premises at an instant because there are rules of limited entry of people.
To monitor if social distancing is maintained in the queue outside the premises. | Attendance System with mask detection | The project will mark the attendance of the person while he is wearing a mask | ['DHIREN SONEJI'] | [] | [] | 28 |
10,449 | https://devpost.com/software/incognito-vzqp1f | Farmers login id
Farmers app
Shipping center
Date ticker
QR code generator- Shipping center
Collection center
Customer App
Inspiration
Existing food supply chain is not transparent. So we are providing a better food supply chain management.
What it does
An End to End F&V Supply chain Monitoring and Tracking system For ensuring Traceable supply chain and Safe food Supply in markets. System to monitor the quality of perishable food items such as meat, fish, vegetables, Fruits, Milk from other states by tracking it’s entire process right from the production unit, various processing scenarios and then to the retail outlet.
How we built it
The concept of "incognito" encompasses the traceability of food products as they move throughout the supply chain. Supply chain operators including farmers, shipping centers, 3PLS, collection & distribution centers and retailers are expected to examine and control their internal practices and procedures at each stage to guarantee food safety for consumers.
From farm to market is a much longer process to control today because consumers are much further removed from their food sources. Many are unaware of the complex food preservation and transportation process required to deliver them fresh, high-quality foods.
Lucid will serve as an end to end application for ensuring safe food supply in the markets of India and is undoubtedly a boon for our society.
Challenges we ran into
Blockchain implementation
Virtual Communication
Accomplishments that we're proud of
We could develop 75% of the project in a limited time period.
What we learned
New Technologies
What's next for Incognito
Implementing Blockchain
Built With
java
keras
mysql
php
python
Try it out
github.com | Incognito | The Supply Chain & Evolving Food Patterns An End to End F&V Supply chain Monitoring and Tracking system For ensuring Traceable supply chain and Safe food Supply in markets. | ['Mathew Francis', 'Melvin Mathew', 'Joanne Jons', 'DIVYA JOMI'] | [] | ['java', 'keras', 'mysql', 'php', 'python'] | 29 |
10,449 | https://devpost.com/software/minus-infinity | minus-infinity
Team members: Ayush dixit , Harshit
Built With
html
javascript
react
Try it out
awesome-villani-4b2228.netlify.app | minus-infinity | team members: Ayush dixit , Harshit | ['Harshit Kumar', 'minecraftdixit dixit'] | [] | ['html', 'javascript', 'react'] | 30 |
10,449 | https://devpost.com/software/exam-surveillance-system | Automated Exam Surveillance System
Inspiration
Due to covid crisis it has become mandatory to conduct examinations online therefore this system is developed to monitor the students giving examinations online and to detect malpractices
What it do
Detect malpractices which are done by students giving online examinations
How I built it
Face recognition was done using Open-cv the same was used for marking the attendance of the students after the model was trained
Challenges I ran into
Small movements were neglected and drastic changes in posture or prolonged posture were considered
Accomplishments that I'm proud of
System was developed for above mentioned problems taking into consideration all the mentioned cases
What I learned
We learned to developed model for attendance marking also incorporating face detection wearing masks
What's next for EXAM SURVEILLANCE SYSTEM
Can be implemented in smart classrooms after covid
Built With
keras
opencv
python
tensorflow
tkinter
Try it out
github.com | AUTOMATED EXAM SURVEILLANCE SYSTEM | SAFE AND EFFICIENT EXAMS | ['ADITYA GURNANI', 'TEJAS DHOPAVKAR', 'OMKAR MANE', 'KRISH AMESUR', 'ADVAIT NAIK'] | [] | ['keras', 'opencv', 'python', 'tensorflow', 'tkinter'] | 31 |
10,449 | https://devpost.com/software/contestcal | Welcome to ContestCal
GIF
The UI
ScreenShot-1
ScreenShot-2
ScreenShot-3
Inspiration
So, the inspiration came from the ongoing COVID19 Pandemic due to which, to be honest, Our lives have kinda stopped. In such a time, people are unable to decide what to do. I mean, I myself am confused about what to do. Now rather than doing something, many of us are wasting our time thinking about "What to do?". So, in order to make it easy for ourselves, we developed this so that you can organise your activities and manage your time well.
