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10,493 | https://devpost.com/software/game-on-vkp2o5 | A preview of the filter
Inspiration
This means a lot to me .
What it does
It is a Instagram filter works normally like a object .
How I built it
I built it using Spark Ar Studio . This is a great tool for creators .
Challenges I ran into
I wanted to make it steady but don't know how to make it steady .
Accomplishments that I'm proud of
Proud of made my second project got help from others too .
What I learned
A lot of new things . Team work was one of them .
What's next for Game on
I am gonna learn more and make new filters too .
Built With
instagram
sparkarstudio
Try it out
www.instagram.com | Game on | Future is here:-) | ['JARS Textile'] | [] | ['instagram', 'sparkarstudio'] | 177 |
10,493 | https://devpost.com/software/augmented-reality-social-media | the thing working.
the webmaster (me)
Inspiration
Check the wtf page on
https://the-cyber-artnet.vercel.app/
What it does
Check the wtf page on
https://the-cyber-artnet.vercel.app/
How I built it
Check the wtf page on
https://the-cyber-artnet.vercel.app/
Challenges I ran into
Check the wtf page on
https://the-cyber-artnet.vercel.app/
Accomplishments that I'm proud of
Check the wtf page on
https://the-cyber-artnet.vercel.app/
What I learned
Check the wtf page on
https://the-cyber-artnet.vercel.app/
What's next for Augmented Reality Social Media.
Check the wtf page on
https://the-cyber-artnet.vercel.app/
Built With
next
Try it out
the-cyber-artnet.vercel.app | Augmented Reality Social Media. | It's done already. Screw marketing - this is an open source marketing social media with augmented reality thrown in. Cheers from #SiliconRio.https://the-cyber-artnet.vercel.app/ | ['https://nidnogg.github.io/cylo-drone/', 'henrique v'] | [] | ['next'] | 178 |
10,493 | https://devpost.com/software/face-paint | so_fun
Inspiration
try new technology
What it does
make some effect for face book messenger or instagram
How I built it
I use spark AR
Challenges I ran into
Augment your world with Spark AR
Accomplishments that I'm proud of
I like it and i do it
What I learned
how to make effect by spark AR
What's next for FreeThinking
I will apply new skill for it
Built With
sparkar
Try it out
github.com | FreeThinking | free to play with new technology | ['Phuc Tran'] | [] | ['sparkar'] | 179 |
10,493 | https://devpost.com/software/mood-rh95yk | English version of Mood effect
Russian version of Mood effect
Spanish version of Mood effect
Inspiration
Because of coronavirus the whole world is locked. And we can't go on holidays to other countries. So I decided to create an effect what takes a person from anywhere in the world to the paradise tropics.
After all, we all need a vacation sometimes
.
What it does
The effect shows a person's thoughts to go on vacation and be on the beach. To give dynamics, emoji are used that change through animation. And, of course, you cannot imagine a vacation without sunglasses, which are added as a 3D object.
How I built it
I made all the textures in Photoshop, glasses in Blender and completely assembled the project in Spark AR
Challenges I ran into
I don't know JavaScript at all. But
I thought that will be good to make an effect that anybody can use
. So I learned from Spark Ar official web how to work with localization (by the way I found there an old info, so my script didn't work right in the beginning). So I when to YouTube and Google. Spent few days but finally made it work.
Accomplishments that I'm proud of
Effect
supports 7 languages
of users devices: English, Russian, French, Spanish, Italian, Portuguese and Arabic.
What I learned
I began to understand the principles of scripting. And I studied the Spark AR patches better to build all the logic of the effect.
What's next for Mood
I want to create an effect that will support 40 languages to cover 2/3 of the world's population
Built With
arabic
english
french
italian
portuguese
russian
script
spanish
Try it out
www.instagram.com | Mood | The effect uses a segmentation and takes a person from anywhere to the paradise tropics. After all, we all need a vacation sometimes. | ['Alena Storchay'] | [] | ['arabic', 'english', 'french', 'italian', 'portuguese', 'russian', 'script', 'spanish'] | 180 |
10,494 | https://devpost.com/software/mazebot-coder | Inspiration
My inspiration for MazeBot came from failing coding challenge interviews in the past. As a challenge to myself, I wanted to make these interviews part of my strengths in the future. I wanted to build a program that is simple to use and that I can help sharpen the mind when it comes to coding. I was able to learn a few extra tools that would assist me while creating this game. I wanted to build a bot that would incorporate my knowledge in data structures, algorithms, but also come up with a small daily brain exercise to keep my coding skills working constantly. Even though the challenge is simple, it helps the user by challenging them to think through each maze and get into the habit of solving problems constantly.
What it does
MazeBot generates a random maze (via emojis) to challenge the user. Once a maze is generated, the user must find a way to solve the maze. Using the messenger text field, the user will have to "code" a working solution by typing specific characters and a specific logic unique to the maze. The user can also use the loops and directions to solve the maze.
How I built it
The application was built with Messenger API and NodeJS.
The Webhook is hosted using Heroku.
AWS Dynamo-DB as a state management tool.
A recursive backtracking algorithm was used to generate random mazes.
Messenger button templates were used as a specific tool for generating mazes, this kept the maze generation as a postback payload instead of a message text.
Quick Replies were used to show different parts of the application to assist the user in what they needed to solve the maze.
Challenges I ran into
Using the database asynchronously, and making it work properly with the Messenger's asynchronous nature was particularly challenging.
Determining what is a valid "code" solution and what is not was specifically difficult. A combination of string parsing and regex was necessary to ensure the data being processed is clean and accurate.
Accomplishments that I'm proud of
The greatest accomplishment I was proud of was being able to build a working bot in less than a week while working with APIs I was not familiar with and simultaneously incorporating old technologies I already knew with it.
What I learned
I am a software developer! For the longest time, I was wondering if I can come up with something that did not involve tutorials, or code alongs. This experience taught me that I can thrive even though I am not familiar with the tools yet. I can learn and grow fast in areas that constantly challenge me, and I learned to be self-sufficient quickly. Now, I have confidence knowing I can build useful programs by myself, and if I was given the opportunity to works with a team of more knowledgeable engineers, I think I can progress even faster.
What's next for MazeBot Coder
I would like to add a timer to certain solutions. When the time limit is reached, the code gives you a hint.
I would like to have a "give me the solution" quick reply, where the algorithm can solve the maze, and generate a solution for the user.
Generate a more difficult maze, via a different algorithm.
Incorporate a challenge mode, where you can challenge a friend to solve the maze you just solved.
Incorporate a score database for keeping track of solved mazes.
Built With
amazon-dynamodb
amazon-web-services
node.js
Try it out
github.com
www.messenger.com | MazeBot - Coding Challenge Maze | Want to practice maze solving, and get some coding exercise at the same time? MazeBot delivers both! | ['Mark Daniel Delgado'] | ['First Place'] | ['amazon-dynamodb', 'amazon-web-services', 'node.js'] | 0 |
10,494 | https://devpost.com/software/sayme | 🎒 Sayme 📚
A messenger attendance for keep speaking
🦄 A Mission in front a problem 🧟♀️
In my city, as in many other cities, the internet has a low bandwidth, and when tourists visit it, they may find it difficult to access applications that consume too much data, but messenger continues to work despite having an internet of low bandwidth and the fact of integrating a translation solution, in a messenger conversation it could help people who are traveling or who live in remote regions and who want to learn another language. ✨ if you see something that I can fix or integrate I'm open for feedback. 😊
🔮 Architecture
I create a webhook through the use of node and express, I exposed my localhost to the Facebook webhook with ngrok, through which I send and receive the requests to messenger, when I receive a specific request For a translation I consume an internal service that I use to call the google translations API, I clean the request and send input back, some of the requests I send them as JSON to IA Platform where I use them for self-training and the result I return it as a JSON to be able to use it in some future. The part of the images I receive the request if when I receive it I detect it as an image I receive it, I send it to my service and I consume the image processing API to be able to detect the elements of the image.
👨🏻💻 Tech Stack
✅ Messenger Platform
✅ Ngrok
✅ Node.js
✅ Express
✅ IA Platform
✅ Vision API
✅ Natural Language API
👩🏻🔬 What I learned
In this awesome travel between different assistants platforms and ecosystems, I take the opportunity to create awesome things with the use of messenger, a backend core build in node.js and express and build an IA model with the use of IA Platform ( Google Cloud Platform )
References used for this project.
Course of Chatbots by Developer Circles Mexico City, Thanks Adan
Messenger Platform
Chatbot Concepts - Google Cloud
Integrate the Vision API
Chatbot Using Google Cloud AI Building Blocks
📝 What's next for Sayme
✨ Add new languages
✨ Training with a big data set
✨ Increase Vocabulary
✨ Add a Learning Mode
🐨 fun facts
When I was testing on the subway, I fell down the stairs 😭.
Test and tell me what do you think?
m.me/okeysayme
Built With
ai-applied-language-detection
facebook-messenger
google-cloud
node.js
Try it out
github.com
m.me | Sayme | A chatbot assistant for travers, with the use of translations an image processing. | ['M. Leon Martin'] | ['Second Place'] | ['ai-applied-language-detection', 'facebook-messenger', 'google-cloud', 'node.js'] | 1 |
10,494 | https://devpost.com/software/aa-04pgyj | Inspiration
This will be the year that will not be forgotten. For the first time in contemporary history, a worldwide pandemic has effectively stopped the world. The images and feelings of vacuity and discomfort we all experienced, will never fade.
We've seen Manhattan's vitality vanish into empty streets and the desolation of Shanghai's subway. The once crowded corridors of the Louvre now feel like a lonely collection of paintings; and the major airports in the world are reduced to nothing but huge giants full of empty lanes.
All this cannot be forgotten overnight
But what to take from this? Kahlil Gibran, libanese poet, philosopher and painter has stated that:
"Nothing will prevent the sun from rising again, even the darkest night. Because beyond the black curtain of the night there is a dawn that awaits us."
Keeping this in mind, we at Toblee have developed a solution to help the small and medium enterprises (SME) to digitise their day-to-day activities. All of a sudden Covid-19 has forced SMEs with almost fully traditional operations, to find alternative ways to do business. The business environment quickly became an hostile and increasingly challenging environment, with the main objective that shifted to survive in the hope of a better future.
We suddenly realized the importance of an online presence and of effective communication channels
What it does
Toblee has embraced this challenge, carefully listening and sharing ideas with both customers and store owners, learning about each business’ specificity and need.
We designed a chat-based solution leveraging Facebook Messenger capabilities, scalable to the vast majority of traditional brick and mortar stores, simple to use for the end customers, easy to interact with for the store owner.
We leveraged the latest technologies among which Natural Language Processing to create an AI-based chatbot that allows customers to interact seamlessly with the shop via general questions, booking and ordering intents, as if a shopping assistant was always there for you.
The agent deals with all customers' requests, taking care of the questions with tailor made answers.
The chatbot is also provided with an e-commerce solution and an in-chat booking system, with all the requests which are routed to a single external chat kept between Toblee and the shop owner.
Once the request is passed to the store owner, he can either accept, decline or propose a new time to the customer.
This task can be accomplished with a single tap on the message he receives. Furthermore, the chat on the shop owner side can be shared among multiple smartphones, allowing for both employees and owners to have full visibility on the incoming requests.
The customer will then be notified about the status of the order directly into his chat. To provide a better UX, we decided to rely on an external landing page for the ordering process, while providing a fully in-chat experience for the booking system, leveraging the same backend infrastructure for the accept/decline process.
The full flow is shown in the image below:
This way, the shop owner avoids dealing with hundreds of calls and wasting time manually recording the orders, which easily interrupts the core day-to-day activities. Moreover, this solution is very scalable and flexible for multiple purposes, such as remote ordering, delivery and at the table orders.
It can be used for remote ordering, delivery, as well as for at the table orders. it perfectly fits different situations: from takeaway at pizza shops to booking a table in a restaurant, from ordering an ice-cream while avoiding the queue to collecting grocery from a local farmer. This also removes problems related to the queue, that have always been a barrier in the customer purchase checkout process and nowadays represents a true obstacle due to social distancing and in-store quotas of people.
The solution is completely commission-free on the order or booking, removing the burden of crazy-high commission charged by delivery apps, which discourages several sellers to do business online as their margins are completely wiped out.
Needless to say, it leverages a 1.3bn monthly active users customer base.
It can be integrated directly into the Facebook Page of the shop and into the Instagram bio. The chatbot natively supports English and the local language of the business.
It is the perfect solution to reach a different segment of your customer base, from a more young picture-driven type of users who navigate Instagram, to a more adult segment of customers which use Facebook extensively.
Furthermore, this is a quick and much cheaper solution for shop owners compared with the setup of a website and of an ecommerce. In fact, many small shop owners in the European food segment don’t even have a website for their business and rather rely on a Facebook Page through which they post daily content.
Toblee has developed this solution with a clear goal in mind: providing an effective and easy-to-use framework to cover the current and future needs of both customers and sellers in the retail space.
Despite being still fighting this pandemic, we at Toblee believe that dawn is just around the corner. We want to be the preferred solution for customers and sellers today and tomorrow, creating a new concept of interaction and enhancing the digital presence to appreciate even more the physical one, when we will go back to our normal lives.
How we built it
The goal of the system is to deliver a smooth and seamless experience for the user in a number of different devices. We evaluated the possible use of several technologies and eventually decided to use a MERN stack as it is an open source full stack development framework which provides entire front-end to back-end development components. The stack is composed of MongoDB, Express JS, React JS and Node JS and they are used in synergy as depicted below:
The interactive user interface is created using ReactJS, HTML and CSS. The front-end connects to the back-end through API calls (typically POST and GET http requests) that triggers actions on the database using Mongoose, which acts as an interface between the MongoDB database and the application. The whole flow of actions to place an order can be seen in the graph below:
The user begins a conversation with the bot either in Whatsapp, Messenger or Telegram. The message is passed to Dialogflow which applies Natural Language Processing in order to extract the relevant information from the message, and then responds accordingly by providing a link pointing to the online menu where the user can place the order. Once the order is placed, a recap is sent back to the user while a notification is sent to the vendor. He can then accept, decline or change the time of the order, and the user will be notified accordingly.
A similar logic applies to every other type of request such as table booking, or questions such as “are you open tomorrow?” etc.
On the Natural Language Processing training, we took 2.3 thousands training phrases, which were collected via surveys and through a collection of Facebook post comments in reply to Food posts. We decided to use 1) surveys, to understand which intents are the most commonly asked while chatting with a bot, and 2) Facebook’s post comment to reinforce the training of the algorithm. In fact, via Facebook’s posts we were able to collect data points about a more natural and spontaneous way of writing, as well as the include patterns related to typos when posting from mobile.
We have built an agent which is trained to answer 34 types of questions, with the full list of intents available in the table below.
Challenges we ran into
First of all, the design of the whole user experience flow was challenging. In the early stage of the process we asked ourselves several questions such as: “what would be the simplest way for the user to buy one or several products from the store?” or “how could we design a service that would effectively benefit both the vendor and the user at the same time?”. Another important design choice was the decision between the adoption of Dialogflow or Wit.ai as NLP service. Eventually we decided to use Dialogflow because: 1) it can be programmed to answer directly to user inputs without using a Webhook, thus resulting in a much faster creation of the agent, 2) it allows for bulk uploads of training phrases, thus allowing to easily increase the number of examples to ultimately improve accuracy.
Furthermore, the connection between different technologies was not as easy as expected because Toblee has to work in synergy with Whatsapp, Facebook Messenger, Telegram and Dialogflow. It took time, several trial and error iterations to be able to deliver the same user experience regardless of the messaging platform used.
Accomplishments that we're proud of
We are extremely proud that we gave birth to our first software product. It has been a remarkable experience, and the journey it’s just at the beginning. What is truly amazing is how steep the learning curve has been for us, and how every day has brought precious insights. From technical topics to pure business or UX discussions, Toblee has been developed in a synergetic environment that has stimulated sharing of knowledge and ideas. We have pushed our limits to new boundaries, we learnt topics that few months ago we would have never expected to become exposed to. That’s the beauty of getting involved to embrace the future. Every day is a new discovery, sometime you win and sometimes you learn, but perhaps the greatest achievement is that since Toblee has been conceived, no day has been like another.
What we learned
The list of all the things that we learnt could fit another entire document, but for the sake of conciseness we can describe with one line:
we learnt the beauty and the power of diversity, in all its form.
From coding related topics moving to the complete opposite of the spectrum of sales pitches, we got challenged and inspired. We learnt about our clients: their business, their habits, their way of communicating, their needs. We were able to listen, meditate, think and discuss internally about how we could deliver the best solution for them. We did the same with our end users. We learnt how to interact among ourselves too. Business people started to think as developers, and developers as business. We learnt what no course at university has taught us, we read solutions no book has ever provided. We learnt how to move the first steps into entrepreneurship.
What's next for Toblee
We have just moved a few steps down the path to accomplish Toblee’s vision of a more connected retail experience. On the immediate next steps, we plan to enlarge the number of integrations to enhance both the shopping experience (adding payments option) and on the owner experience (providing integrations with order management systems, thus allowing the order to be directly ingested into the shop system once accepted). Our infrastructure has been built with one clear point in mind: be scalable to reach as many customers as possible. We are now ready to move the first steps into this world and to run this beta test with some selected partners.
Feel free to contact us at
info@toblee.com
or visit our
LinkedIn page
.
Built With
css
dialogflow
facebook-graph
firebase
heroku
html5
mongodb
node.js
react
telegram
twilio | Toblee, flexible AI-based solution for retailers of all size | Phone calls are frustrating, that's why we moved to chats. We have busy lives and we love doing everything online. Toblee helps small retailers to build a chat-based solution to achieve the best CX | ['solbricklayer solbricklayer', 'Alberto Miola', 'Giulio Marcon', 'Pietro Bolcato'] | ['Third Place'] | ['css', 'dialogflow', 'facebook-graph', 'firebase', 'heroku', 'html5', 'mongodb', 'node.js', 'react', 'telegram', 'twilio'] | 2 |
10,494 | https://devpost.com/software/frills-fz09rd | Inspiration
As e-commerce business owners, we wanted to
converse and encourage
our existing customers to generate content post their purchase without any friction and reward them with cashbacks and badges for the posts and referrals.
What it does
The eco-system has 5 distinct apps:
The Frills Messenger Bot drives content generation without any friction by
conversing with customers post purchase and encourages
them to drive content creation with** wit.ai powered conversational instructions, 24 hours reminder messages, quick-replies, media attachment messages, messenger menu to track all posts, profile & notifications, & messenger context driven react UI web-views.**
Post collecting content, the bot automatically encourages customers to share content with close friends and tracks the referral sales via the customers and automatically on messenger rewards them cash-backs, custom badges and more.
Discovery & re-engagement
via Extension SDK - Our progressive web app, integrates FB Messengers "discovery & re-engagement" solution via
chat-plugin
to chat with the merchant for queries and ** Messenger check-box** to receive unique discount code on messenger with a shop link . These two features are used to create and nurture referred leads.
FB Messenger Analytics Data - The
messenger analytics
library along with the
FB Pixel ID & Wit.ai
is used to track customers shopping and referral journey and provide data to the merchants via customer dashboard.
Shopify App - The merchant tracks interaction data of the bot, PWA & sends rewards to their best customers on FB Messenger via the Shopify dashboard.
How I built it
Frontend: ReactJS + Antd + Messenger SDK + Messenger Webciew
Backend - NodeJS + FB Messenger & Shopify web-hooks. Inferring intent via Wit.ai. Database and messenger conversational state via MongoDB. Reminders via BullJS jobs. Quick-replies via redis constants.
Data & Shopify dashboard - Messenger & usage analytics fed into segment cloud functions and stored in AWS redshift warehouse and triggers on that to send rewards & cashback to users via FB Messegner.