What it does
Allows users to view all the Coding Events and
Hackathons on premier platforms like CodeChef, CodeForces, HackerEarth, etc..
Allows the user to add the events in the Calendar by choosing either a particular category or choosing them all.
The Calendar in turn provides notification to the user and helps in managing time.
How I built it
For Backend we used Flask with MVC architecture.
We used High-Quality Database with Postgres.
We created a Configurable RESTful API’s reusable for any other application: mobile software.
Greatly streamlined user-experience with React
We added Google calender API feature
Heroku is used as cloud hosting provider.
Challenges I ran into
The main challenge was integration of front-end and back-end since we divided those part among us. Rest all was fine. Thinking about the layout and all was too time consuming.
What I learned
The Environment, got to know new people, and the motivation may help you to find alternative solutions with new technologies.We have learned that
cooperation
is essential for a successful group project, particularly during a quarantine period, where smart working is the only way to be together.
What's next for ContestCal
Adding vscode to our project to create an integrated coding environment.
Project Link
https://github.com/Delhi-Hacks-2/Team-RVGeeks
Our Website
http://contestcal.herokuapp.com/
Contributors
Abhiroop Saha(Lead)
Ayush Kumar
Ankit Kumar Singh
Pranav Mahajan
K.V. Sarath Kumar
Built With
api?s
calender
configurable
css
database
flask
google
heroku
html
mvc
postgres.
react
restful
streamlined
user-experience
Try it out
github.com
contestcal.herokuapp.com | ContestCal(Team-RVGeeks) | Building Web Application to provide aggregated data of various competitions at single platform that helps students and professionals to easily manage their schedule and plan their timeline accordingly | ['Pranav Mahajan', 'Ankit Kumar Singh', 'Abhiroop Saha', 'venkata sarath kumar kanamarlapudi'] | [] | ['api?s', 'calender', 'configurable', 'css', 'database', 'flask', 'google', 'heroku', 'html', 'mvc', 'postgres.', 'react', 'restful', 'streamlined', 'user-experience'] | 32 |
10,449 | https://devpost.com/software/smart-ocr-system | Problem Identification and Solution:
This is an end to end solution that extracts all the text from the images, pdf documents or scanned files. So as opposed to entering the metadata of the documents manually, the OCR will identify the text in the documents which are fed into the document management system and send them to the database.
So instead of entering the metadata manually, the OCR does the job of extracting the text from the images, scanned files, and other documents before sending them to the database.
Build Upon:
This smart system is build using python, Flask Web application, deep learning.
What's next for Smart OCR System
We can improve our model accuracy using hyperparameter tuning and use hard deep neural network model.
Built With
deeplearning
flask
pytesseract
python
Try it out
github.com | Smart OCR System | Techno Spider | ['Radadiya Mohit', 'Navadiya Anish'] | [] | ['deeplearning', 'flask', 'pytesseract', 'python'] | 33 |
10,449 | https://devpost.com/software/helping-hands-2zlhmb | Sign in page
sign up page
Available requests - volunteer's view
chat window
Request items
Objective
Develop a matchmaking application for interaction between High Risk Individuals and volunteers to help with daily chores such as groceries. The aim is to present a platform for volunteers to offer their services to vulnerable (or elderly) people in their neighborhood.
Value Proposition
COVID has dramatically affected our everyday lifestyle. People having underlying health issues or people who are generally at a higher risk of getting infected face a lot of issues in finishing the most mundane daily things. Elderly people struggle with problems like getting their groceries or other everyday items from shops which act as a hotspot for the virus. The most obvious solution for that would to send a proxy to get their stuff. In a nutshell, this service would be kind of like a Tinder style system, where a volunteer can match to a vulnerable person, then offer them support, deliveries and any other necessary help.
Differentiation
The usual online services offer a home delivery system of everyday items or groceries for a profitable price. These services are reliable but the concept behind our idea for this app originates from a ‘social good’ point of view. There are a lot of young people in our community who like to volunteer and step up to offer support to those in need. This might provide them with an opportunity to do good for the society while the vulnerable people receive the help that they need.