Challenges I ran into
Confirming transactional states across different microservices while showing the chat bubble to our users on messenger was the time consuming part. We solved that by optimising our code to the T.
Wit.ai mapping to quick replies
Accomplishments that I'm proud of
Building not just an app but 5 distinct technologies and platforms and make a business out of it.
While learning building my app, I contributed a lot to the questions and queries other devs faced on the FB Messenger Developers Facebook page.
What I learned
The complete FB ecosystem, Shopify app development, FB ad accounts and the eco-system.
What's next for Frills
We are going to make the personas and handover protocol better and launch our Shopify app this week with a paid plan to bring more merchants and their customers onto the platform.
Built With
agenda
amazon-web-services
bull
facebook-messenger
firebase
javascript
messenger-chat
messenger-checkbox
mongodb
node.js
parse-server
react
segment.io
sendgrid
sharp
shopify
wit.ai
Try it out
m.me | Frills - Content & Sales Via Messenger | Social e-commerce for D2C brands that: 1 Generates content from your customers via FB Messenger. 2 Discovers new leads & drive sales via your customers social connections & content. | ['Siddharth Ramesh'] | [] | ['agenda', 'amazon-web-services', 'bull', 'facebook-messenger', 'firebase', 'javascript', 'messenger-chat', 'messenger-checkbox', 'mongodb', 'node.js', 'parse-server', 'react', 'segment.io', 'sendgrid', 'sharp', 'shopify', 'wit.ai'] | 3 |
10,494 | https://devpost.com/software/batuk-the-dog |
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if (msg.type === 'video') {
// force a resize of the carousel
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Inspiration
MY own Dog
What it does
A Cartoon Character based, bot to increase and engage the customers of a Artist
How I built it
Using Nodejs
Challenges I ran into
Making all the features work
Accomplishments that I'm proud of
ALl of them
What I learned
Working with bots
What's next for Batuk the Dog
Launching a live version.
Built With
node.js
Try it out
www.facebook.com | Batuk the Dog | A Cartoon Character based, bot to increase and engage the customers of a Artist | ['vivek shukla'] | [] | ['node.js'] | 4 |
10,494 | https://devpost.com/software/whatzontv-amljwv |
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xfbml : true,
version : 'v3.3'
});
// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
function() {
$('[data-slick]').slick("setPosition")
}, 2500
)
}
});
};
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var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
js = d.createElement(s);
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WhatzOnTV -
What's trending?
What's on Hulu?
Inspiration
Like many people I am frustrated by the difficulty to find shows or Movies across the spectrum. I decided to provide a PoC as first step to build a set of applications aimed to provide a quick and easy access to the live broadcast and on- demand library offers.
What it does
It allows users to get information about TV shows and movies from Broadcast Networks and OTT services. It simplifies the search by using text, quick replies and voice to obtain quick results
How I built it
Using Facebook page linked to a Messenger FB app which interact with wit.ai and request information from a external source (TV guide)
Challenges I ran into
The model training and audio manipulation: Using wit.ai Speech to understand the voice input from Messenger required a audio file manipulation.
Accomplishments that I'm proud of
The integration of the audio processing to interact with WIT. And an attempt to square the UX to some defined options
What I learned
Integration of AI (ML) to provide a new user experience based on Natural Language Processing and voice-first enabled application.
What's next for WhatzOnTV
Focus on training the model in Wit.ai from user inputs and provide the users guidance to easily find information. Diving in conversational AI. Integration of wit.ai in the future minimalist website to allow a natural UX with the user. Build recommendation based on usage data.
Built With
api
external
facebook-messenger
ffmpeg
quick-replies
templates
wit.ai
Try it out
www.messenger.com | WhatzOnTV - Voice-enabled FB Messenger bot for TV lovers | Voice-enabled FB Messenger bot aimed to help "WhatzOnTV" FB page visitors to find TV shows or Movies across the Streaming TV services in response to searches requests by text, voice /quick replies. | ['Christian Thomas'] | [] | ['api', 'external', 'facebook-messenger', 'ffmpeg', 'quick-replies', 'templates', 'wit.ai'] | 5 |
10,494 | https://devpost.com/software/angel-assistant | Angel Assistant
Unfortunately, given the limited time constraint we were in, it would have taken Facebook approximately 1 - 2 weeks to publicly release the chatbot, which wasn't possible since judging would have been over by then. Therefore, it will only work for users who have been added by us as designated test users. Sorry for the inconvenience.
Angel is an intelligent medication tracking assistant powered by
Wit.ai
.
Want to use Angel Assistant? Start a conversation by messaging at
https://facebook.com/angelassistantai
Wit.ai App ID: 763921211088980
Messenger Link: m.me/angelassistantai
Our project website is
https://angelassistant.tech/
Inspiration
Keeping track of personal medications is challenging for many people. According to a review in Annals of Internal Medicine, “studies have shown that 20 percent to 30 percent of medication prescriptions are never filled, and that approximately 50 percent of medications for chronic disease are not taken as prescribed.” This lack of adherence is estimated to cause approximately 125,000 deaths and at least 10 percent of hospitalizations, and to cost the American health care system between $100 billion and $289 billion a year.
Our team was determined to leverage the power of Wit.ai to build a well-designed and easy-to-use chatbot interface that assists people with remembering and keeping tracking of their medications, in an effort to encourage people to stay on top of their medications and remember to take them as prescribed. Angel Assistant supports a simple and accessible way for users to communicate via natural language and stay on top of their medications, which is possible through the cutting-edge infrastructure and technology of Wit.ai.
What it does
Angel is an intelligent chatbot that allows users to quickly add, track, and remember their medications. Users can add medications via voice commands, specifying the name of the medicine, dosage, and times. They can update their status by leaving a quick voice or text message, after which Angel will give timely reminders. Lastly, Angel provides each patient with a unique ID, which they can then share with their doctors for them to monitor their patients’ progress, and send messages accordingly.
How we built it
Angel lives in a Python based cloud server hosted on Azure. We are using Flask for the cloud server and MongoDB Atlas for our database. We are using the Facebook developer infrastructure to integrate the Angel Assistant backend with Messenger for automated intelligent messaging.
Incoming messages from Messenger get forwarded to the Angel backend server for processing.
Messages are then sent to our Wit.ai application, which returns the intent, state and traits of the message, backed by the mongoDB database and our state machine. In this manner, we curate custom responses to the user based on their message, as well as update the database accordingly.
Challenges we ran into
The implementation of the chatbot logic and integration with Wit.ai was the most time consuming part because we had to set up the development environments and get everything functional before even starting. The chatbot logic turned out to be more complex than we anticipated. We also had challenges in implementing the voice commands features, as traditional Messenger voice audio files aren’t supported on the Wit.ai platform. Thus, we encoded and sent the data as .wav files over REST API. This was quite challenging to do as the conversion had to be done in memory. Lastly, migration of the bot from Flask to Azure functions was a challenge.
Accomplishments that we're proud of
We were proud to have created a well-designed and well-executed Minimum Viable Prototype of an intelligent chat bot that successfully tracks medications, and implements various tracking features. The system integrates well with Messenger, and we strive to integrate it with other chat platforms as well in the future. Lastly, we are proud to have configured natural language interactions by enabling users to send custom voice messages by sending .wav files to Wit.ai, and retrieving the results from the backend server.
What we learned
We learned how to create concepts and intents in Wit.ai, and integrate it with a Flask backend server that sends messages to the Messenger platform. We learned how to create callback requests to our Flask backend server from the Messenger API infrastructure. Lastly, we wanted to transition our conventional Flask server to the more cost effective and efficient serverless architecture provided by Azure functions, which we learnt how to integrate with the python messenger client.
What's next for Angel Assistant
Currently, Angel Assistant is designed and published as a Minimum Viable Product. We would like to refine the functionality, taking into consideration feedback from users and experts in the healthcare field. A feature we would especially like to implement is support for finding and showing further information on various medications, as well as integrating with pharmacy systems for online purchases of medications.
References
https://www.nytimes.com/2017/04/17/well/the-cost-of-not-taking-your-medicine.html
https://pubmed.ncbi.nlm.nih.gov/22964778/
Build Instructions
Set up your
Wit.ai
and create
Messenger
bots to get your access keys.
Install Python and Flask via pip, and and update the access keys for the bot.
Start the ngrok server by running server.py.
Test using messenger
Alternatively, message
https://facebook.com/angelassistantai
to start chatting now!
Built With
azure
facebook-messenger
python
wit.ai
Try it out
www.facebook.com
angelassistant.tech | Angel Assistant | An intelligent medication-tracking assisant powered by Wit.ai | ['Veer Gadodia', 'Nand Vinchhi', 'Muntaser Syed', 'Ebtesam Haque'] | [] | ['azure', 'facebook-messenger', 'python', 'wit.ai'] | 6 |
10,494 | https://devpost.com/software/bot_trl | Inspiration
What it does
How I built it
It was A new for us we searched for resource and making things easier was our moto
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Bot_TRL
Built With
python | Bot_TRL | Make Things Easier | ['Gaurav Konde', 'sandeep vishwakarma'] | [] | ['python'] | 7 |
10,494 | https://devpost.com/software/facebook-group-assistant | Welcome and invitation to join the group
Link to join the group
Main menu
Gallery showing info of DevC global programs
Gallery showing info about the group sections
Gallery showing info about the activities of the local community
Request content of certain, suggested topics shown using quick replies
Gallery showing info about top contributors
Inspiration
We are leaders a couple of local developer communities in Mexico City, freeCodeCamp and Facebook Developer Circles.
In this communities we use Facebook groups as our main virtual interaction channel, and during the social distancing measures due to COVID-19 this groups have become even more relevant, since they have allowed the community to keep close regardless of the in person interaction limitations.
Fortunately, this Facebook groups have grown a lot and have thousands of active members, and this have provided many benefits such as getting help and support from other members, promoting relevant work and content, finding collaborators for a project or even finding job opportunities.
However, sometimes this high level of activity in the groups makes a little difficult for the members to keep track of things that could be relevant to them, and it's even a little difficult for the admins to help the members to get the most out of the group.
That's why we decided to create an API and a bot for Facebook Messenger that would assist us in tasks that provide the most value for the members.
What it does
Welcome and invitation to join to the group. Since a bot and a group aren't really connected we always show the invitation to join to the group. We'll also benefit from the discoverability tools of the bot to also promote the group.
Info about the FB group sections and activities hosted by the local community.
Activities and programs: Info about our meetups, Live Talks and Job Offers Program.
Contact DevC Leads: This option will use handover protocol to directly reach the inbox of a page monitored by the group admins.
Group sections: Announcements, Units and Post topics.
Access to the top content created and shared by the group's community.
Top content: Curated lists of content by period of time and topic.
Top contributors: Profiles of people that have done popular and meaningful contributions to the community, we link to their social networks so other members can follow them and keep up to date with them.
Request content: A way to suggest more content of certain topic, we use quick replies to suggest some popular topics.
Info and links to the global programs from Developer Circles.
Learning resources
DevC Community Challenge
Training Courses
Open Source immersion
How we built it
We have talked with many members about their experience with the community and with the group, from this talks we identified the most frequent issues that new members encounter when they join.
Some of the issues that we discover are to keep track of all the content and that even some of the content of the group that is organized is sometimes hard to discover, like the Units section that host video courses. We used all this info to define the info and flows that should be in the Facebook Messenger bot.
We used Chatfuel to quickly create the onboarding experience that allow the user to get familiar with the activities and content of the group.
We also used the Chatfuel integratino with external server to provide access to the results of the top content search we made using Python and Graph API.
We used Python and the Facebook Graph API to analyze the history of post of the group and identify the more relevant content by measuring the amount of reactions, comments and shares that it generated. We used Django to create an API that would allow this information to be accessed by external sources like the Messenger bot.
Challenges I ran into
Correctly identifying the issues that the members have and that were possible to improve via admin work like curation and automation.
Integrate the FB auth with the Django auth.
Analyzing large periods of group history from the server request, since it's a lot of information and it required to setup background jobs in the server, which is something that we weren't familiar with.
Accomplishments that I'm proud of
Solving our own problems with code.
Being able to create a reusable tool that could allow other communities running Facebook groups to improve their interactions.
Learned a lot of tech stuff by overcoming all the technical obstacles that we faced.
What I learned
To leverage tech to solve our own day to day problems.
Lots of technical stuff of the tools that we used, in particular the FB Group API, and Django auth system and discovered and learned lots of Python and Django libraries.
All the value and help we can get from amazing tools such as chatfuel that simplifies and speeds up a lot the creation of bots by saving some common and repetitive configuration work.
What's next for Facebook Group Assistant
Improve data analysis by using data available when app is approved like info about reactions and people.
More advanced analysis using language analysis tools.
Continue testing it within our communities to find more relevant use cases.
Share it with other communities that use Facebook groups.
Migrate to a custom implementation of the Facebook Mesenger hooks.
Note:
We previously presented a similar project
https://devpost.com/software/group-super-powers
. However, that the scope of that project was limited to a frontend demo with static data. This project has more features and in a more developed state and has been build with a different set of technologies and adapted to the most recent changes in the Graph and Facebook groups APIs. All the work of this project has been done within the contest period.
Built With
chatfuel
django
facebook-graph
python
Try it out
m.me | Facebook Group Assistant | A bot for Facebook Messenger that assist group admins with important tasks such as new members onboarding, content curation and fostering interaction between members. | ['Miguel López', 'Rihan Topete'] | [] | ['chatfuel', 'django', 'facebook-graph', 'python'] | 8 |
10,494 | https://devpost.com/software/powerup-aciw6m | PowerUp
PowerUp Alex
Inspiration
Connecting with each other is the most basic yet important thing for humans to share their views about anything they like or even how they are feeling in recent times and for people who are visually impaired, it posts a hard challenge for them to express what they feel from inside and this project is related to bridge the gap between people who are visually impaired that brings something more special and contributory to the society of with this disability and let them see and grow through the automated alt-text using AI, this project works towards providing a platform that connects the visually impaired with companies directly that may provide them with jobs and people can boost their life.
What it does
In recent years Facebook with their object recognition technology to generate automated alt-texts using AI helped to build Facebook android app that can be used by visually impaired people making it easier to connect and have fun while connecting with people online and this inspired me to further take this project ahead by not only just providing them with content but also to job opportunity by creating a platform that would help them interact with various companies directly in applying for the jobs and we can overtake this project to build a strong platform that can help over 32 million people across the globe resulting it to be a crucial step for such a massive population waiting for something like this and this project and platform can be revolutionary and bring the world even more close and connected to each other in this era of digital and social media life.
How I built it
What is PowerUp program? PowerUp program invites University students or professionals to offer multidisciplinary program throughout the world. Our program is designed to inspire and grow people with disabilities and visual imparement.
What kind of career opportunities you provide? The aim of PowerUp program is to facilitate and empower with career opportunities for Job, Internships, Personalised Interviews, Sponsered Programs, Schems throughout the world in multidisciplinary fields.
What are program goals? Our program is focused to facilitate the people to develop career oriented skills and build confidence in their abilities.Career oriented opportunities will encourage person with disabilities with support.
I have made using entities and intents for every opportunities and category respectively. For career opportunities - intents-
Job opportunities
Internship opportunities
interview opportunities
Programs opportunities
Aim to provide features using voice enabled answers to every questions. People with disability and visual impairment can either use text/audio for the conversational bot.
Challenges I ran into
In recent years Facebook with their object recognition technology to generate automated alt-texts using AI helped to build Facebook android app that can be used by visually impaired people making it easier to connect and have fun while connecting with people online and this inspired me to further take this project ahead by not only just providing them with content but also to job opportunity by creating a platform that would help them interact with various companies directly in applying for the jobs and we can overtake this project to build a strong platform that can help over 32 million people across the globe resulting it to be a crucial step for such a massive population waiting for something like this and this project and platform can be revolutionary and bring the world even more close and connected to each other in this era of digital and social media life.
I have done research on voice enabled conversational bot from user and bot side end. And I could provide and facilitate from user-end only and working in progress from bot's side.
what's next?
Working on fully functional voice enabled conversational bot for enhanced career opportunities for University students and professionals .
Built With
facebook
facebook-messenger
flask
heroku
natural-language-processing
python
wit.ai
Try it out
www.facebook.com | PowerUp | PowerUp aim to connect with the people with disabilities and visual impairement throughout the world with career opportunities. | ['namrata agrawal'] | [] | ['facebook', 'facebook-messenger', 'flask', 'heroku', 'natural-language-processing', 'python', 'wit.ai'] | 9 |
10,494 | https://devpost.com/software/robin-job-finding-assistant-zjrgum | Company Insights
Reminders
https://miro.com/app/board/o9J_kmQTyfw=/
Inspiration
Problem statement:
“As a job seeker I want to find a job that fits with my skills, career goals, values, and salary expectations but the process is very stressful, overwhelming and I need to invest too much time doing research, analyzing each job description, dealing with spam and preparing for each interview.
Global context:
In the past months, hundreds of millions of people worldwide have lost their jobs. In the USA alone, more than 40 million Americans filed for unemployment. People across all industries have been impacted in some way either through losing their job or having their hours reduced.
Competition for jobs is higher than normal resulting in heightened emotions for everyone. On top of the obvious financial stress that comes with being unemployed or underemployed, job seekers also suffer from worse physical health, with rates of depression rising among the unemployed the longer they go without finding work. Job seekers usually become discouraged with the belief that finding a job isn’t possible and time-consuming. It is, but it will require extra patience.
Dealing emotionally with this sort of adversity is a skill few of us have been taught, and it requires building new habits in our personal lives. An article published by The New York Times, affirms that Creating a structure for the job hunt can reduce stress levels. Dr. Norris said that learn new skills and stay Social also helps to increase efficiency and can help keep the search from bleeding into every area of our personal life
What it does
Robin is a Facebook Messenger chatbot that assists people during their job search. Robin helps job seekers setting an structure, to avoid stress, provides help with relevant resources, and connects them with a community of mentors and career counselors.
How we built it
Robin uses the Messenger API with Wit.ai to build ongoing interactive conversations that help people find Jobs in the USA. The user's data is stored in AWS DynamoDB, and the matching results were implemented using Google Custom Search API. We used the user's data to custom search (indeed, youtube, glassdoor, and other websites), and the API returns the results in JSON format. We also used other APIs to get Indeed reviews and company details. Moreover, the app finds and matches mentors based on user job preference. The recommendation can be based only on the job role or with a combination of job role and company preference. The function will check the data and decide what to implement. On the other hand, the NLP interaction was built using Wit.ai. We created the intents and entities then trained the App with some possible utterances like :(I need to set a reminder for an interview on December 1, 2020 | I need review for CVS). The App sends an error message to the user if it detects an intent without the required entity like: (I need reviews | I have a job interview). Some intents are generic and can work with 1,2 or 3 entities like: (I need a software engineer job | I need a software engineer job in Florida | I need a part-time software engineer job). It will work with only the job role or with combinations by handling each case differently. Finally, we used Messenger One Time Notification to send reminders if the user set a reminder for an interview. The function refreshes periodically, and it will first check if the user is subscribed or not. If the user is subscribed, it will check the reminders' dates. If the date is one day before the current day, it will send Notification with some helpful resources.
Challenges we ran into
It is hard to get free public access to Indeed job search API & Glassdoor. We used an alternative which is Google Custom Search API to get the results from the website
Accomplishments that we're proud of
We are very proud to put our efforts into a working project that can help many people during their job search. We tested our demo with various users and all of the agreed that Robin would be instrumental to not only help them find the right job but to deal with stress and anxiety, avoiding spending time doing lots of research and providing them with valuable resources.
What we learned
We had to used google API to custom search indeed, glassdoor, youtube, and other websites because it is hard to get access to free API.
What's next for Robin - Job finding assistant
The next step for Robin is to provide users with more sophisticated features such as Auto-emailing responses, rehearsal tools that can give feedback in terms of voice tone, engagement, clarity, and performance, as well as mental health support, especially after receiving a rejection email.
Built With
amazon-dynamodb
facebook-messenger
google-custom-search
wit.ai
Try it out
m.me | Robin - Job finding assistant | Hi, I'm Robin, I can help you to find job opportunities that fit with your background and interests, analyze job descriptions, set interview reminders, and find a mentor. | ['Iris Rodriguez', 'Khaled Abouseada'] | [] | ['amazon-dynamodb', 'facebook-messenger', 'google-custom-search', 'wit.ai'] | 10 |
10,494 | https://devpost.com/software/literuhsee | Inspiration
The inspiration comes from myself, I'm not too attracted to writing about my feeling just because it was "not for me" maybe for the first time, but after I watch a movie that's just really got me, so yeah, I think the quote, poem, poetry from the other people were good, but it will be better if you can make it yourself, motivating yourself
because the one that knows a lot about yourself is nobody else than you
. maybe after we write out about our thinking, feeling, or emotions; that's just one of
the ways to get out of our problems in life and get some idea and enlightenment
.
What it does
I create some chatbot that will give the users some random question and then some poem/poetry/quotes to motivate them and then it tells the users to create something on their own words about anything to express their emotions/ feelings, and there's actually an algorithm to know about your words, or in other words, if you can create something that I think it's on a high level, then you will get a "great" response.
How I built it
I built it using Node.js and javascript, and other open-source API and modules.
Challenges I ran into
I didn't know a lot about javascript, that's my problem.
Accomplishments that I'm proud of
I'm proud I can make it happen.
What I learned
I learn a lot about javascript, node.js, and ways to express my emotions and feeling
What's next for Literuhsee
Maybe more response, adding NLP and more data and can take a chat with the users, with the writings from the users as the data, and maybe can help the users get some way out of their problems.
Built With
javascript
node.js | Literuhsee | Something that can help you to expressing your heart. | ['Muhammad Aucky Aisy Sudjono'] | [] | ['javascript', 'node.js'] | 11 |
10,494 | https://devpost.com/software/botato |
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xfbml : true,
version : 'v3.3'
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// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
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$('[data-slick]').slick("setPosition")
}, 2500
)
}
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};
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var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
js = d.createElement(s);
js.id = id;
js.src = "https://connect.facebook.net/en_US/sdk.js";
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}(document, 'script', 'facebook-jssdk'));
Inspiration
To build a simple solution to getting closeby resturants
What it does
gives users 5 nears resutrants
How we built it
using python flask
Challenges we ran into
server errors
Accomplishments that we're proud of
building a working bot
What we learned
how to handle errors
What's next for Botato
fixing multiple server issues
Built With
google-maps
python
Try it out
www.messenger.com | Botato | we get you resturant stuff | ['Hello World', 'Catherine Matta', 'Annie Zhou'] | [] | ['google-maps', 'python'] | 12 |
10,494 | https://devpost.com/software/lighthouse-messenger | Inspiration
facebook started as 'people I like', and has become 'people like me', especially around healthcare. fb is a source of health information and discussion, and has the potential to be the daily hub of coordinated health care. fb is part of the fabric of life and can be an important organizing platform for personal health management.
What it does
LIGHTHOUSE helps seniors navigate chronic conditions in pursuit of specific health goals. We help our members build core habits in diet, physical activity, taking their meds and writing stuff down. v1 of LIGHTHOUSE messenger focuses on education and data logging and building health care circles. Members receive individualized care plans and health care journey support.
How I built it
Serverless on AWS Lambda. AWS RDS for member data storage.
Challenges I ran into
Some of the async/promise processes used to manage member data, session information and content delivery occasionally go out-of-sync with how the fb service calls my API -- every now and then a misplaced "await" would generate 50 fb platform replies to a simple request. You just have to wait for them to finish.
Some of the wit.ai data structures forced me to do some inelegant workarounds -- if I had an entity for measurement it showed up in the wit.ai payload as "measurement:measurement", which breaks JSON.parse if I was hoping to use dot-notation to access data.
Sometimes I wanted to send two messages to a person, however, the sequence I sent them was not always the sequence in which they arrived. It was mostly cool (I could adjust the language so the order didn't matter), but if I needed to send a text message followed by a quick-reply, if they went out of order, the quick-reply would get wiped.
Accomplishments that I'm proud of
We did a good job matching up the experiences (free type, templates, quick-responses) to the interactions to maximize accuracy and flexibility. It's natural for a health service to want to load up on reminders and fire up that "One Time Reminder", but without compelling member context, it's something
WE
want, not them. We waited until the member expressed some additional level of commitment, e.g., adding a content program before we asked "The 'My First Year with Diabetes' program suggests a Monday reminder to set your weekly goals. Can we contact you on Monday?".
Also, navigating some of the unpredictable comms patterns between fb and my API ended up creating a great experience.
What I learned
You have to work to learn how people "naturally" talk and capture tons 'o error data to figure out the gaps between how you think people will use our service and how they actually do. We had 15 users sit down with no-prompt, limited-prompt and aggressive prompt to start to work on
our side
of the conversation. We have a lot of mileage yet to cover.
What's next for LIGHTHOUSE messenger
The bot is still in development because it works in tandem with a Portal by Facebook experience which has been under review for 10+ days at this point and we need to line up intents, data sharing, and VUX. By Q4 there will be a seamless experience across Portal and messenger.
We have a pretty deep recipe library that didn't make it into this release of our messenger experience, and we have a big library of senior-focused workout videos that need to have a reimagined experience to be compelling. Lastly, our bot data capture is less broad than our Portal data capture -- we need to add a little user-insight into how we might differentiate the experiences or how we drive people to different experiences.
TRY IT OUT
I'll clear out some of our proprietary content engine stuff and API keys and get it up on github in the next couple of days. It's worth it to see a couple of cool things we did with async. I don't think I can share the bot since it is still technically in DEVELOPMENT -- I'll see about getting a sharable version.
Built With
amazon-web-services
mysql2
node.js
wit.ai | LIGHTHOUSE messenger | You spend 99% of your time between doctor visits, the right conversations can change the quality of your health | ['Dave Vockell'] | [] | ['amazon-web-services', 'mysql2', 'node.js', 'wit.ai'] | 13 |
10,494 | https://devpost.com/software/fabulous-four-team-fb-messenger | FB Page
Delivery
Hot drinks
Inspiration
We were inspired by the influence of messaging platforms and how they disseminate information both on social as well as business type ones in Whatsapp. The amount of time people spend and also the instant nature of messaging helps to keep in touch with our family and also business.
What it does
This chatbot helps customers of restaurant to book table, look up menu, check parking, location, opening hours etc..
How we built it
We built it on SAP Conversational AI platform which is very business friendly as always SAP products have been.
We also tried to use Python code to give information about parking facility availability at the time of table booking.
The API we had for Live parking information was in XML format and we tried to convert to JSON and coded the same, but unfortunately we couldn't manage to do the API integration.
Challenges we ran into
The SAP CAI bot builder is even though easy at start it was bit tricky when we started handling loop backs to "Home" page like "return to start", so the user is never lost at the end of the thread with a fallback message. but again we couldn't finish it.
Accomplishments that we're proud of
We integrated SAP CAI with messenger which is straight forward, thanks to SAP. But we were very happy to have learnt so much about messaging and we could see how it can help small businesses even though we couldn't complete the design we envisaged.
What we learned
We learnt a lot, we learnt about conversation AI Bot builders, Python, GitHub, agile way of working, remote working, planning and organizing meetings and tasks on google suite,
What's next for Fabulous Four Team - FB Messenger
We intend to develop from the learning from this hackathon and develop ideas to help businesses automate their standard process and help them reduce cost and time they spend on some activity which can be handled by machine.
Built With
cai
draw.io
github
mindmup
python
sap
Try it out
www.facebook.com | Chat Corner Foods | Team mebers Reavanth, Janani, Louis and Thangs | ['Ramasamy ThangaMuthu Telungupalayam', 'Raevanth Kumar Rajaram', 'Janani Shiva Sri Coimbatore Sreekanth', 'Nguyen Hoang'] | [] | ['cai', 'draw.io', 'github', 'mindmup', 'python', 'sap'] | 14 |
10,494 | https://devpost.com/software/news-hunt | Inspiration
Due to pandemic my father struggled a lot read news, So to improve his online reading.
What it does
It will have a various news papers of different languages.
How we built it
I made it through Chatfuel.
Try it out
www.messenger.com | News Hunt | For a better experience of News Reading of Daily News papers. In this bot , there are various languages of news papers to read. | ['Rakesh Sykam'] | [] | [] | 15 |
10,494 | https://devpost.com/software/netflix-and-chill | Inspiration
Me and my team mate are huge fans of netflix so we took that inspiration and created this chatbot.
What it does
This chat bot allows the user to select the movies or series of their favourite genre and gives the top 5 movies of that genre to the user .
How I built it
using chatfuel
Accomplishments that I'm proud of
I am proud that its my first hackathon and i made it till here.
Built With
chatfuel
Try it out
www.messenger.com | Netflix and Chill | Are u a Netflix addict ...?? Then you are in the right place ...!! | ['K Syam Sravya', 'Sivani Ammula'] | [] | ['chatfuel'] | 16 |
10,494 | https://devpost.com/software/b-tx9k03 | logo
cover
entry
diagnosis
diagnosis
Inspiration
Food security in Africa under serious threat from plant diseases and with the already strained food supply the problem is likely to grow. Pest and disease induced crop losses have devasted farms across the world but thanks to advances in machine learning farmers can detect diseases early through the use of computer vision in the browser or on a mobile device
What it does
It detects plant diseases when a user uploads leaf images with the affected areas and it also shares videos of modern farming practices. There is also a curated list of 4 videos for Maize, potato, soybean and tomato farming which are some of the main crops grown in Africa.
How I built it
I used pytorch and fastai to train a model on the plant village crop dataset, then used flask to build a webhook for Messenger. I used the wikipedia library to search more information on the predicted classes.
Challenges I ran into
First with heroku as I wanted to also add a question answering model but the free tier is severely limited for 2 models so I had to do without it and then embedding a video on messenger I then settle for just the link.
Accomplishments that I'm proud of
It works, somewhat!
What I learned
The Messenger Platform and how to make a webhook with python and flask
What's next for Agrotorch
Add a conversational AI framework like wit.ai, deeppavlov, rasa to make the bot smarter
Grow it into a useful channel for African farmers
Built With
facebook-messenger
flask
pytorch
Try it out
m.me | Agrotorch | A bot that detects plant diseases from leaf images and educates farmers on modern farming practices | ['Rairo Mukamuri'] | [] | ['facebook-messenger', 'flask', 'pytorch'] | 17 |
10,494 | https://devpost.com/software/textcovid-9r4eul | Case study on Jammu and Kashmir
Drone Delivery of Medical Supplies
Mapping
Chatbot Architecture
Inspiration:
The advent of the COVID-19 pandemic is ravaging the globe--from overwhelmed healthcare institutions, the acceleration of transmission, and an increasing death toll--it suffices to say that drastic steps need to be taken to ameliorate the social, economic, and public health impacts of the corona-virus. The decentralized efforts made by governments to resolve the crisis has left much to be desired; social distancing measures have been widely infringed, misinformation is rampant, and growing fears mount over spontaneous outbreaks of the virus after 2020. There is an inherent lack of efficient resource distribution, be it in terms of essential services to local people or health care supplies to hospitals. Moreover, the traditional emergency response supply chain appears to be breaking up due to the novel nature of the crisis. About 350 million people around the globe are experiencing emotional imbalance due to multiple factors including uncertainty about the future. Should a vaccine be available for distribution, major accessibility concerns remain over the implementation of a worldwide vaccination effort.
The solution:
★
To that end, we designed a virtual assistant or chatbot massaging. Users will be able to communicate to the chatbot, a cloud-based instant messaging platform that has over 400 million monthly active users. Any question the user submits will be sent to IBM’s servers, which can answer all questions and retrieve live data from many different APIs. In the event that Watson Assistant cannot find an adequate answer, we run the question through our custom FactBase algorithm. We provide users with accurate information about government responses, emergency resources, statistics on COVID-19, and what they can do to help (behavioral guides, linking to charities).
★
Users can enter in supposed rumors to check if they have a factual basis. We use the transformer neural network BERT for natural language inference in order to detect if a statement is a rumor. To do so, we check the entry against the most similar sentences from the FactBase and see if it contradicts one of our facts. If it does, it is declared a rumor. If it entails one of our facts, we declare that it is a fact.
★
The facts that FactBase uses are automatically updated. An admin with access to the database would enter URLs to articles that contain information that should be added to the database. The program downloads the contents of the webpage and scans the text. Using Latent Semantic Analysis, the program constructs an extractive summary of 10 sentences, which are added to the database. In future queries from users that are fed to the FactBase, these sentences will be available as responses.
★
Data will be extrapolated to make automated assessments about a user’s mental health using a sentiment analysis engine -- users will be directed to recognized psychologists in a self-improvement portal or a specialized virtual program in order to meet their needs. To ensure that the pandemic is thoroughly addressed, sufficient herd immunity must be established with far-reaching and timely vaccination campaigns. Currently, deployment strategies contain gaps that exacerbate the potential of accessibility issues; specifically, the most vulnerable and underprivileged groups at risk might not receive vaccines soon enough. We plan to address this by the following steps:
➔
Data from the users about their residential area will be gathered using the chatbot. Users will rate their area based on certain parameters daily. We utilize this grassroots feedback about the accessibility of resources to aid officials in various geographic regions in tailoring strategies that meet the needs of at-risk populations. The officials can reallocate resources accordingly, hence ensuring an equitable distribution of resources. Connecting with essential service companies, we will track crucial features such as physical assets and exploitative behavior such as hoarding to optimize supply chain and increase delivery efficiency. This will help in optimizing future emergency responses by strengthening the strategies used.
➔
Collecting user data for GIS (geospatial information system) based analysis by integrating the Missing Maps project into the chatbot, using radio and governmental news to increase involvement and participation in mapping efforts. This is intended to optimize vaccine distribution by providing coherent delivery directions to remote or rural regions; this effectively minimizes viral reservoirs and carriers in the population.
➔
An innovative drone system using low-power refrigeration (vapor-compression in transportable boxes) will be applied to deliver vaccines and other essential medical supplies to remote regions in a timely manner.
process of Ideation:
Hypotheses
If we provide trustworthy information to people, the spread of misinformation will be reduced.
If we map the supply chains and identify problems, then the emergency response will be improved.
If an efficient and affordable system of vaccine distribution is used, a large health crisis can be mitigated.
Proposed solution
Initially, our team planned on tracking user information from social media activity to accurately trace COVID-19 cases and obtain movement data. However, after research on the implications of the idea, we realized that there were several logistical and ethical issues with such a major undertaking. We decided to target our solution towards a specific region and tailor our strategy to that end to maximize the impact of the solution.
We decided to create a coherent program that supplies resources and information to the citizens in need. After researching various API based integration and assessing the faults within current AI tools, we decided that it was necessary to utilize human feedback and create the chatbot. This chatbot would be the main proponent in delivering accurate and relevant information to the masses, however, it will not be the end to the solution. We decided to pursue a solution because the accessibility of both essential services and vaccines was a major concern, displaying a massive disconnect in society.
Research plan
➔
For our solution, it was found to be important to research the feasibility of medical drones, GIS mapping, the growing industry of telemedicine, the use of AI in healthcare.
➔
To do this, we examined sources from US National Library of Medicine National Institutes of Health, UNICEF, Science-direct, and firsthand accounts of health-care workers during this crisis.
➔
Additionally, we had to conduct extensive research on anomaly detection algorithms and their use in the logistics sector.
➔
For testing the chat-bot, we released a public version to gain feedback from the users.
Case study at Jammu and Kashmir:
Jammu and Kashmir was a state(now UT) in Northern India. It is a distressed region with frequent terror attacks and lockdowns. Only recently the state got some relief after it was declared a Union territory. The state economy was only beginning to thrive again and people were starting to move around; all this happened for a short while until the advent of Covid-19. Srinagar, the capital of Kashmir, was amongst the first cities in India to be declared a high-risk zone. We decided to make a solution that is not only localized to this region but scalable to other regions that are similarly going through the heightened social and economic hardships caused by COVID-19.
As shown in
figure 1
above
Chat-bot Operations
This chat-bot is designed to help disseminate trustworthy information and facts about the pandemic to the public. By answering questions and detecting rumors, it will help create a more informed public who will be able to make educated decisions. Users will be able to ask chat-bot any question regarding the pandemic. The chat-bot will provide a quick and information-packed response.
Upon receiving a message from the user. Upon receiving the message data, our server sends a request to IBM’s Watson Assistant and Discovery APIs. IBM’s Watson Assistant and Discovery API can answer most questions and has the ability to get live data from many different APIs. In the event that Watson Assistant cannot find an adequate answer sends our server an error, we run the question through our custom FactBase algorithm. Using google’s Universal Sentence Encoder, we convert the question into a 512-dimensional embedding vector. Additionally, we store hundreds of sentences and their corresponding embedding vectors in a K-Dimensional Tree data structure. We query the K-Dimensional Tree data structure with the questions embedding vector to find and return the response associated with the closest response embedding vector.
Other Features of our Chat-bot Platform:
Auto-Summarizer
In order to add new facts to the FactBase as soon as they are published, we have produced an Auto-Summarizer capable of selecting sentences from the article that best describe its contents. We perform this extractive summarization using an unsupervised approach. We use latent semantic analysis to select a diverse set of sentences that represent the article. For each selected sentence, we insert it, along with its 512-dimensional embedding, into our SQLite database for future use. We can collect articles either manually or automatically through the use of news APIs.
Rumor Detection
We also utilize the FactBase to fact check rumors. Users can enter potential rumors they want fact checked into a separate chat-bot that also operates on Telegram. The bot returns a guess of the truth value of the claim, along with facts that could potentially entail or contradict the claim. In order to detect whether a fact in our FactBase either contradicts or entails the claim, we use BERT, a state-of-the-art transformer network for the natural language inference task. We only compare the claim with some number of facts most similar to it from the FactBase.
Supply Distribution:
Drone Delivery of Medical Supplies
We will use unmanned aerial vehicles to deliver essential medical commodities like testing kits, vaccines, and antiviral medicine to underserved and geographically rural communities around the world. To combat problems with GPS, drones are based on vision based precision target landing in which the camera is able to identify man-made structures to accurately deliver items. An inexpensive vapor-compression refrigeration system (uses R600a refrigerant) based on solar power will be used to safely store temperature sensitive items.
As shown in
figure 3
above
Mapping
Our virtual assistant/chatbot platform will integrate the OpenStreetMap, a NGO platform of volunteers that independently contribute to a world map by ascribing structures, paths, and infrastructure in their region. Using media like radio to persuade residents to map their areas to aid in public health campaigns such as vaccine distribution, we intend to engage citizens to streamline the process of reaching isolated communities in light of the global pandemic.
As shown in
figure 4
above
Reflection:
Impact
We were able to help the public of Jammu & Kashmir acquire trustworthy information about COVID-19. Additionally, we were able to map public attitudes and vaccine inaccessibility by geographical area, to facilitate improved vaccine and supply distribution in the future.
Scalability
Our solution has the potential to be adapted to the different needs of the government even after the crisis ends. It may be used for a trustworthy information campaign, an efficient feedback mechanism, or for logistical analysis. Our solution is sustainable and efficient in terms of both usability and outreach.