Core Technology and Architecture
This is a MERN Stack project and thus uses MongoDB, Express, Node & React.
Registration and login are as easy as it gets, logging into the app with Facebook accounts etc. Personal data is then used to build up an initial profile and collect info for matching. Users can set filters (discovery settings) to search people within a certain area, of certain sex and age. This service will offer matches leaving a user with Yes or No decision.
Geolocation is the key to this whole system, or, in that matter, to any app of this kind. When users get connected to each other, a private chat is opened to them to communicate freely and safely. Push notifications act to alert a user about new connections and messages.
The technology stack for this app Includes: JavaScript, Python, HTML5 as programming languages. MongoDB/Firebase Cloud Firestore can be used as a scalable database environment. Mapbox, for custom map designs, AWS for testing and deployment.
For backend, RESTful API serves as a bridge connecting any web-based client app to a server. This could be a great option along with certain real-time API to provide fast data transfer.
Apart from that, the core of any app like this consists of a user management, chatting and notification system. This suggests implication of database frameworks like MongoDB, mapping tools such as Mapbox and SMS notification services in the likes of Twilio.
Built With
express.js
mongodb
node.js
react
Try it out
github.com | Helping Hands | A matchmaking application for interaction between High Risk Individuals and volunteers to help with daily chores such as groceries | ['Akshat Kumar Agarwal', 'Shubham Dogra', 'Anubhav Jedia'] | [] | ['express.js', 'mongodb', 'node.js', 'react'] | 34 |
10,449 | https://devpost.com/software/unknown-ohvxu7 | Inspiration -
The main problem we are focusing on is the inability of differently-abled people(speech-impaired) to communicate with normal people or other differently-abled people because they have their own sign language but normal people don’t know the sign language which is used for intercommunication between mute people. This system will be useful to solve this problem and help them to make their interaction easily with the people. They can communicate hassle-free by using this device & with the help of our app, we converted gesture pattern into text to Speech. Now, we are here with the combined Hardware and Software solution which is called “speech system using hand gesture ”, after analysing some problems. And, try to make the next generation Support Device for differently abled people.(speech-impaired)
The hand gestures are one of the typical methods used in sign language. It is very difficult for the differently abled people to communicate with the world. This project presents a solution that will not only automatically recognise the hand gestures but will also convert it into speech and text output so that impaired person can easily communicate with normal people. On the whole, the solution aims to provide aid to those in need thus ensuring social relevance. The people can easily communicate with each other. The user-friendly nature of the system ensure that people can use it without any difficulty and complexity. The application is cost efficient and eliminates the usage of expensive technology.
What it does?
There is a Hardware project which consists of a Hand Gesture Recognition. Hand Gesture Recognition for speech-impaired people because they have their own sign language but normal people don’t know the sign language which is used for intercommunication between speech impaired people. As computer innovation keeps on developing, the requirement for characteristic correspondence amongst people and machines additionally increments. In spite of the fact that our cell phones influence utilisation of the touch to screen innovation, it is not sufficiently shabby to be actualised in work area frameworks. In spite of the fact that the mouse is exceptionally valuable for gadget control, it could be badly arranged to use for physically disabled individuals and individuals who are not familiar with utilising the mouse for connection. The strategy proposed in this paper makes utilisation of a webcam through which hand gestures gave by the user are captured and identified accordingly. Hand gestures have boundless applications. In this investigation, we apply it to a system to make a straightforward easy to understand interaction interface. In our app, we will use specifications like
Text to Speech (for Speech-impaired people with bluetooth connectivity)
System Architecture(How we made it) -
In the Hardware of this project, Hand Gesture Recognition for “Speech-impaired People” using Arduino, Bluetooth HC 05, LDR Sensors & our app, through we convert gesture pattern into text to Speech.
Then, Text to Speech with bluetooth connection and Speech to Text were implemented with our skills.