Next Steps
The next steps are to integrate our virtual assistant and accessibility efforts into multiple localized regions for governments and organizations to implement. We hope to gather user feedback from citizens who utilize our application for improvement. We also hope to further integrate different methods to curtail the spread of COVID-19, unify different efforts on a singular platform, and investigate the possibility of connecting citizens to researchers and leaders with a feedback/grievances receptor. We would also like to investigate more effective ways to test people for COVID-19, such as different diagnostic methods, decreasing cost through alternative tests, and more.
Try it out
github.com
drive.google.com
drive.google.com | TextCOVID | TextCOVID brings together COVID-19 resources into one privacy-forward, accessible, unified, and easy-to-use automated texting service. | ['Mohamed Hany'] | [] | [] | 18 |
10,494 | https://devpost.com/software/stiphy | Inspiration
When I was 17, my mother asked me to write a check and deposit it in our account as she was busy somewhere else. I was very nervous for the task because I knew nothing about it. I accidentally ended up making so many mistakes while writing the check that I had to put 3 checks to waste, not to mention the amount of embarrassment I had to face.
This is not new. Students all around the world are generally clueless about some very importance aspects of financial literacy. A quick search suggests that lack of financial literacy goes way beyond than public embarassment. A report on the results of a financial literacy exam found that high school seniors scored on average 48 percent correct and according to the 2008 wave of the National Longitudinal Survey of Youth, only 27 percent of youth knew what inflation was and could do simple interest rate calculations.
Source:
This shows how the lack of financial literacy is so prevalent among students. Due to this, many students are confused about their money and often times become a victim of fraud.
What it does
The chat bot provides bite sized knowledge about most of the questions related to financial literacy. From questions like the difference between credit and debit cards to how to save oneself to become a victim of fraud.
How I built it
I built it using Dialogflow and integrated my AI bot with Messenger.
Challenges I ran into
1) Finding the most accurate and authentic information.
2) Going through tons of heavy documents and summarizing them to bite sized information.
Accomplishments that I'm proud of
1) I talked to different students around me to see which aspects of financial literacy is needed the most. I used that information due design my bot. Hence, I am proud of using a data driven approach.
2) I tried to make sure to make my bot as user centered as possible by providing bite sized but important information.
What I learned
Dialogflow, creating webhooks, using nodejs etc.
What's next for Stiphy
Apart from financial literacy, I also want to make Stiphy an enabler of financial inclusion by making it easy to make and receive payments using messenger,
Built With
dialog-flow | Stiphy-Your Money Management Advisor | Making financial literacy more accessible than ever | ['Swaleha Saleem'] | [] | ['dialog-flow'] | 19 |
10,494 | https://devpost.com/software/machine-learning-bot | Some basic information about Machine learning
Inspiration
Being an Enthusiastic learner,Thought of learning new technologies,excited to work on some useful projects in day to day life.
What it does
it gives some basic information regarding Machine Learning
How I built it
I am a beginner know some basics about api's,javascript,nodejs but for creating this chatbot i just used chatfuel and messenger
Accomplishments that I'm proud of
I faced some of the troubles but learnt from things and about to sumbit my work within less time
What's next for Machine Learning Bot
I want to implement this Machine Learning bot more in detail using programming backend and front end so that everyone can learn a lot about ML from this bot itself.
Built With
chatfuel
facebook-messenger
Try it out
m.me | Machine Learning Bot | To get basic information about ML | ['Bhanu Sri Ramisetti'] | [] | ['chatfuel', 'facebook-messenger'] | 20 |
10,494 | https://devpost.com/software/jee-exam | Inspiration
JEE exam is one of biggest exam in student life.Generally most of the students gets confused about the books they choose and courses they prefer.So,I hope in order to provide them best books and courses this chatbot will be very useful.
What it does
It provides materials , tips ,best courses to crack JEE examination.
How we built it
This chatbot is made by using chatfuel platform.
Challenges we ran into
While bulting this chatbot we face many challeges in selecting the best courses books.We consulted many IIT'ans to prefer tips and books
Try it out
m.me | JEE Exam | Jee Mains Library | ['Aakash Varma Mudunuri', 'Aniketh Varma Mudunuri'] | [] | [] | 21 |
10,494 | https://devpost.com/software/ai-doc-r0bfzm | Home Page1
Home page 2
Appointment Booking form
Volunteer details form
Covid Risk Calculator
Inspiration
The current pandemic has affected a lot of people. It will leave an enormous impact on our lives. In the current situation, many people could not visit hospitals due to the fear of COVID-19. So this inspired us to create a chat-bot and that makes an appointment for a virtual meeting with the doctor. There is also an option for volunteering. Interested user can volunteer in hospitals.
What it does
This messenger chat-bot helps the user to connect with the the doctor virtually. When we try to book an appointment then the chat-bot redirects us to a website where we can book the appointment with the doctor by giving our details.The doctor will receive an email from the bot mail I'd to confirm or reject the appointment.
It also have HelpDoc option where the user can volunteer in hospitals near by his location. When the user selects 'Helpdoc' the the chat-bot directs the user to website where he/she can enter their details.
The website also contains a COVID Risk Calculator that predicts the risk of the user when required details are entered.
How we built it
The messenger chat-bot is built with Gupshup. We also used 'Quick Replies' in this chat-bot.
The website is built with react and framer motion.
The COVID Risk Calculator is bulit using nodejs
Challenges we ran into
We faced some problems with server, gupshup
Accomplishments that we're proud of
We are proud that it's working.
What we learned
We learned heroku, nodejs, teamwork and team management
What's next for AI-Doc
I thank the deeplearning.ai for creating AI for medicine specialization. Through Their courses, we have done this project. Later our team is planning to extend this project by deploying models which can predict the existance of corona virus by checking images of chest x-ray and CT scan of lungs which were taught in the first course and based on the reports, We are planning to create a chatbot trained using BERT model for question answering systems.
Built With
framermotion
heroku
node.js
react
sms-gupshup
Try it out
m.me | AI-Doc | A better way to get connected to a doctor | ['Vedha Krishna Yarasuri', 'Naveena Kota'] | [] | ['framermotion', 'heroku', 'node.js', 'react', 'sms-gupshup'] | 22 |
10,494 | https://devpost.com/software/pinakulo-events | Messenger Experience
Inspiration
To simplify information flow of our events
We have an edTech startup in Bhopal, Madhya Pradesh and we always have some or the other events coming up all the time and we take a huge time trying to help students understand what the event is , and other details such as speakers and everyone else hence our main goal was to build a very simple experience that gives the most important details in the shortest amount of time.
What it does
The experience is pretty simple it helps you get basic understanding of our events basic details like Venue, Date and Time are there but in case required it can be extended to anything
How we built it
We leveraged the complete Messenger platform by FB and given that we had never used Node.Js the app is simple but we are proud of it. Because we learned Node.Js went through a lot of tutorials learnt a lot and finally arrived at our vision.
Challenges we ran into
WebHook configuration was the biggest challenge given that we had never worked on any NodeJs app though the documentation is straightforward it took us a good amount of time to figure that out.
Accomplishments that we're proud of
Building the App in itself is an accomplishment we never thought we would be able to do that as we had 0 experience with Messenger bots and Node JS we did what we set out to
What we learned
NodeJs
and Team Work as we rarely work on new technologies this was a great way to do that
What's next for Pinakulo Events
To build a more beautiful experience with images and everything but also to scale this and send this to our customers to get the feedback
Built With
messenger
node.js
Try it out
m.me | Pinakulo Events | Ask me everything about the events happening around you. SignUp and get details about the events happening near you in one simple message. | ['Akshat Bahety'] | [] | ['messenger', 'node.js'] | 23 |
10,494 | https://devpost.com/software/metal-82pxnb | Logo
Inspiration
In Vietnam, we notice a tendency in which Messenger users usually
send themselves or their clones links and files, to save for later use or transfer across devices
. It is considered convenient for them as Messenger is among their most frequently used apps and it is also easy to access. "Why do they have to do that?" we asked. Going beyond observing, we did a comprehensive examination of Messenger, which allowed us to see that there are no tools to help them with such a problem. Shared files on Messenger only support files uploaded from computers but not links, for example; searching for file names or links does not work well either as it excludes tones in Vietnamese, making it harder to find the exact item that users are looking for.
Having identified the problem, we assessed user behavior. They use Messenger to save notes for its convenience, so we thinking should a little modification or a similar tool is good enough to facilitate the process and to avoid forcing them to learn and use something new. And a chatbot may do the trick: It is on Messenger, easy to use and search. We named it Metal, and that is its and our story.
What it does
Mental is a simple and user-friendly chatbot, with its basic process is as follows:
The user sends an item(s) (texts, link, files, etc) to Mental
Mental asks them to label that item (create an easy-to-remember related name)
The user replies to the message that contains the item(s) above and types a unique name into the chat to label
Mental notifies that the item is saved
Other functions:
The user can see the list of labels. He/she can also search for labels to get access to the right item(s) after saving and cancel the search to come back to normal chat mode.
Built With
heroku
postgresql
python
rest
Try it out
m.me | Metal | Linh | ['Linh Nguyen', 'Nghĩa Võ Văn'] | [] | ['heroku', 'postgresql', 'python', 'rest'] | 24 |
10,494 | https://devpost.com/software/savelife-sbydor | AI Rules
Opened in messenger
Automated tasks
Chat Fuel environment
Inspiration
This pandemic is so aggressive on mankind.We can witness the disapperance of our people due to the attack of covid. There are so many needs for the covid effected patients.Among them, plasma and oxygen are major ,and there is a lack of these life savers at many places.To provide a platform to hand over a help is the idea that triggered me.
What it does
This chat bot welcomes all the people to donate plasma and oxygen.So that, these resources are bundled and distributed when the patient requires.The donor data is stored in Google sheets and the donor will be contacted for donation details.
How I built it
-I developed this chat bot with Chatfuel software.
-Blocks are organised and user data is saved.
-Google sheets to save user data.
-Integrated AI rules
Challenges I ran into
-Integrating JSON API for retrieval of data
-Webhooks integration
Accomplishments that I'm proud of
Many useful bots are there but not all can be lifesavers.I feel proud to take up a project to help the needy.
What I learned
New Technology like chatfuel, Plugins, JSON API, Webhooks, Many third party platforms, Test case experience.
What's next for SaveLife
-I am developing the functionality part of retrieving and displaying the available data to the receiver than only taking data from donar.
Built With
chatfuel
sheets
Try it out
www.messenger.com | SaveLife | Donate and save lives | ['Nandana Sidda'] | [] | ['chatfuel', 'sheets'] | 25 |
10,494 | https://devpost.com/software/share-details-securely | Inspiration
My app is really inspired by my experience with going to the restaurants after the lockdown. Most of the restaurant collects the main dinner's name and phone number in a piece of paper. I see two problems with this first we need to physically handle the paper and pen, and the data is there for everyone to look at ( no privacy).
What it does
My app will be messenger based where restaurants can register, all the data will be stored in a cloud database ( amazon dynamo db). When a customer visits the restaurant they can use messenger to enter the restaurant name and its zip code. ( In a future iteration I want to do it using a random number or a QR code). The customer can also choose to be notified via messenger using the One Time Notification feature ( this is shown in the demo, however, it does not work, I haven't figured how to make it work in the backend)
Now if the restaurant had a visitor who was covid positive they can use the app to send notification to the customers from a selected date range. ( I have not built this feature or showcased it in the submitted video )
How I built it
I used Dialogflow as the backend which in turn calls an API as a webhook fulfilment. The Webhook API is built using API Gateway in AWS which in turn uses Lambda function to insert data into Dynamo DB.
Challenges I ran into
There were multiple challenges which I ran into, firstly choosing the right chatbot as backend. I had almost built the whole interaction script using Amazon Lex, when I realised that Lex did not support Quick Replies. Since this is something I wanted to showcase I had to choose Dialogflow. Even in Dialogflow, I have not yet figured out how to read feedbacks when the user chooses to be notified.
I almost think I need a layer in between Facebook Messenger and the chatbot.
Accomplishments that I'm proud of
This has been a humbling experience for me. I did not know anything about chatbots when I started this hackathon, and I had theoretical knowledge of AWS services ( given I passed AWS SA cert last month). I learned a lot, and if I had to start building for the hackathon I would choose different tech stack probably.
What I learned
The main learning point would be how messenger can be used as a front end for any users. I always thought you needed to build an app ( android or ios) to expose a feature to users. I would explore chatbot in the future.
What's next for Share Details Securely
Probably make the application working. I have only submitted basic functionality, to be honest, there is not much built into the app right now. It just enters data into a DB. I would like to build it fully and make it public. Given it is a real-world use case I believe people would benefit from this app. Especially pub or restaurants which cannot afford to have a custom app of their own.
Built With
amazon-api-gateway
amazon-dynamodb
amazon-web-services
dialogflow
facebook-messenger
lamb | Share Details Securely | My app lets pub owners and customer share details securely by using Facebook messenger. | ['Sanghapriya Bose'] | [] | ['amazon-api-gateway', 'amazon-dynamodb', 'amazon-web-services', 'dialogflow', 'facebook-messenger', 'lamb'] | 26 |
10,494 | https://devpost.com/software/cofact-a-crowd-sourcing-fake-news-buster | User can search for opinions from the comminity about any dubious messages.
Overview
User can submit new dubious messages through Messenger.
User can get opinions of dubious messages from the comminuty members.
Inspiration
We're bored receiving dubious messages and need to fact-check every one of them to find out that the sender of the original message have already moved on to spread the other messages, and the professional fact-checkers were too busy to fact-check for us.
It's time to democratize fact-checking with cofact where everyone can give opinions about any dubious messages, and share this through cofact. Even better, we can do this on Facebook Messenger.
What it does
User can submit dubious message through
Facebook Messenger
. The bot will check whether the message matched any dubious messages on
Cofact
. If matched, user can choose via
Message Templates
to see other Cofact users' opinions about that message, and make decision.
How I built it
We use
node.js
hosted on
Firebase
.
Challenges I ran into
The language. The current
Cofact database
were in Thai, and we have to make some of them support English, well, non-native speakers, you know.
Accomplishments that I'm proud of
Our team were on the full time job, and the main developer can pull this off during the national long weekend. ❤️
What I learned
Designing user experience for the bot is not difficult, but not easy.
What's next for Cofact: a crowd sourcing fake news buster
Cofact bot is still rough edge and need to improve on English localization. We plan to
Improve the user experience on
Cofact
and the bot
English L10n
Built With
firebase
node.js
Try it out
m.me | Cofact: a crowd sourcing fake news buster | Fake news is everywhere and it's impossible to ask the professional fact checkers to check all of them. Cofact democratized fact checking and let the audiences decided which opinions are true. | ['Patipat Susumpow', 'Sudarat Yawutthi'] | [] | ['firebase', 'node.js'] | 27 |
10,494 | https://devpost.com/software/currency-converter-a18ml2 | Inspiration
I wanted to create a messenger app which can be used to get exchange rates of currency.
What it does
It gets the exchange rate of a currency in terms of USD or gets the exchange rate in terms of any currency.
How I built it
I used the wit.ai platform to train the utterances and used the wit.ai messenger quick start to build a messenger experience around it.
Challenges I ran into
I faced some difficulty understanding the messenger ecosystem, then I used the sample code as a baseline for my project.
Accomplishments that I'm proud of
I am proud of completing this in a short frame of time.
What I learned
I learnt about the wit.ai ecosystem.
What's next for Currency Converter
Improve User Experience.
Built With
node.js | Currency Converter | Created an AI-powered messenger application for currency conversion and exchange rate needs. | ['Rohan adv'] | [] | ['node.js'] | 28 |
10,494 | https://devpost.com/software/medibot-kxpblz | Inspiration .
The food delivery applications inspired me to create this..because we have food delivery apps to get food which connected with all the restaurants like that why cant we connect all the hospitals for making appointments and for many things
What it does
It'a messenger chatbot its a connection of all hospitals in that particular location. In that chatbot we can send our details and the hospital details which we want to consult [the details are highly secured] All that details are sent to respective hospitals and they will contact the patient for appointment
Incase the patient doesnt know the hospitals or doctors we provided the list of doctors and their locations near to their locality so that they can find the hospital near to them and they can apply for appointment.
How we built it
we built it by using chat fuel application.. we made it as trial version so its not be efficient actually we made it without using any programming codes
Challenges we ran into
first of all i didnt take it as a competition. To explore my knowledge i use this as a good platform
Accomplishments that we're proud to be a technical social provider
What we learned
we learned how to make chat bots and many more simply we learned how to apply our skills into expertimental things
What's next for MEDIBOT
i want to make it as an application and having all the hospitals together
Built With
chatfuel
Try it out
www.facebook.com | MEDIBOT | To be a Healthy world | ['18Pa1A0519 Batchu Kedareswara Abhinav', '18Pa1A0520 Bavirisetti Navya Charitha'] | [] | ['chatfuel'] | 29 |
10,494 | https://devpost.com/software/learn-what-you-want | Inspiration
In this pandemic situation i searched many websites to know which are the best courses and best online platforms to learn but I didn't found a good website to know and finally I consulted my faculty and my seniors and then I registered to the courses . Then i felt that if there is any chatbot which can suggest me which course is better to learn.
Now I created a chatbot which can suggest me best online courses from various platforms from which field i want.
What it does
When user selct a particular field which user want to learn It will give the top online courses from various platforms for that field and then by clicking a single button.
If top courses are sufficient to user it will give the various top platforms by selecting any platform it will redirect user to that platform there we can see the courses which are refered to user selected field.
How I built it
By using chatfuel and many online courses platforms i built it.
Challenges I ran into
It took very long time to search for best online courses.
What I learned
I learned patiency is very basic need to built anything.
What's next for Learn what you want.
Want to add many many courses.
I want to build database which can give courses which are registered by user.
It should give dedlines for the courses registered by user.
It should give videos links for courses registered by user.
Built With
chatfuel
javascript
Try it out
www.messenger.com | Learn what you want. | It is necessary to Learn or Skill Up by your self by doing Online Courses mainly in this pandemic situation everyone want learn something . By using this chatbot it is very easy to find courses. | ['badari narayana'] | [] | ['chatfuel', 'javascript'] | 30 |
10,494 | https://devpost.com/software/sr-mobi-world | Inspiration:- My inspiration is if we want to buy an item we have to go to shop and buy but by using this chatbot we can buy what we want.
What it does:- It is about the sales of mobiles and repairing and accessories.
How I built it: I have build it using Chatfuel
What I learned:- I have gained much experience in preparing chatbots.
Try it out
www.messenger.com | SR MOBI WORLD | THIS IS ABOUT BUSINESS TO GROW BY SOCIAL MEDIA AND PUBLIC AND CUSTOMERS CAN EASY TO UNDERSTAND THE PRICES AND DIRECTLY CONTACT THIS IS VERY USEFUL | ['POORNA CHANDRA GUPTHA VARANASI'] | [] | [] | 31 |
10,494 | https://devpost.com/software/covid-19-details | Inspiration
covid details idea is very useful for communicating people.
What it does
This chat bot gives information of covid-19 and near hospitals with images and it also gives the information of total cases,deaths and recovered cases.
How I built it
I built this using gupshup.io platform.
Challenges I ran into
getting lots of errors,understand why i am getting errors then i modify my code.
Accomplishments that I'm proud of
getting my output.
What I learned
How to create an interactive facebook chat bot using gupshup platform.
What's next for COVID-19 Details
try to improve my covid-19 idea.
Built With
javascript
Try it out
www.youtube.com | COVID-19 Details | This project shows the interactive facebook chat bot system for COVID-19. | ['ramya ganta', 'leelabhavani ganta'] | [] | ['javascript'] | 32 |
10,494 | https://devpost.com/software/book-genre | Inspiration
As the people are interested on different types of stories so i focused to build different categories of books so that they can easily find the required once.
What it does
This chat bot helps the one how interested in reading books of their own choice.
How I built it
By using the Chat fuel concept.
Challenges I ran into
No i didn't came across any challenges
Accomplishments that I'm proud of
confidence,that i can move a step forward..
What I learned
how to create the chat bot ,according to our requirement.
What's next for Book Genre
As per my view what i have done is maximum covered in book genre but one thing that is sending the update details to interested one's.
Built With
chatfuel
Try it out
www.messenger.com | Book Genre | This Project is all about knowing different types books and authtor. | ['18Pa1A05F8 Thumpati Jyothi'] | [] | ['chatfuel'] | 33 |
10,494 | https://devpost.com/software/offers-zone | screenshot
screenshot
screenshot
screenshot
screenshot
Inspiration --> I get excited when i see new offers...and then I start shopping...I thought that why don't all shopping offers avaliable in one Area.So i decided to create offers zone bot.
What it does -->The main agenda of my chatbot is to make the customers save their time in shopping. This chatbot provides the offers on the products available in the required malls. So that customers can easily go through all the offers and their interests in less time and without much physical strain. Added advantage on my chatbot is offers can be made available even offline. So that no network issues can interrupt their search for their required one.
How I built it --> By using Chatfuel
Accomplishments that I'm proud of
What I learned --> I have experienced of doing this chatbot
I hope you like my idea , I can develop further with your cooperation. Thank you!!
Try it out
www.messenger.com | Offers zone | The main agenda of my bot is to make the customers save their time in shopping.It provides the offers on the products available in all the e-commerce websites and offers be available even offline. | ['Tanuja Suvvada'] | [] | [] | 34 |
10,494 | https://devpost.com/software/restaurant-hxbg41 | Inspiration:- My inspiration is if we want to know about the restaurant we have to go to the restaurant and know about it. Without going to restaurant we can know about it and its items by using this chatbot.
What it does:- It shows the menu in the restaurant. It is used to reserve a table. We can know about the items in the restaurant. Its shows the address of restaurant also.
How I built it:- I have built it using a chatfuel.
What I learned:- I have learned about the chatbots. I have gained experience about how to make a chatbots
Try it out
www.messenger.com | Restaurant | The main agenda of my chatbot is to know about the restaurants. It is used to reserve a table from our home also. | ['rakesh varanasi'] | [] | [] | 35 |
10,494 | https://devpost.com/software/health-bot-n3xbyt | Inspiration
Unfortunately,the latest statistics on medical deaths have stated that most of the people are dead since they could not get proper firstaid in emergency.To prevent this,I came up with this chatbot which could help others in emergency situations by providing health guidelines and firstaid measures.
What it does
This chatbots tells us how to handle emergency situations before the arrival of ambulance.
How I built it
chatfuel
Challenges I ran into
To select an idea for the hackthon
Accomplishments that I'm proud of
What I learned
Creating chatbots using chatfuel,dialogflow etc.
What's next for Health bot
To provide further treatment by consulting the docter online.
Built With
chatfuel
Try it out
www.messenger.com | Health bot | Emergency health assistant | ['Pechetti Ramya sri'] | [] | ['chatfuel'] | 36 |
10,494 | https://devpost.com/software/games-chat-bot | Ludo game
chat
temple run
some chat
survey
Inspiration
Being a beginner to web development, I was excited to work on a project involving a lot of web-related concepts,
leveraging APIs, computer vision and at the same time making something that I could use every day.
What it does
Games are more important for decreasing the stress! A day for some people cant end without playing even i to
love to play the games "Winners never quit and quitters never win" it is very easy to play all the games in one
chat bot instead of installing it .
1. One can ask to play any game then it will generate a bunch of links and the receiver can select any of
those links to play a game
2. Making a bot for this use case makes sense as we all would love to get an experience game scenario as
possible without consequences and the fear of being judged. Having a personal bot at your disposal solves
exactly that!
How I built it
1. Used the messenger platform, with Node.js for the backend.
2. I used some the public games API's for the text it will send the response like links to the receiver.
3. I added some text with emojis.
4. Used surveys for feedback of the chat bot.
5. Used polls to send a message for the receiver
6. I used language "JAVA SCRIPT".
Challenges I ran into
1.It got tedious to maintain and update the state of the user as the messenger platform uses webhooks.
2. Callbacks got pretty nested.
3. Connecting all the APIs and making everything work smoothly.
Accomplishments that I'm proud of
1. I 'm really satisfied with the amount of code I could churn out in a short amount of time.
2. Learnt lots of nitty-gritty details of web development.
3. Glad that I could put up an end to end product.
What I learned
1. Learned how to make an interactive messenger bot.
2. Learned how to host web apps and make API calls in and around.
What's next for Games chat bot
1.I should implement end to end games which have all the games in play store.
2. Should implement conversation more.
Built With
apis
javascript
libraries
Try it out
github.com | Games chat bot | We learn little from the VICTORY,much from DEFEAT | ['sravani kakollu'] | [] | ['apis', 'javascript', 'libraries'] | 37 |
10,494 | https://devpost.com/software/svecw-pv-creations | profile of page
Inspiration
We were inspired by ease to create chat bots which play a major role these days in every site.
What it does
Our online info chat bot helps you navigate through books and videos related to subjects of class VI, VII and VIII. We can further improvise it.
How we built it
We built this chat bot using Chatfuel.
Challenges we ran into
At the beginning we were not knowing what type of chat bot to built but gradually we thought of this idea which may help students to go to their desired class subject videos.
Accomplishments that we're proud of
We are happy that we were able to do this.
What we learned
How to make it user friendly is what we learnt.
What's next for SVECW PV CREATIONS
Upgrading it, making it more and more so that it could reach majority audience.
Built With
chatfuel
Try it out
www.facebook.com | SVECW PV CREATIONS | LEARN BY YOURSELF | ['Mayukha Sri Vasavi', 'Priya addanki'] | [] | ['chatfuel'] | 38 |
10,494 | https://devpost.com/software/dr-messengeer | Inspiration
The whole world is in the pandemic situation.This project create some awareness as well as confidence to overcome the virus.My family also suffering from carona .so,i want to create some awareness to the people.
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for DR.messengeer
Try it out
www.messenger.com | DR.messengeer | #DR.messenger | ['Guntuku Manikanta Rama Sumanth'] | [] | [] | 39 |
10,494 | https://devpost.com/software/for-higher-education-information | Inspiration : When I was studying my 10th class I was fully confused to take my next step towards my career.so I developed this chatbot for people like me who don't have enough scope towards their career.Hope it will be helpful
What it does : It gives us the information about further studies like different streams and different carreer options.
How I built it : By ussing chatfuel
Challenges I ran into : Not really
What I learned : I learned how to built my own messenger chatbot and how to be competitive in this world.
What's next for For Higher Education Information : I wanna include some more information for extending my chatbot. By extending my chatbot it will be helpful to many people.
Built With
chatfuel
Try it out
www.messenger.com | For Higher Education Information | It gives us the information about further studies like different streams and different carreer options. | ['Pranathi Thota'] | [] | ['chatfuel'] | 40 |
10,494 | https://devpost.com/software/quiz-and-movie-info-bot | Inspiration
I just want to test myself,I tried my best to make this.This was a memoriable experience
What it does
This bot gives some information about movies and it can also be used to play quizs.
How I built it
Technologies:
1.Gupshup Platform
2.JavaScript
3.Facebook Page Integration.
Challenges I ran into
Gupshup was a new platform for me, it was difficult for me to know the basic syntaxs and semantics.
What I learned
I learned to use a new platform called gupshup for making chatbots.
Built With
gupshup
javascript
opentdbapi
Try it out
m.me | Quiz And Movie Info Bot | This bot can be used to know the move details and this bot can also be used to play fun quizs. | ['Vamsi Javvadi'] | [] | ['gupshup', 'javascript', 'opentdbapi'] | 41 |
10,494 | https://devpost.com/software/interview-simulation-bot-ascrhw | Inspiration
The Inspiration for making this bot to help few people who are facing issues in attending interviews and not get selected for lack of communication skills. So I planned to make a bot which is very helpful for Students.
What it does
It helps the Students to crack the interviews.And also helps the Students to overcome there issues in communication Skills
How I built it
I built this bot with help of Chatfuel Software.
What's next for Interview Simulation Bot
After interview Simulation bot I decided to make some useful bots which are usefuel for Society
Built With
chatfuel
Try it out
www.messenger.com | Interview Simulation Bot | What to Do Before, During and After Your Interview | ['Veerababu Devalla'] | [] | ['chatfuel'] | 42 |
10,494 | https://devpost.com/software/job-searcher-gqcayp | prefered jobs
Taking inputs
Resume suggestions
Inspiration
We are students and fed of browsing many websites for searching jobs.So we thought why can't we provide a bot where everyone can find the required jobs based in their preferences at one place.
What it does
It asks the user information like the job role he want to search and the country and gives the relevant output to the user .The user can see the original website,he can directly apply, he can even ask some tips to build the resume.
How I built it
We have mainly concentrated on the UI part ,so we have built it using the chat fuel (easy platform to build the chatbots).
Challenges I ran into
Accomplishments that I'm proud of
We are proud that we have successfully created a bot that is available and useful to most of the people in the world through messenger.As messenger is the most using platform by people now-a-days.
What I learned
I learned How to use Chatfuel to build chatbots.
What's next for Job Searcher
The next to Job Searcher the Hr team can give the information regarding the jobs opportunities to the bot.And have a direct videocall for the virtual interview with the job seeker on the prefixed time.
Built With
facebook-chat
facebook-messenger
photoshop
Try it out
www.messenger.com | Job Searcher | A right place to search jobs and get wonderful tips to build a resume to apply. | ['Hima Bindu Kollepara', 'sowjanya Virajitha', 'Divya Sai'] | [] | ['facebook-chat', 'facebook-messenger', 'photoshop'] | 43 |
10,494 | https://devpost.com/software/quizzer-pv95te | Inspiration
I took this idea from my childhood....as kids we always love to learn things with fun. quiz is one such thing which i always loved & learned new things.
What it does
quizzer is a chat boat that would help you explore fun time quizzes on various topics for different level of people.
How I built it
As, I do not have proper knowledge on coding languages i built it using chat fuel.
Accomplishments that I'm proud of
I am proud that i am using my knowledge to create a chat boat in a practical way.....which is definitely helpful for people who love to learn things with fun.
Built With
chatfuel
Try it out
www.facebook.com | Quizzer! | To buckle up your brain. | ['Kankati Sai Pranavi'] | [] | ['chatfuel'] | 44 |
10,494 | https://devpost.com/software/stockeeper | Stockeeper welcome message with Quick Replies
Maintaining a good dialog flow
One-Time notification for stock price alerts
Stockeeper is able to show your stock allocation and performance
Keeping track of our stock investment
Stockeeper understands human voice
Stockeeper stocks selection with Quick Replies
Inspiration
We invest in stocks to grow our wealth and there are varieties of brokers that offer such services. When we have invested with more than one brokers, it becomes a challenge to keep track of our investment portfolio.
By harnessing the power of Wit.ai, we have decided to build an easy-to-use chat bot that assists individuals with portfolio management and performance tracking. The chat bot ideally provides a natural and fun way for us to organize our investments, making our book-keeping easy and accessible.
What it does
Stockeeper allows users to quickly organise their stock investment and keep track of our overall position. Simply tell Stockeeper the orders you have made by sending a text or leaving a voice message, he will be able to provide analytics such as stocks allocation, overall P&L, daily portfolio performance, and so on.
How we built it
Stockeeper sits in a Heroku application server. The brain of Stockeeper was written in Python, which interacts with Wit.ai and Facebook Messenger during the conversation. An AWS S3 instance was used to host generated images and Apache Redis was used to cache useful information in between sessions. Financial market data extracted from Yahoo Finance are analysed together with users’ trading portfolio.
Challenges we ran into
At the start of the project, it was easy to generate responses for sentences that have less than one entity. However, when we dealt with tasks that required more than one entity to complete, it is common that users do not include all the information in one sentence. We then needed to prompt users to input the missing information. For example, a user may say “I bought 100 shares of Facebook yesterday”, Stockeeper would have to ask users the executed price while remembering the context in the previous sentence. Not until we have made good use of the State Machine design pattern and Apache Redis to store relevant state information, we struggled to maintain this dialog flow.
Accomplishments that we're proud of
We are proud of implementing a solution that provides efficiency in managing our stock investment. Also, being able to train Stockeeper understanding voices with Wit.ai Speech API is a great accomplishment. In addition, we have made a good start in using state machine design pattern which helps maintain a natural dialog flow when users interact with Stockeeper.
What we learned
Wit.ai is a powerful tool that helps extract key information from unstructured text and voice data for building applications. However, we learnt that it is very important not to over rely on Wit.ai. Striking a balance between what our applications should handle and what Wit.ai can predict is important. For example, when a user says “two eight zero zero”, Wit.ai won’t distinguish whether this refers to a Hong Kong stock ticker (2800.HK) or 2800 number of shares. This is very fair because we didn’t provide any prior information to Wit.ai, and only our application knew the full context. In such circumstances, we applied Quick Replies messenger feature to solve the problem. Quick Replies provides a good user experience through pre-filtering available options for users. In our application, we provided users a selection of tickers to choose from when Stockeeper is expecting a stock in the next response.
What's next for Stockeeper
Stockeeper is a proof-of-concept that demonstrates its capability of managing finance-related CRUD tasks. The next focus for Stockeeper would be providing him more analytical power. We want Stockeeper to trigger price alerts based on trading indicators such as MACD, Bollinger bands and RSI, etc. Ideally, we would also like to include as many investment assets as possible apparently because users don’t just invest in stocks.
Built With
facebook-messenger
heroku
python
redis
s3
wit.ai
Try it out
m.me | Stockeeper | An easy-to-use chat bot that assists individuals with portfolio management and performance tracking | ['Chun Tung Wong', 'Sarah Cheung', 'Leo Shek', 'Iris Rodriguez'] | [] | ['facebook-messenger', 'heroku', 'python', 'redis', 's3', 'wit.ai'] | 45 |
10,494 | https://devpost.com/software/trip-planer | book car/bike
book car/bike
book car/bike
book car/bike
Inspiration
To make a trip hasel-free
What it does
it helps you to find a car and bike in different city allowing them to rent
How I built it
i built this on top of aws lex and using different lambda functions running in background
Challenges I ran into
implementing the regular expressions to get user details from documents
Accomplishments that I'm proud of
i learnt a bunch of aws cloud services.this hackathon really helped me a lot in learning the bunch of aws cloud sservices
What I learned
aws lambda ,rest api,textract,aws lex
What's next for Trip planer
To make the bot even better by using aws sumerian and implementing a 3d model with lex
Built With
amazon-web-services
api
lexlambda
rest
textract
Try it out
github.com | Trip planer | when usually go to different cities. people face a lot of problems.so trip planner manages it Hassel-free | ['Johnny basha'] | [] | ['amazon-web-services', 'api', 'lexlambda', 'rest', 'textract'] | 46 |
10,494 | https://devpost.com/software/ipl2020 | Inspiration
my sister
What it does
it tell about the players of Ipl and the amount they spent
How I built it
using chatfuel
Challenges I ran into
for getting idea
Accomplishments that I'm proud of
building a chat fuel
What I learned
building a chatfuel
What's next for Ipl2020
because this is a Ipl season
Built With
chatfuel
Try it out
www.messenger.com | Ipl2020 | To know directly the teams and players of Ipl | ['1DS19EC157 Vunnam Naga Sahithi'] | [] | ['chatfuel'] | 47 |
10,494 | https://devpost.com/software/studentachiever | Getting started
Inspiration
I have missed many opportunities like hackathons, scholarships while I was pursuing my undergraduate. So I searched about the same and found this amazing hackathon. And I thought, why can't I make a chatbot which provides the list of Hackathons, Scholarships, and Fellowships. So that nobody left behind unknowing about these wonderful opportunities.
What it does
StudentAchievers
chatbot lets users know the list of Hackathons, Scholarships, and Fellowships.
How I built it
I have used the Facebook messenger instant messaging platform. A no-code platform called Chatfuel as well.
Challenges I ran into
No challenges faced.
Accomplishments that I'm proud of
Anybody who leaves a message to this chatbot is able to be aware of Hackathons, Scholarships, and Fellowships happening around the globe. That's what I'm proud of.
What I learned
I understood the vast opportunities of chatbots, how a chatbot can simplify and make huge impacts on human life.
What's next for StudentAchiever
In this technologically advanced modern era, new Hackathons, Scholarships, and Fellowships are being announced day by day. I will add those to the
StudentAchievers
chatbot accordingly on the go.
Built With
chatfuel
facebook-messenger
nocode
Try it out
m.me | StudentAchievers | Know about Hackathons, Scholarships, Fellowships. | ['Muhammed Nihad'] | [] | ['chatfuel', 'facebook-messenger', 'nocode'] | 48 |
10,494 | https://devpost.com/software/real-estate-lupov9 | Inspiration
I have faced problem in first.Later Some Modification it worked perfectly.
From this bot we can search buildings and appartments in Rajamundry
How I built it
I used messenger's bot framework, leveraging quick replies to keep a standard format for user responses and making the app user friendly.
What I learned
I learnt how to build bots in different platforms.
Built With
bot-framework
messenger
messenger-extensions
Try it out
m.me/104414261406787
Try it out
www.messenger.com | Real Estate | shows bulidings Information | ['18Pa1A05G3 Vadlamuri Veera Venkata Kumar'] | [] | [] | 49 |
10,494 | https://devpost.com/software/books-for-btech | Inspiration
Inspiration
My inspiration is the way chatbots are evolving day by day and I got inspired by the way my mentor taught about the chatbots and their uses and I decided to start learning about bots.
What it does
What it does
It is a bot which displays books based on the user choice related to the stream of Engineering.
How I built it
How I built it
I have used Chatfuel.
Challenges I ran into
Challenges I ran into
The only challenge I faced is the time.
Accomplishments that I'm proud of
Accomplishments that I'm proud of
Though it is a small bot I feel proud because it is my first bot and it will help me for further hackathons.
What I learned
What I learned
I have learnt the process of making a bot and experienced the way hackathon are conducted.
What's next for Books For B-Tech
** What's next for Books For B-Tech**
I would like to learn more and extend the process of bot. | Books For Btech | It is a bot which will display textbooks related to B-Tech as per the selected branch. | ['Prabha Kalidindi'] | [] | [] | 50 |
10,494 | https://devpost.com/software/career-guide | Inspiration
Since we are under graduates we are preparing for campus placements, as it is very difficult to know the eligibility criteria recruit process of each and every company. so i decided to develop a chatbot to resolve this issue.
What it does
This messenger chat bot tells us the Eligibility , Recruitment process and where to apply for a job of different companies.
How I built it
I Built it By using chatfuel website
What I learned
I learned how to build a messenger chatbot and how to be comitative in this competitive World by this event
what challenges you have come across
Not really
What's next for Career Guide
I want to include more companies along with the jobs provided by the companies and extend my chat bot so that many students will get benefited
Built With
chatfuel
node.js
Try it out
www.messenger.com | Career Guide | Career Guidelines , This messenger chat bot tells us the Eligibility , Recruitment process and where to apply for a job of different companies | ['18Pa1A05E7 Shaik Kalesha Vali'] | [] | ['chatfuel', 'node.js'] | 51 |
10,494 | https://devpost.com/software/easyshop-an-e-commerce-chatbot | Inspiration
I'm an undergraduate who is very interested in application development.I recently worked on a project to build an online portal for farmar's to sell their products at a better price.At some point of time,I felt that chatbots are more user friendly than websites or applications.The reason I felt that is chatbots can reach out many people since they are more organized and answers to our queries in an efficient way.Chatbots help transforming shopping into an exciting experience.I wanted to promote my idea, so I came up with this chatbot.