The system makes use of a fingers motion reading system equipped with LDR sensors along with a Bluetooth module (HC-05) which can transmit data to the mobile, with the help of app it is spoken out and display on screen simultaneously. This system is powered by a battery powered circuitry to run it. Arduino is used for processing the data and operating the system. The system consists of around 16 stored messages like “ Help”, “Danger”, “Hungry” and so on that help, mute people convey basic messages. The system reads person fingers motions for different variations of hand movement. The Arduino constantly receives input sensor values and then processes it. Now it searches for matching messages for the set of sensor values with a specific pattern. Once it is found in memory this messages is retrieved and is spoken out using mobile app. Thus we have a fully functional smart speaking system to help mute people communicate with regular people using a simple wearable system.
Challenges we faced during our project -
Due to lockdown, we don’t have much hardware components. So, we try to figure out this with Arduino Uno and Bluetooth in specific time duration. Also, make an app with such functioning is new to us.
Our Accomplishments -
Working of Hand Gesture recognition is so efficiently and accurately. Also, make a this device very cheap around 13 USD. ( There some sensors in market whose cost around 30 USD each then for four fingers 120 USD with other components additional cost also) And, converted Text to Speech & Speech to Text successfully.
What we learned -
Learned a lot about that without having much components, how to make efficient project in hardware in specific time and also, learned about the new sensors. Moreover, built a more functioning mobile app.
Future Scope -
In terms of enhancing the project, we can introduce some sensors with the help of Gyrometer sensor in hand gesture, we can increase the limits of signs means available for different sentences instead of common words. In terms of marketing the product, we would like to initially target differently abled people centre of our region.
The application can be integrated with other mobile and IoT devices to improve user interaction and make the system more robust.
The accuracy of the program can be further improvised by using neural networks.
An alternate stress could be put on the use of the application in the fields of medicines, governance etc. A genuine blend of various technologies in mentioned fields could make way for power tools and applications which will serve the community around the world. Finally, the use can be further designed to make more accessible to the consumers. The whole point of making the solution as a commercially viable product for the users is to help the impaired community around the world.
Conclusion -
The practical adaption of the interface solution for speech impaired people is limited by simplicity and usability in practical scenarios. As an easy and practical way to achieve human-computer- interaction, in this solution hand gesture to speech and text conversion has been used to facilitate the reduction of hardware components. On the whole, the solution aims to provide aid to those in need thus ensuring social relevance. The people can easily communicate with each other. The user-friendly nature of the system ensure that people can use it without any difficulty and complexity. The application is cost efficient and eliminates the usage of expensive technology.
Built With
arduino
arduino-programming
embedded-system
iot | Speech system | Speech Impaired people face difficulty in explaining themselves to other , so we came up with an idea to create a gadget which convert their sign movement into text or speech. | ['Kartik Agarwal', 'Shivani Lathwal', 'Divya Maheshwari'] | [] | ['arduino', 'arduino-programming', 'embedded-system', 'iot'] | 35 |
10,449 | https://devpost.com/software/peercode-ide | Inspiration
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud ofsalkdajsd
What we learned
What's next for
asdas
Built With
canvas
express.js
firebase
javascript
node.js
nosql
p5.js
react
socket.io
typescript
webrtc | dasd | asdas | ['Subham choudhary', 'Shodrie 2.0'] | [] | ['canvas', 'express.js', 'firebase', 'javascript', 'node.js', 'nosql', 'p5.js', 'react', 'socket.io', 'typescript', 'webrtc'] | 36 |
10,449 | https://devpost.com/software/delhi-hacks-2020 | Inspiration
Due to COVID19, many job applicants have loose their jobs so this website will help them to get appropiate job. This website collects all the open jobs and show it at one place.So they can look all the jobs and its description and apply as their wish.
What it does
You can find jobs as per as your interest. You can also filter the job.
How we built it
we use html, css, javascript, php and database mysql.
Challenges we ran into
As we are new in backend programming so we haven't much experience in it. We searched on Google for many problems that we faced.
Accomplishments that we're proud of
This is our first hackathon which completed succesfully. we are proud of making a job portal website in such a sort of time.
What we learned
we have learned that how to work in a team and how to join backend part to frontend part.
What's next for Delhi-hacks-2020
Built With
css
css3
html
html5
javascript
mysql
php
Try it out
github.com | JOBSHALA | India's new job portal | ['chetnagrover00', 'Vikhyat Singh'] | [] | ['css', 'css3', 'html', 'html5', 'javascript', 'mysql', 'php'] | 37 |
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