What it does
It creates the best shopping experience to the customers. It also provides customer care services if the queries exceed the chatbots range.
How I built it
I built my chatbot using chatfuel platform.
Challenges I ran into
not really
Accomplishments that I'm proud of
What I learned
I have learnt how to make exclusive chatbots using platforms like dialogflow , chatfuel and voiceflow. This hackthon also helped me to explore many more websites like gupshup , github to add json files and API's to the chatbot.
What's next for EasyShop - An E-Commerce Chatbot
I want to integrate the chatbot to small and local business so that they get benefited.
Built With
chatfuel
Try it out
www.messenger.com | EasyShop - An E-Commerce Chatbot | A smart personal shopping assistant to help people find the best deals. An exciting place for the whole family to shop. Online Shopping made easier. | ['Sruthi Vaskuri'] | [] | ['chatfuel'] | 52 |
10,494 | https://devpost.com/software/online-recharge-bot | Entire Screen Capture Of My Bot
Inspiration :Since Many People Are Facing Many issues To Do Recharge Online.So I Prepared This Bot For Easy Access Of Relevant Websites .
What it does : This Bot Helps U To Do Any Online Recharge By Providing Necessary Links.
How I built it : I Built This Bot By Using Chatfuel.com and I Took The help of Some Google Images.
Challenges I ran into : There Is No Very Tough Challenges.Its Easy To Create.
Accomplishments that I'm proud of :I Am Very Happy For Creating Such A Good Bot For Helping Public.
What I learned : I Learned How To Train A Messenger Bot without Api's and Languages.
What's next for Online Recharge Bot :I Wanted To Do A Bot With Coding And By Using Api's.
Built With
chatfuel
Try it out
www.messenger.com | Online Recharge Bot | Its is used to do online recharge with in less time. | ['Adithya Vardhan'] | [] | ['chatfuel'] | 53 |
10,494 | https://devpost.com/software/gadgetsservo | GadgetsServo
Inspiration
When some gadgets are in repair in our house we just worried about that. So within a minute we can get service numbers.
What it does
This chat bot gives information of service numbers and service registration websites according to gadget name entered by us.
How I built it
I built this chat bot using *gupchup* platform. I do not used any api.
Challenges I ran into
No challenges.
Accomplishments that I'm proud of
I am proud of my patience in searching the service numbers and websites.
What I learned
I learnt how to make chat bots using gupchup platform with coding.
What's next for GadgetsServo
I shall want to make my own api and include in it with more information like precautions,buying,etc.,
Built With
javascript | GadgetsServo | Helps when there is any Gadget is in Service or in Repair | ['18Pa1A0533 Chinthalapudi Satya Rama Tulasi'] | [] | ['javascript'] | 54 |
10,494 | https://devpost.com/software/gate-preparation-bot | GATE Preparation Bot
project screenshot
GATE-Graduate Aptitude Test in Engineering
Inspiration
While preparing for GATE we faced a lot of difficulties like searching for topics and best lecture videos for all those topics.So we came up with an idea to build a Chatbot which helps all the GATE aspirants to find all the information easily without any difficulty.
What it does
It is a platform to enrich GATE aspirants by providing quality gate information like GATE Registration details,Exam dates,Eligibility details,topics to prepare and all the lecture videos for those topics.
How we built it
By Using Chatfuel-A Chatbot Building Platform
What we learn
we learn how to make some advanced chatbots on different real time problems.
What's next for GATE Preparation Bot
we try to update the chatbot by including other Engineering Groups and more other advanced videos as per the GATE syllabus.
Built With
chatfuel
gatewebsite
youtube
Try it out
www.messenger.com | GATE Preparation Bot | A platform to enrich GATE aspirants by providing quality gate information like GATE Registration details,Exam dates,Eligibility details,topics to prepare and all the lecture videos for those topics. | ['18Pa1A05G5 Valluri Jasmitha Lakshmi Sri', '18Pa1A0580 Koppu Sampath Pavan'] | [] | ['chatfuel', 'gatewebsite', 'youtube'] | 55 |
10,494 | https://devpost.com/software/eclipse-bot | Inspiration
In this covid situation we all are stuck in our houses , cannot go out to our favourite cafe to have coffee and chill out with friends and we all always need our all time favourite coffee with some snacks so we thought to create a bot .
What it does
we have created a user friendly bot when user comes to the page the bot asked for the order that he would like to give and it saves the order. If the user chooses the deliver option then the order gets delivered to the user and if he chooses pickup option then then the user must go to pickup the order.
How we built it
To create our bot we have used Dialogflow . When the user comes to the page a welcome message pops up with an
image
and then it asked the user what drink he would like to have with the use of
Quick Replies
further it asks the user the size and type of drink he would like to order , then the bot asks if he likes to confirm the order again with the use of
quick replies
. Further the bot asks if the user would like to have some snacks with the drink then again user have to choose one option from the quick replies and then bot confirm the order , asked if he would like to pick the order and wants delivery. To make it more interesting we have also used cards in the delivery and pickup option in that card we have put the link of the gifts that the user will get from the cafe side.
Challenges we ran into
since me and my all team mates are full stack developer , we were new to this Chatbot world so we have to work hard and learn this new tech
How to create chatbots
and then we came across Dialogflow and learned it to build our bot.
There is a saying that
Hardwork pays off
and our hardwork has also paves way to the successful completion of our bot.
Accomplishments that we're proud of
Yes we are proud of to our team that in such a less time we have created a nice bot. we would also like to thank Facebook that through this contest we have came together and did well.
What we learned
Learning is the greatest thing that we have done through this hackathon .we are really very greatful to Facebook for giving us this opportunity, We have learned
how to work in a team
,
what leadership skill is
, got to know how to create chatbot using dialogflow , learned about different features such as
Handover Protocol, One-Time Notifications, Private Replies, Quick Replies
and the
Extension SDK
.
What's next for Eclipse Bot
we will upgrade our Eclipse Bot and create a database with the help of
Node.js
so that it can
fetch and retrieve
the data according to user need. We were also planning to use
NLP
in our bot to make it more fruitful.Further we will host our bot on
heroku
.
Built With
dialogflow
Try it out
messenger.com
www.facebook.com | Eclipse Bot | Connecting Generations! | ['malvika bhargava'] | [] | ['dialogflow'] | 56 |
10,494 | https://devpost.com/software/movie-downloading | Inspiration
It's very easy to use chatbot for our use so Now-a-days movie downloading becoming trouble although there are my websites available. Even I faced this struggle so If we use this messenger chatbot we can easily overcome the problems.
What it does
It will download the movie that want you want..!
How I built it
I use a bit of programming and chatfuel platform
What I learned
To use the chatbots in very effective way
Built With
chatfuel
Try it out
www.messenger.com | Movie Downloading | It is very useful to download a movie from the messenger chatbot If it is happened most of the users use messenger to download the movie in high quality. | ['Nitya Sujana Koripalli'] | [] | ['chatfuel'] | 57 |
10,494 | https://devpost.com/software/covidbot-h0vbcg | Inspiration
My college faculty inspired us a lot to make this kind of chatbots. They helped us a lot.
What it does
It gives you the information regarding covid-19 and tells you the precautions to be followed. You can shop some of the items which helps us to prevent covid.
How I built it
I used API.
Challenges I ran into
I have faced challenges while doing the submission part. I have to link my bot to my page and it is all a mess.
Accomplishments that I'm proud of
I have done a bot myself and it makes me proud.
What I learned
I learned how to link api to the bot and the code which I have used in making this bot
Built With
api
Try it out
www.messenger.com | CovidBot | infoRegardingCovid | ['CHIKKA SUMASRI'] | [] | ['api'] | 58 |
10,494 | https://devpost.com/software/virtual-assistant-covid-19 | Virtual assistant covid-19
Inspiration
Covid19 is increasingly spreading and proving its danger to public health. In order to provide people with quick information on how to prevent epidemics in the world. We have created a chatbot that helps people with this.
What it does
Provide information about Covid19: What it is, the number of cases in the country,...
How to avoid Covid19
What can you do to help your community during this epidemic?
Some common questions about Covid19
How I built it
Using knowledge of NLP: Intent recognization, NER, BERT model.
Use the facebook API
What I learned
How to build a chatbot
Integrate chatbot on messenger
What's next for Virtual assistant covid-19
Improved chatbot to be able to answer more problems
Improve UI for the product.
Built With
facebook-messenger
natural-language-processing
node.js
python
Try it out
m.me | Virtual assistant covid-19 | Always with you to prevent coronavirus | ['Tran Hiep', 'Đỗ Duy Anh'] | [] | ['facebook-messenger', 'natural-language-processing', 'node.js', 'python'] | 59 |
10,494 | https://devpost.com/software/covid-19-live-updates-and-help-to-fight-depression-chatbot-t9k5e0 | LIVE COVID - 19 status of specific country
LIVE COVID - 19 status of specific country
Rules for happiness
Welcome message and about bot
Symptoms
Moral story
Inspiration
The only reason I made this Chatbot is to give hope to the people who are suffering and to spread positivity during this pandemic(COVID - 19)
What it does
This is a Facebook Messenger Chatbot. It gives you LIVE COVID - 19 updates from countries all over the world and it helps you fight Depression as well. It gives you motivation to live life happily. I hope it helps people win the battle with their mind.
It gives you COVID - 19 updates. You can ask it symptoms, vaccine, how does this spread?, COVID - 19 status of a specific country(It gives detailed information about the cases etc.,), covid tracker, tell me a quote, tell me a moral story, how to live happily? and you can also share your fear like: I'm afraid, I'm feeling depressed etc.,
How I built it
I used Gupshup to make this chatbot..
Gupshup :
https://www.gupshup.io
I used COVID - 19 live api to access the data from countries.
API that I used :
https://coronavirus-19-api.herokuapp.com/countries
I used a bit JavaScript and finally I deployed it to Facebook Messenger
Challenges I ran into
To be precise, I did not face any challengs, I did not feel any stress while making this, rather I loved every second while making this bot, which may help people fight depression
Accomplishments that I'm proud of
I'm proud that this bot helps atleast some people to overcome their fear, stress, anxiety and depression. That's enough to bring a smile on my face. I'm also happy that I learnt a lot while making this bot.
What I learned
I learned how to make a chatbot using JavaScript, Gupshup and I also learned to know me better and to help people in some way or the other.
What's next for COVID-19 LIVE UPDATES AND HELP TO FIGHT DEPRESSION CHATBOT
I can do some modifications to this so that it will be useful to many people facing stress, anxiety, loneliness and depression.
Built With
covid-19api
facebook
gupshup
javascript
messenger
Try it out
www.messenger.com | COVID-19 LIVE UPDATES AND HELP TO FIGHT DEPRESSION CHATBOT | This is a Messenger Chatbot for LIVE COVID-19 updates, it helps you fight Depression as well. It gives you motivation to live life happily. I hope it helps people win the battle with their mind.Peace. | ['N S S D Mallikarjun Pidaparthi'] | [] | ['covid-19api', 'facebook', 'gupshup', 'javascript', 'messenger'] | 60 |
10,494 | https://devpost.com/software/word-chat-challenge-messenger-bot | Playing in Chinese and seeing the scoreboard.
Playing in English and a quicker player grabbing the easier letters from the shared letter pool.
Inspiration
Our family game is a popular word making one! But it doesn't support Chinese. How sad! Meanwhile we type Chinese in Facebook Messenger all the time talking to each other. This seems like a great opportunity...
What it does
Word Chat Challenge Messenger Bot lets users pick a language to play in: English or Chinese. Next it will create a pool of English letters for English games or a pool of Chinese radicals, parts of Chinese characters, for Chinese games. The players then have to use the letters or characters to make words. Each word made is a point! Every time the user has to pass they lose a point. Users can see who is in the lead in the scoreboard!
How we built it
Word Chat Challenge uses a Node JS server that receives webhook calls from the Facebook Messenger API. The game leverages the Quick Reply feature to let users easily and quickly tap the options they want when playing, so the only thing they actually have to type out is the English and Chinese words they want to play in the game. The open source libraries check-word and hanzi are used to provide language dictionaries.
Challenges we ran into
Chinese characters aren't as simple as English letters. There are a lot of radicals! Xiaojing is an expert, but Lance has a lot to learn!
Accomplishments that we're proud of
We're proud of being able to play a word making game in a language we couldn't before!
What we learned
Facebook Messenger API is surprisingly easy to get started with and use! The sample project helped a lot!
What's next for Word Chat Challenge Messenger Bot
The Facebook Instant Games API looks very interesting too. That would allow sending a game board image to all the participants and having instanced games.
Built With
express.js
facebook-messenger
heroku
javascript
mongodb
node.js
Try it out
m.me | Word Chat Challenge | Challenge your friends and see who can make words the fastest in English and Chinese! Expand your vocabularies and have fun! Leverages Facebook Messenger Quick Replies to make the game flow fast! | ['Lance Nanek', 'Xiaojing Yang'] | [] | ['express.js', 'facebook-messenger', 'heroku', 'javascript', 'mongodb', 'node.js'] | 61 |
10,494 | https://devpost.com/software/chat-bot-platforms-finder-bot | Inspiration
By using chat bot i felt happy to use and then i thought many times to find an idea to implement a topic and using that to creat chat bot so finally i got an idea to build the chat bot and most important thing to build this chat bot is many people find difficulty to find chat bot platforms and this bot is use full for those problems.
What it does
By using this chat bot you can find chat bot platforms that using coding experience and with out coding experience and it is useful to the people who are new to chat bot,by finding best bot platforms.
How I built it
I build it using chat fuel and it works fine for my idea to implemented using that platform and i finally come to know that we can creat chat bot s using many platforms.
Challenges I ran into
While i was building this bot i find many difficulties to find chat bot platforms so that i made a bot that helps you to find chat bot platforms very easily .
Built With
chatfuel
Try it out
www.messenger.com | chat bot platforms finder bot | By using this chat bot you can find chatbot platforms that using coding experience and with out coding experience and it is usefull to the people who are new to chat bot,by finding best bot platforms. | ['Varaprasad Chilaka'] | [] | ['chatfuel'] | 62 |
10,494 | https://devpost.com/software/online-courses-bot | Inspiration
At first i heard about this hackathon on facebook.
When i saw all the details about this hackathon i was feeling interested about this and i think to participate in this hackathon.
But on all the three hackathons i founded this messaging hackathon was interesting.
So i decided to participate in this hackathon.
After that i started working on this very hard and finally i built this online courses chatbot.
What it does
In this chatbot you can find any online courses on coursera,edx,udemy etc.
You can search for any courses like artificial intelligence,machine learning,data science,big data etc.
How I built it
I built it on chatfuel and facebook messenger.
Built With
chatfuel
Try it out
www.messenger.com | Online Courses bot | The video is about finding different online courses on different platforms like Coursera,Edx,Udemy.Here you can find any courses which you want. | ['Bala Mahesh'] | [] | ['chatfuel'] | 63 |
10,494 | https://devpost.com/software/online-shopping-bot | Inspiration
In these days online shopping has increased a lot and it was very difficult for the people to hover over different websites and comparing prices of the products,so i built the chat bot which can hover all sites at a time and gives you the product details.
What it does
It is a messenger chat bot in which you can view the products from different online shopping websites like amazon,flipkart,wall mart,etc.. or you can view products from multiple sites at a time and you can also compare the prices.
How I built it
I built it using chatfuel it is a platform for building messenger chat bots
Challenges I ran into
As the project includes many websites i have to hover over multiple sites to know about the products and its prices and to gather information from multiple websites
Accomplishments that I'm proud of
What I learned
What's next for Online shopping bot
Built With
chatfuel
Try it out
www.messenger.com | Online shopping bot | This bot helps us view products from different online shopping website under messenger platform such that it become easy for the people buy their products by comparing the price from different website | ['Gera Abhishek'] | [] | ['chatfuel'] | 64 |
10,494 | https://devpost.com/software/meshtech |
window.fbAsyncInit = function() {
FB.init({
appId : 115745995110194,
xfbml : true,
version : 'v3.3'
});
// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
function() {
$('[data-slick]').slick("setPosition")
}, 2500
)
}
});
};
(function (d, s, id) {
var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
js = d.createElement(s);
js.id = id;
js.src = "https://connect.facebook.net/en_US/sdk.js";
fjs.parentNode.insertBefore(js, fjs);
}(document, 'script', 'facebook-jssdk'));
Inspiration
In current situation, most of people are opting to make their businesses online so we thought of making a bot which can help to ease their process of software making.
What it does
This automation bot provides options for user to build a website or/and a mobile application.
For "Business" website user just have to enter the details which are asked by the bot and within minutes user can preview their website and can finalize the purchase by contacting MeshTech.
For all other website and mobile application MeshTech provides "Automated Time and Cost calculation" based on requirement given by user
How I built it
We built this using Messenger's quick reply API. In back-end we used PHP and MySQL.
What I learned
We learned about interesting messenger API's.
What's next for MeshTech
Currently MeshTech provides instant previews and website for "Business" category only. In future this option will be available for many more categories. Also payments will be taken using messenger only.
Built With
mysql
php | MeshTech | Build Software With Ease | ['Kushal Patel', 'Mahesh Prajapati'] | [] | ['mysql', 'php'] | 65 |
10,494 | https://devpost.com/software/language-checker | Get Started
Proofreading in English
Changing language to French
Proofreading in French
Start an English test
Doing the English test
Another type of English test
Inspiration
Facebook Messenger became our main platform for communication, especially with our customers. We operate some products globally using Facebook Pages as a Vietnamese speaking team messaging grammatically correct is always a challenge for us. Our global customers use many languages English, Spanish ... Therefore we want to create a tool to intuitively proofreading our customer responses within Facebook Messenger. We also want to create a tool to help people correct spelling as well as practice their grammar skills in an interesting way.
What it does
Checking spelling & grammar function
Language checker will correct the most cumbersome language mistakes, proofreading for English, German, Spanish, Russian, and more than 20 other languages.
Language exercise
(Currently only available in English) Provide multiple-choice questions to help people improve their grammar skills.
How we built it
Base on
Language tool
LGPL license
Challenges we ran into
Create an intuitive flow for the customer to connect with the Bot.
The accurate result of Language API is not stable when applying in many languages.
Facebook Messenger only supports the various format of text on PC, still not available on Messenger application.
We would like to add more languages and exercises.
Accomplishments that we're proud of
Promote our girl to lead and to code the project. We can proudly say Mrs @XuanTran did a great job of managing the project technical flow.
Become fluent with the Facebook Pages and Messenger API.
Create a useful tool to check and learning languages.
What we learned
We found that Facebook Messenger is a free & useful tool for connecting people and businesses with various customizations available. We are eager to apply more Messenger API in our businesses and create applications for our customers.
Built With
cakephp
centos
languagetool
php
Try it out
m.me | Language Checker | Grammar, Spelling, Language, Learning, Studying, Testing, English, French | ['Xuan Tran', 'Sơn Đoàn', 'Nguyen Tue'] | [] | ['cakephp', 'centos', 'languagetool', 'php'] | 66 |
10,494 | https://devpost.com/software/let-s-shop | Inspiration
Everyone loves Shopping. But due to this covid pandemic, no one can go outside and do shopping. I have come up with an idea to create bot for online shopping. It can help people not to go outside and do shopping
What it does
This messenger chatbot shows dresses, sarees for women and shirts, pants for men, Kids Wear, TV appliances, Electronics. When you select an item and click on buy it asks all your details and stores it in a google spread sheet. When you click on home delivery it displays all your details and asks whether they are correct or not. If details were correct then your order will be placed otherwise it as ks you to re-enter your details and asks for confirmation.
How I built it
For building this messenger chatbot I have used a platform called chatfuel.
Challenges I ran into
This is my first messenger chatbot in this platform. So I faced some challanges.
Accomplishments that I'm proud of
I completed this messenger chatbot in a single day
What I learned
I have learned how to make messenger chat bots that are interactive.
What's next for Let's Shop
I want to make this chatbot useful for payment also.
Built With
chatfuel
facebook-messenger
google-spreadsheets
Try it out
messenger.com
docs.google.com | Let's Shop | Shopping is the thing that everyone likes.So let's shop online | ['Lakshmi Lavanya Vipparla'] | [] | ['chatfuel', 'facebook-messenger', 'google-spreadsheets'] | 67 |
10,494 | https://devpost.com/software/leadtalking | Export .xls
New Leads Notification
More actions
My cards
Landing Page
Video Confirmation Page
Inspiration
The coronavirus has interrupted many businesses across the World. This interruption has been worse for a many small businesses that don't have any information about their customers and potential customers.
I'm sure that browsing on the internet probably you ever have faced a Landing Page, I mean a website page that you have to fill out a form to receive some content, as a video class, a promocode, a report, an ebook or something like that. And this is a great digital marketing strategy, offering some gated content in exchange for contact information of potential customers, or in digital marketing terms, to generate leads.
The problem is a many of businesses don't have a big working capital or cash flow to invest their time or money on this great strategy, specially on this pandemic crisis.
What it does
So, to solve this problem and to help the democratization of digital marketing, we created the LeadTalking, a Facebook Messenger chatbot that can help small businesses and entrepreneurs to build their own landing pages, just talking. Easy, fast and free.
How We built it
We used Dialogflow platform to create the conversation flows and manage contexts. Created the webhooks on webserver, using PHP to interact with SQL database and to create the HTML webpages, pre-builded on Boostrap.
We used an API from youtube to get thumbnail from URL videos provided.
Challenges We ran into
-> Time. We decided to join in this hackathon a few days before the deadline;
-> Choosing an idea. We had a lot of ideas, choosing one to start was difficult.
Accomplishments that I'm proud of
Creating a product that really can be useful to small business and entrepreneurs
Smart quick replies.
User doesn't lost data if he needs cancel a building page flow. On next flow, he will receive his data as quick replies. He can also choose a created page as template, and the same responses that he gave to build it will be on quick replies.
User empowerment.
The user manage frequency which he is notified about new leads.
What We learned
-> Creating a minimum viable product;
-> Managing time and efforts to what really matter;
-> Using chatbot to solve business problems;
-> Database management;
-> Identifying what resources do We will need and how to search for it.
-> Create files as .xls with PHP;
What's next for LeadTalking
-> Reports;
-> More indicators as views, sessions, conversion rate, etc;
-> New web templates;
-> New layouts;
-> UX improvements.
-> Customer data management without intermediate
Built With
bootstrap
cpanel
css
dialogflow
html
mysql
php
sql
Try it out
m.me | LeadTalking | Building lead generation webpages doesn't need to be so hard or expensive anymore. LeadTalking helps small business and entrepreneurs to offer gated content to generate leads. Easy, fast and free. | ['Rodrigo Saunders', 'brunosena37'] | [] | ['bootstrap', 'cpanel', 'css', 'dialogflow', 'html', 'mysql', 'php', 'sql'] | 68 |
10,494 | https://devpost.com/software/queonda-art-gallery | An Arwork
Gallery
Chatbot
Concept image
Inspiration
Upload photograph, videos and content are often the most painfull issue when you have a website or ecommerce because in many cases is necessary stay in from in your PC or download the ecommerce App an learn how to use it.
This is extremely traumatic thing if you don't have de best mobile phone or "you are not good with tech thing".
The objetive is get your own website just chating with a Facebook Messenger to get your first webpage product gallery, not in days or hours, just in minutes.
What it does
Create a website with your artworks, post, product or whatever you want just chatting with a chatbot assitant. To simplify
"items"
of
Gallery Page
.
A super easy way to artist or anyone get a website to present their works.
How I built it
The gallery, place where content is present to the world, is a React App that extract content from Database.
The users use Facebook Chatbot Queonda.Art to upload their Gallery's profile and content info to a database and assets to S3 Bucket.
Challenges I ran into
One challenge that take me more time was React App. I need it more practice since the last time I use it.
The main challenge in this case was design a convesation flow to be simple for users who are not used to working with their cell phone.
The idea es create a simple chat conversation to get a sensational user experience!!!
Accomplishments that I'm proud of
Everyone that use it can achieve his artwork in less than 5 minutes.
Since point of User Experience view build a Journey in chat conversation that was simple for everyone was a really challenge, but It was the most fun.
What I learned
Create a proper user conversation flow is very important. Make it easy and short! Most data can get from Facebook or it could be asked later.
What's next for Queonda.art Gallery
The most important objetives:
Ecommerce functionality is the next natural step.
Sync all product with Facebook Catalog will make a super easy way to get all productos prepare for Facebook and Instagram Shops and retageting ads.
Tracking functionality.
The next features:
Edit items
Edit Profile
Pagination
... usability features in chatbot.
Built With
amazon-web-services
ant.design
botstar
firebase
integromat
ninox
Try it out
gallery.queonda.art
www.messenger.com | Queonda.art Gallery | Now create a Webpage with your Artwork Gallery is super easy. Just use Queonda.art Chatbot assistant and start a webpage to list your art or products. | ['Miguel Olave', 'Iriadny Carolina Salas Nieves'] | [] | ['amazon-web-services', 'ant.design', 'botstar', 'firebase', 'integromat', 'ninox'] | 69 |
10,494 | https://devpost.com/software/buble | QuickReplies
Landing Page
All perspective headlines
Inspiration
Facebook's mission statement is simple - Give people the power to build community and bring the world closer together. But with the increasing threat of false information, along with the rise of extremist groups that promote toxic ideologies, we all have become more vulnerable to echo chambers which may provide misleading information and narrow, one-sided perspectives.
This is why we built Bubble - A factual, compassionate, and bipartisan news chatbot.
What it does
This chatbot aims to allow users to naturally communicate and receive emotional support along with factual bipartisan information on their topic of concern. It provides the emotional, intellectual, and political intelligence required to discuss complex topics that have widely differing perspectives across the political spectrum in a representative and empathetic manner.
How we built it
This chatbot was built utilizing using the following open-source packages and APIs:
DeepAi's Sentiment Analysis API developed by Stanford NLP to identify the emotional tone of messages.
keyword-extractor by Michael DeLorenzo, a keyword extractor API which would be used to identify the main topics within a message.
puppeteer, a Node.js library for automating, testing, and scraping web pages on top of the Chrome DevTools Protocol.
Cheerio, an API for traversing webpages by parsing the markup results from the puppeteer request
Challenges we ran into
The main challenge was correctly implementing the sentiment analysis and text extraction Natural Language Processing libraries to provide meaningful context to the users' messages. Along with finding the balance of providing the user with enough information to understand an array of perspectives, but not so much information that it becomes overwhelming.
Accomplishments that we're proud of
We built a working prototype that accomplished all the main objectives we set out to achieve.
What we learned
News, perspective, emotional intelligence, and information are very powerful tools that can either empower communities and individuals by promoting healthy conversation and growth, or prey on our biases and vulnerabilities to promote hate and fear.
Natural Language Processing still has a long way to go with regards to understand emotion and contextual speech.
What's next for Bubble
Continue developing Bubble into a natural, informative, and reliable news source which encourages open communication and promotes compassion
Built With
ai-applied-sentiment-analysis
javascript
natural-language-processing
node.js
webscraping
Try it out
m.me
m.me
www.facebook.com
github.com | Bubble | A factual, compassionate, and bipartisan news chatbot. | ['Luyanda Mdanda', 'Declan Hopkins'] | [] | ['ai-applied-sentiment-analysis', 'javascript', 'natural-language-processing', 'node.js', 'webscraping'] | 70 |
10,494 | https://devpost.com/software/fibonaccibot-ai | The Math Virtual Teacher Assistant!
Get started!
Choose Learning Style!
Select subject for study!
Inspiration
Mathematics is often considered to be one of the most challenging subjects in school. Recent surveys report that 37% of teens aged 13-17 found math to be the most difficult subject – the highest ranked overall.
For Lis, a student that did not do very well in Math, she saw this subject as an intimidating problem, and also in our research we have found that students that have access to private tutoring (in Math, Logic, others); have higher rates of acceptance in the most prestigious colleges and universities.
Fibonacci is a virtual personalized math tutor that is accessible through the most used app globally, FB messenger. And if needed we count with a network of volunteers to tutor that Fibonacci will help to connect them with. We believe in giving accessibility to those that are not able to afford and have the chance to be in the best universities around the world!
Why Math classes?
Mathematics is crucial for Artificial Intelligence, Machine Learning, Aerospace and many other tech careers, because it shows us how to solve very difficult deep abstract problems.
What it does
Try our bot!
Through the
virtual assistant (VA)
we ask to the user for their preferred type of content/learning style: Visual, Auditory or Kinesthetic; and based on this we provide them content about algebra and geometry.
Also the students can practice with multiple tests related to each topic, for example: They can take automated assessments about algebraic expressions, and the VA establish if the student’s answer is equivalent to the correct answer or provide them hints to solve it.
How we built it
Through NLP models and the custom payloads function from Messenger API, we reply to the user intention during the conversation with the Math Virtual Teacher. We trained Fibonacci in algebra, geometry, exercises and finding a mentor. We also provide suggestions to the users through the Quick Replies!
In the natural understanding of the virtual assistant we train it also on math exercises, so it can give the students a guidance step by step of math problem solving. And if needed, students can have access to a network of volunteer tutors, and use the
one-time notification
.
Challenges I ran into
The personalisation of e-learning requires multiple interactions from each user.
Multilingual models to provide the experience in different languages!
Accomplishments that I'm proud of
Live Bot:
https://m.me/106924721142281
Testing Instructions
🤖
Step 1: Go to m.me/106924721142281 and Get Started!
Step 2: Select your Learning Preference: Visual or Auditory
Step 3:Select: Algebra
Step 3: Click on: Equations
Step 4: Click on: Learn More
Step 5: Click on: Find Mentor
Step 6: Click on: Take a Test
What we learned
Virtual Assistants, can become a teacher's assistant during the language learning process, and be able to completely transform the e-learning of languages.
Another benefits from virtual assistants involvement in the language classes is the enormous amount of information, that can be accessed online, offering very personalized learning opportunities for the students, can be trained to repeat different parts of the lesson, so that students could benefit from a personalized learning plan.
Facts:
37% of teens aged 13-17 found math to be the most difficult subject – the highest ranked overall.
One-to-one tutoring is an ideal solution for students dealing with learning gaps and other academic struggles.
Learning gaps are caused when concepts at the foundation level are not fully learned.
What's next for FibonacciBot.ai
Scale the math virtual teacher assistant around the world!
Predicting students’ performance is particularly important for e-learning, in order to improve retention and completion
rates, which are one of the biggest limitations of online learning.
Further work is focusing on the possibility of personalizing learning material, recommending different contents depending on the student and its interactions with the PVTA.
-Kinesthetic Option : Provide physical package to pay for students to receive and practice math
Built With
javascript
messenger
natural-language-processing
Try it out
m.me
youtu.be | FibonacciBot.ai | Fibonacci bot is a math virtual assistant for Messenger, that can help students learn and practice algebra and geometry! | ['M. Leon Martin', 'Cesar Joshua Pedraza Cruz', 'Lissa Ng', 'Leandro Camacho'] | [] | ['javascript', 'messenger', 'natural-language-processing'] | 71 |
10,494 | https://devpost.com/software/wildlife-shield | Wildlife Conservation Pledge
Handover Protocol
One Time Notification
Inspiration
Illegal wildlife trade is worth tens of billions of dollars each year and it directly impacts legally operating businesses, tourism and our mother nature it self which can lead us towards Human-nature, Human-wildlife conflicts. We'll prevent this illegal trade and Conserve our wildlife.
Functions
Wildlife Shield Has a lot functions Complain trafficking, Wildlife conservation pledge, Facts and also our upcoming features too which is Far too powerful such as Image processing algorithms, Deep learning and Gun shot detection using acoustic sensors.
How i built it
I used node js in my backend and integrate it to dialogflow also i hosted my webhook using AWS services and Hosted my site too.
Challenges which i ran
I was new to Facebook API. I had experience on creating chatbot for discord so creating chatbot didn't bother me but when i tried creating Handover protocol, personas and one time notification using Facebook API I have been stucked days at certain points but i did.
What i'm proud of
I jave created my first Facebook messenger chat bot and moreover i created it for best of us because if we don't try to protect our wildlife and our nature then who will? So that's what i am proud of To protect our wildlife.
What i learnt
From edge of technology to core of Facebook API and AI.
What's next for Wildlife Shield
I have planned few upcoming features such as "plant a tree" and Also field base features and integrate it to messenger(image processing algo., Deep learning and Gun shot detection using acoustic).
Built With
amazon-web-services
dialogflow
facebook
facebook-graph
node.js
Try it out
m.me | Wildlife Shield | We're non-profit organizations To prevent illegal wildlife trade and Conserve wildlife utilizing technology. | ['Harshil Maheta'] | [] | ['amazon-web-services', 'dialogflow', 'facebook', 'facebook-graph', 'node.js'] | 72 |
10,494 | https://devpost.com/software/kingsley-2aywhs | Inspiration: Unemployment has been a pressing issue not just in Jamaica but across the world. Our team was inspired to build this chatbot because we believe this could reduce the unemployment rate around the world by helping individuals to improve their employ-ability in the job market.
What it does: This Chatbot has been designed with the aim to assist/coach interested individuals on how to conduct themselves in an interview setting, give them valuable tips with a resume and helps with job suggestions. All the job needs in one comprehensive chatbot. It leads the user through a series of questions which are typically asked in a interview and suggest possible answers to those questions along with providing the user with any necessary correction if they do not answer correctly. This chatbot also gives resume tips and ideas to help the user to feel more comfortable going into their job interview.
How we built it: We built this chatbot using node.js by modifying the original clothes store repo on github, which was introduced to us.
Challenges we ran into: 1) We are very new to chatbot development and Facebook messenger platform. 2) Some functionality that we wanted to add proved to be out of our scope given time and other constraints.
Accomplishments that we are proud of: 1) We got to to include as much as 3 core features. We're proud to have accomplished that much in such a short time. 2) We got a chance to include an algorithm that suggest the best type of job for a user based on the questions asked. This algorithm uses the concept of a hits on a grid based on responses received by each user. In the time it was created, it was designed to have as much as 27 different possible permutations.
What we learned: 1) We understood the concept of programming better. We used a language that none of us had built a software of this caliber with before. Being out of our comfort zone, we realized that if we can truly appreciate the programming concept, then all these different programming languages will just be syntaxes. 2) We learnt from each other. Everyone had amazing ideas that none of us thought of. We certainly learned that working in a team can accomplish wonderful things. It was the only reason why we could not only finish on time, but deliver a quality product doing justice to the idea. 3) How to build chatbots. Not only that, but we discovered the power of messenger. The potential, the reach, it can be incorporated in anything.
What's next for Kingsley: 1) Kingsley will be incorporating the Google Cloud Talent Solutions API. This will better allow Kingsley to suggest jobs to users. Who knows maybe Kingsley will be able to apply for them... 2)We intend to attempt at integrating Grammerbot.io or another API to have Kingsley scan resumes to point out errors. With this Kingsley can improve in with corrections and being more helpful. As it's aligned with his core functions, being able to help users the best way possible is the goal in his creation.
Built With
facebook-messenger
heroku
javascript
node.js
Try it out
glacial-chamber-31755.herokuapp.com | Kingsley | The Job Coach | ['MarkLogicz Reid', 'chadanhuggup Huggup', 'Shanae Heslop', 'Roxanne Meeks', 'K-Madourie20 Madourie'] | [] | ['facebook-messenger', 'heroku', 'javascript', 'node.js'] | 73 |
10,494 | https://devpost.com/software/shopping-service-bot | Inspiration
We all love shopping. Nowadays online shopping is a part of our life to make and buy things easily. This bot helps in selecting the dresses that are new arrivals and trending materials.
What it does
Shop Anytime bot shows the new and trending online garments, get it order for you with no time
It decreases the time for search for other garments.
How I built it
I used ChatFuel for the entire Bot
Accomplishments that I'm proud of
I Finished this Bot within 3hrs.
What I learned
I have learned how to make human-interactive chatbots with efficient features.
What's next for Shopping Service Bot
Better User Experience
Usage of difference API's
Online payment model
Built With
chatfuel
Try it out
www.messenger.com | Shop Anytime | Shop Anytime is a shopping system. It always shows what's tending for you | ['Sarvani Kunapuli'] | [] | ['chatfuel'] | 74 |
10,494 | https://devpost.com/software/locochat | Inspiration
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for locately
Later .
to be updated.
Built With
android-studio
firebase
java
maps
Try it out
github.com | locately | A location based Chat Application. | ['ABHINAV GHOSH', 'Neeraj Singh'] | [] | ['android-studio', 'firebase', 'java', 'maps'] | 75 |
10,494 | https://devpost.com/software/pharmc | Inspiration
Many of us don't know how to treat the patient suffering from some illness. It helps us to acknowledge how to treat the patient.
What it does
The bot first takes a disease. And then, it tells how to care for the patient, symptoms, medications of that particular disease.
How I built it
I have used a platform called Chatfuel. It made things very easy.
Challenges I ran into
I had worked a lot to complete this project before the deadline.
Accomplishments that I'm proud of
Learned a lot about Chatfuel. And I have made this chatbot in just two days.
What I learned
Learned new technologies in the new platform like Chatfuel.
What's next for PharmC
I can be developed as medicines ordering bot.
Built With
chatfuel
facebook-messenger
Try it out
m.me | PharmC | Your care in our hands. | ['Reshma Polimati'] | [] | ['chatfuel', 'facebook-messenger'] | 76 |
10,494 | https://devpost.com/software/my-pocket-dictionary |
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xfbml : true,
version : 'v3.3'
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// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
function() {
$('[data-slick]').slick("setPosition")
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var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
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Type Hi (Step 1)
Type word to be searched (Test) Step 2. Meaning is displayed. Click on Examples.
Example displayed. Click on Synonyms.
Synonyms displayed. Click on Phonetics.
Phonetics displayed. Type new word (New)
New word meaning displayed. Click on Phonetics
Play the audio for reading the word as per correct phonetics
Type a word not known to dictionary. Displays No Definitions Found
Inspiration
I just wanted to learn using chat bots in messenger a try with some basic working stuff which is useful in general. So came up with idea of using a chat bot for word search and get word meaning using underlying rest api exposed by some open source dictionaries.
What it does
Chat with bot when you have key words for which you expect meanings. Chat bot will provide you with the meaning for the words. In additional it will give you option with further check the synonyms, example usage in sentences and phonetics of the word searched. In addition the bot will send an audio file with how to spell the word.
How I built it
Javascript code using the sample code provided as part of messenger chat bot implementation guide.
Used open source dictionary rest api -
https://api.dictionaryapi.dev/api/v1/entries/en/{word}
Glitch server for deploying the UI code -
https://my-dictionary-bot.glitch.me
Challenges I ran into
Not knowing how to send multi line messages and sequence those messages to UI.
I am completely new to facebook messenger and hence every step of implementation was challenging.
There are lots of documentations, however i feel its a bit less organised and confusing on how and where to use what in some cases.
Accomplishments that I'm proud of
Able to complete a sub task of what i actually planned to implement. Idea was to implement a game on guess the word search and provide multi language supported dictionary. Though dictionary api provided supports it and is easy to add multi language. Do not have enough time to complete as i started late on working with project.
What I learned
Excited about learning new by creating a messenger chat bot. Would love to find more options with NLP and AR with messenger and find some use case which can be taken to live facebook implementation.
What's next for My Pocket Dictionary
Support multi language support and improved features provided along with gamification of word search functions.
Built With
express.js
javascript
json
rest
Try it out
www.facebook.com
my-dictionary-bot.glitch.me | My Pocket Dictionary | Find you word meanings, example phrases, synonyms and phonetics for words all as a chat bot replies. Want more? The word will be read for you by the bot!!! | ['Vijesh Kunnummal'] | [] | ['express.js', 'javascript', 'json', 'rest'] | 77 |
10,494 | https://devpost.com/software/festivals | Alpha_Bot
We started our project "Alpha Fest", which provides the user with the information of festivals, with the help of the site provided to us by Facebook itself, “Facebook for Developers”. It was very helpful and easy to work with it. We then used Messenger for a platform, from where the user could reach us. We also took the help of “ngrok” for our callback URL.
And finally, for our ChatBot, we used the most helpful and facile platform “Dialogflow”, which helped us to create entities, intents, and connect to a webhook as well as our Messenger platform. It made it very comfortable to connect to our FB page. Our Facebook page “Alpha Fest”, tells you about the varied cultures of India through the different festivals celebrated here throughout the year. Reach us by simply searching our page on Facebook and sending “Hi” to our chatbot, and there it is ready to help you.
And we are very happy, we finally did it our first hackathon it gives us immense happiness and as well as boots our confidence that we can compete with the tech community.
Built With
dialogflow
heroku
intents
json
ngrok
Try it out
github.com | Alpha_Bot | Alpha festival assistance! | ['Manvi Sethi', 'Tanu Sharma'] | [] | ['dialogflow', 'heroku', 'intents', 'json', 'ngrok'] | 78 |
10,494 | https://devpost.com/software/interactive-covid19-information-center | Inspiration
Covid 19 has forced students stay at home in the whole world. Kenyan students, mainly secondary students those who were to sit for their final exams(KCSE) are currently stranded with no teacher to talk to and answer their questions.
Working with an educational consulting firm(Edutech Consultants and Technology Limited), we perfectly understand what challenges they are currently facing.
As developers, this has inspired and motivated us to create an interactive realtime chatbot integrated with a Messenger API which will be able to fill that gap, creating a bot which will take questions from students, giving answers to the respective questions and leading and directing the students to the exact pages and indexes of the different resource and reference materials at their disposal, more of them being textbooks and online references.
What it does
The chat robot introduces itself as a smart student revision assistant, picking basic information from the student as it welcomes the student to the platform.
The student is then asked in what subject the question they intend to ask is. The bot analyses the question and reads from the information/question asked, the most probable answer to the question. The intelligent bot will then read through its database and perfectly answer the question posed.
Further, the bot will provide indexes and page numbers of different reference and resource materials like journals, textbooks and past exams located in its database, depending on the accessibility of the materials to the students. This will allow the student further do deep research and self study.
This chatbot comes with lots of powerful features like One time notifications, quick replies and NLP which allows students to easily interact with the bot as well as understand the concepts.
How I built it
We developed it using Facebook tools, using Messenger API and other online tools
Challenges I ran into
Creating this bot was very challenging not forgetting learning new web related concepts.
Getting questions and answers to e fed into the database proved a difficult task.
Connecting all the APIs and everything sink was a challenge
Accomplishments that I'm proud of
First, we are happy we were able to create a good team. We have learnt how to perfectly use Messenger API and the idea that we could create a chatbot made us happy
What I learned
We learnt how to make an interactive chatbot and host app codes and make the API calls.
We also learnt that Messenger could be a very helpful tool to students
What's next for Ajua Interactive Revision Chatbot
This chatbot is going to include different questions and model answers from all the subjects tested in the Kenya Secondary schools curriculum.
For the purposes of this challenge, the chatbot will only incorporate one subject but the chatbots development is still in progress. The same modality will be incorporated into an Android application, where the students will have at their disposal a free revision bot any time they desire
Built With
facebook-messenger
node.js
php
react-native
Try it out
m.facebook.com | Ajua Interactive Revision Chatbot | This is an interactive chatbot which assists secondary school students in their revision and preparation of their national exams by answering questions from students and directing them to references | ['Emmanuel Odenyire', 'kamunzubarret', 'frank jumapili', 'Ujjal Baniya'] | [] | ['facebook-messenger', 'node.js', 'php', 'react-native'] | 79 |
10,494 | https://devpost.com/software/career-buddy-q1l5f9 | The chatbot on messenger in the desktop version
The chatbot on messenger in the Android version
The chatbot on messenger in the iOS version
What really inspired us to do this project was how overwhelming it can be to choose a college and what subjects we’d like to study.
As final year students in University, we faced the struggle of choosing a college that suits our requirements and abilities perfectly and we wished there was some easier way than browsing hundreds of sites or paying for a counselor. Every year millions of students face this dilemma and we wanted to make it easier for them(and also fun!).
Most students after finishing their grade 10 or after Pre-University(PU) education have a challenge of choosing a new place of study for the next two years or four years and usually aren't satisfied with the one they picked and they don't have any other choice but to complain about it or regret the place that they choose much later on.
There are a lot of colleges that are ranked well but that doesn't necessarily reflect their actual quality and the system used to rank them might be faulty and biased towards colleges possessing certain indicators and hence colleges with more money to spend on advertising etc. might deprive other colleges that are in reality better than them. Therefore we believe in a more personalized approach to this process that would students feel at home with selecting a college of their choice.
Some people around us generally complain about how they ended up in the wrong stream as they did not have proper guidance at that critical stage of their lives when they needed to make those important decisions. They feel they could have fared better in a field that they were actually interested in. A large majority feel if they had chosen a different field, they could have performed better. We wanted to provide a solution for this to help future generations. They should be well aware of their options and opportunities before choosing a field.
In India, most people are from lower socio-economic backgrounds. Most of the time they are the first ones in their families to get a formal education. They do not have access to career counselling nor do they have good exposure to the industry. We want to help society to choose the field best suited for them.
What it does
Our chatbot provides information on the best ranked Pre-University and Universities using filters like location and subjects.
In the Indian education system, we have to do a Pre-University course in three possible streams- Science(Physics, Chemistry, Math and an elective), Commerce(Economics, Business Studies, Accountancy and an elective) and Arts(History, Geography, Political Science) of two years after 10th grade(similar to 11th and 12th grade). In every city, there are innumerable colleges that offer this course and being in a large city like Bangalore it can be hard to choose the right course in the right college for many students, this is the aspect that our chatbot focuses on helping students with, we provide area-wise solutions. We show the top ranked Pre-University College(and all its details) for their preferred subjects in the specific location they choose.
For suggesting a University after graduating from Pre-University, we suggest colleges from various fields as well as from their choice of city in India.
How we built it
We have used Python and the Flask framework as the back-end and also SQLite3 for the databases. We have also employed Chatfuel for messenger integration. Localtunnel and Ngrok are used for deploying it.
Challenges we ran into
Being beginners in Python and having never worked with Flask, understanding it took a while.
We were confused about what platform to use, and went through several different ones like Wit.ai, Chatfuel and Integromat, Manychat, Chatterbot, etc before finally deciding what would be best to suit our existing skillset. Most chatbots were made with JavaScript, a language no one in our team knew, hence we decided to use Python.
Accomplishments that we're proud of
We are happy to have successfully deployed this bot and made it as personable as we could.
This hackathon gave us experience in new fields we had not explored before and made significant progress in them. We also learnt how powerful messenger is, and how many more apps we can deploy on it using Facebook apps to leverage them for our applications.
What we learned
Participating in this hackathon has given us a lot to learn and explore such as becoming better at Python, learning a new framework (Flask), Database Management and integrating it with Python. How to deploy an app onto Facebook Messenger as well as the extensive features Facebook provides for developers.
What's next for Career Buddy
We wish to make it even more generic so that it may be applied to a bigger pool of people, so that everyone can be use it.
We also look forward to help aspirants find their fields of interest by asking them a couple of Yes or No questions. Depending on that, our chatbot can suggest customized career options that are more suitable for the user. This will help them make the right choice for their future and give them good exposure.
Built With
chatfuel
flask
json
localtunnel
ngrok
python
sqlite
xlrd
Try it out
m.me | Career Buddy | The amount of information regarding what to do next is a vast ocean. We hope to make choosing your future college and subjects less daunting and more fun! | ['Deepshika Handigol', 'Anagha Adithya', 'Suhas Konanur', 'Vishal Babu M'] | [] | ['chatfuel', 'flask', 'json', 'localtunnel', 'ngrok', 'python', 'sqlite', 'xlrd'] | 80 |
10,494 | https://devpost.com/software/iconsult | Inspiration
Our team’s story:
During the early stage of the pandemic, Vietnam was one of the countries that shared a border with China, so it has been a big concern for both the government and its people that how a small third-world country with limited resources could ever fight this Coronavirus?
My team members and I were really amazed by how our people and the policies that have been applied to fight the pandemic really worked. I believe that the proactive care of our government and our health care workers also played an important role in fighting the pandemic.
Then this idea came to my mind, what if we can even be more proactive in testing the patients? What if we can let our people get consulted online and alert the hospital or the Ministry of Health before they go to a random hospital to get tested without prior notification.
In that case, we can prevent the spreading of the pandemic, by:
Patients don’t spread the virus on the way to the hospital because the health care professionals will go to their house with full gear.
The hospital knows about the patient’s condition in advance so they can apply pandemic protocol properly and evacuate a certain area instead of a whole hospital.
Save time and resources for both patients, doctors and health care professionals since they can rule out suspected cases or get prepared better for the infected cases.
Therefore, we got really inspired to make this online consult center through Messenger to connect patients with doctors/health care professionals so that we can prevent the pandemic. This is how our product comes to life and we hope with more time and preparation, this product will actually become a useful solution for our health care system.
What it does
This application is an online portal where certified health care professionals will be connected with patients to get consulted. Patients can ask questions and doctors/consultants can answer them in real time through Messenger. Below are some features that we built:
Patients can choose a menu of questions to get started
Patients can a ask questions and get answered by doctors
Patients can leave ratings for the answers/the doctor…
Patients can notify the doctor about their symptoms and choose “I want to get tested” if they have Covid-19 symptoms and they will get full consultation where to get tested, what to go, ects…
Doctors can log in to the system to pick the questions or categories that they want to answer and get notified on Facebook Page Inbox when their patients reply.
Doctors and patients can end the conversation when they want.
How I built it
We used PHP and Facebook API to build the backend of the app and nodejs+socket to build the real time chat room to connect patients and doctors. For the database, we used postgres to store users and doctors data. In addition, to build the question categories, we use Message webview and finally, we use Messenger template messages to allow users rate their doctors and end chat.
Challenges I ran into
The biggest challenge we faced is the urgent timeline of this project, since we knew about this hackathon quite late so we have to put a lot of effort in a short period of time to finish it. We actually only have 4 members to develop this project in 7 days with extra time after work. Moreover, it was quite new to us concerning developing base on a lot of Messenger APIs. We also have to learn about deep learning to be able to assign and map between users and experts, which is also a big challenge to us.
Accomplishments that I'm proud of
We're proud that we were able to build this application in such a short period of time when we first thought that we will never be able to make it. We’re also proud that this product actually means a lot to us since it’s a product we built for brothers and sisters in healthcare who are in the frontier. It’s the least we can do to help them fight this pandemic but if it gets implemented, we’re proud we can be a part of it.
What I learned
Overall, we learned more about the Facebook API and Messenger API, we also learn to improve our team work in general since it’s important to make such product like this possible in a short period of time.
What’s next for i-Consult
We hope that we can have more time to further develop this product. There are some ideas that we have in our mind to make this app better and even more useful:
We want to build a community where experts, consultants, health care professionals and doctors connect with each other to make friends, raise medical questions and create new ideas, they also can assign the questions for others.
The app will allow consultants integrate e-commerce platforms like Shopify, Woo Commerce...so they could introduce users with certified merchandise for healthcare...to the one who is in need.
We will also use AI to auto-assign, mapping between consultants and users based on the chat history, healthcare record, category history.
Built With
express.js
facebook-login-api
facebook-messenger
node.js
php
postgresql
socket.io
webview
Try it out
fb-hackathon.fireapps.io
www.messenger.com | IConsult | The first app that helps people get professional consult from doctors and health care workers during Covid-19 | ['tiena-lucky', 'Tram Nguyen Thi Bich', 'Max Nguyen', 'Bui Dang'] | [] | ['express.js', 'facebook-login-api', 'facebook-messenger', 'node.js', 'php', 'postgresql', 'socket.io', 'webview'] | 81 |
10,494 | https://devpost.com/software/citrogen-an-entertainment-bot | Overview
Introduction
Cover Image
Inspiration
After passing whole five of months in quarantine, I was already bored. Both my real and virtual life had become monotonous. There were nothing new going on. On Facebook, I had to see the same meme for three or more times a day. And that's when an idea clicked on my mind ! How about a bot that sends me memes, jokes so that I don't get bored ?
What it does
It asks user for a reply through
Quick Reply
feature. And then sends meme/joke/pun based on user input. On the backend it stores memes, jokes and puns on a database.
How I built it
I built the backend using
Django
as I have been doing since last four months. For database, I used
PostgreSQL
. The whole web server is hosted on
Heroku
. The backend uses
Facebook Graph API Version 7.0
to connect with messenger.
Accomplishments that I'm proud of
While collecting memes/jokes/puns from all over the internet, I had to work with some 3rd party modules, wrappers etc. This was quite a good opportunity to learn and play with them.
Future Plans
Currently, the bot in is development phase. In near future, I wish to implement more entertainment based contents in it. Apart contents, I have a plan to implement NLP to recognize user text inputs.
As Facebook verification is yet to come, feel free to knock me at
rabidahamed@gmail.com
to get yourself registered as a test user.
Built With
django
facebook-graph
heroku
postgresql
python
Try it out
m.me | Citrogen: An entertainment Bot | Messenger based chat bot that sends memes, jokes, puns directly to your inbox. So that you don't have to scroll too much of Facebook and end up wasting too much time. | ['Ataf Fazledin Ahamed'] | [] | ['django', 'facebook-graph', 'heroku', 'postgresql', 'python'] | 82 |
10,494 | https://devpost.com/software/dwijaya-store-bot | Dwijaya-store-bot
Inspiration
During the Covid 19 pandemic, many people stopped working because they were laid off by the company they worked for. To continue to meet their needs, they must continue to earn money to continue living. Indonesia, especially in Central Java, has a lot of delicious specialties and the sellers are less exposed because of their traditional sales. One of the home shops, namely dwijaya, sells salted eggs and chips. Dwijaya-store-bot will be a place for information and ordering of traditional food that dwijaya shops sell
What it does
Dwijaya-store-bot is a chatbot for displaying traditional food, answering questions about traditional food, featuring the closest traditional food seller such as the one dwijaya store selling. It uses quick replies to answer a lot of questions
How I built it
i used node.js and express.js framework to create webhook to interact with facebook messenger webhook
Challenges I ran into
Being beginners to both hackathons and Messengers
Accomplishments that I'm proud of
i was able to create a chatbot that could response in 24 hours chatting from users
What I learned
facebook messenger and node.js
What's next for Dwijaya-store-bot
use one-time notifications to inform people about food availability, can talk to the chatbot by simply commenting
Built With
express.js
facebook-messenger
node.js
Try it out
m.me | Dwijaya-store-bot | online store of tradional food in indonesian | ['Indra Purwa Laksana'] | [] | ['express.js', 'facebook-messenger', 'node.js'] | 83 |
10,494 | https://devpost.com/software/learnwithbot | welcome screen
Inspiration
When I was a student, I always had the struggle to find when it came to programming languages and computer science concepts as you don't get quality content in one place. So even if I had to study one particular topic, I had to go to multiple links. Then that was the time when I had realized that I have to make an application for others so that I can help and contribute to others by sharing an application like this where they will be able to find the resources all in one place.
Later on when we came to know that, On average teens spend about 45-50 minutes/day on Facebook messenger, and almost every student in today's era has a Facebook account. So that is the day we realized that if we're making an application or a website we will be making something productive and informative application that can help students. So that is why we came up with this idea that we will be making a learn with a bot which will be available on messenger itself so that people do not have to go and search on multiple application onto play store or go to multiple websites.
There's one inspirational quote said by Steve Jobs
"Everybody in this country should learn to program a computer because it teaches you how to think”
What it does
We developed a Facebook Messenger chat-bot that helps a student to:-
Learn different programming languages or any computer science concepts.
Solve programming questions.
Take a quiz to make the learning process interesting.
Uses Natural Processing Language to make a conversation more natural.
Handover protocol is used to pass control to a real person mentor.
How we built it
We spent a lot of time in research to find messenger features, tools to process messages using NLP and APIs which suits us.
We worked on multiple layers which included handling postback, responding to messages with appropriate information using NLP, and API interaction.
Creating Database using MongoDB to store user information and programming questions.
We used Express framework for back-end architecture along with webhook to setup callbacks for our Messenger
bot
Trained NLP intents for appropriate replies and to guide users.
Integration of Search API.
Integration of Quiz API.
Challenges we ran into
Our biggest challenge was research. Being the first project in a Chatbot application, we had to do a lot of research to make sure a robust system as well as flexible to add new features in the near future.
We were clear with the idea, but right in the start, we knew that implementation will not be that easy as we had to work on multiple layers as mentioned earlier.
Accomplishments that we're proud of
This was our first time building a Chatbot and we enjoyed it immensely. We loved our approach to face the challenges encountered during the project.
Speaking of technical accomplishments, we learned the integration of new APIs with Facebook Messenger using the ExpressJS framework and Nodejs.
For NLP, we have created intents for appropriate responses which will help the user to chat.
We also acquired more knowledge of NoSQL, Nodejs, Webhook.
Using Heroku, each commits to master immediately deployed on the server saving us a lot of time.
What we learned
We have learned that a combination of APIs and JavaScript can build awesome applications.
Learned how to make an interactive messenger bot and the role of NLP in it.
What's next for LearnwithBot
We have managed to keep the architecture of the app very simple to make it easily scalable by adding topic-wise quiz, best programming question which will increase your problem-solving skill, programming languages and topics.
In future, we will also add other subjects like Geography, Economics, etc.
Built With
custom-google-search
dialogflow
express.js
mongodb
Try it out
m.me
messenger.com | LearnwithBot | Learn Computer Science in a new way! | ['lohith poojari', 'Milind Vaidya', 'prabhupankaj07'] | [] | ['custom-google-search', 'dialogflow', 'express.js', 'mongodb'] | 84 |
10,494 | https://devpost.com/software/tech-updates | Inspiration
Most of the Engineering graduates feel difficult to write emails in a professional way to impress the recruiter or his/her boss which plays an important role and even coding is also an important task that an every engineer should have so to save their time when they type any question related to coding the bot instantly replies with the most optimized code. Similarly GATE Exam also plays an important role so the student can even re-wises the topics and clarify their doubts which is mostly used in during their last hours before exam.
What it does
Email descriptor is one of the important tool required for every engineering graduate at some point of time to write an email to the recruiter, to the higher authorities pointing any problem/issue or an Email to his/her Boss. So, by using this tool created by me, you can easily write the content of the email by directly typing your theme of your email then the bot gives you a message showing the professionally written email on your selected topic.
Coding Answers is another important tool required for every programmer to save their time in spite of writing entire code and it can be also used to re-wise the coding problems. So, by using this tool you can get the optimized solution for a given programming question. You can get the solution of the problem in message format which helps a lot.
GATE Preparation is also very important to the graduates who want to be start their preparation of GATE and it is even used during last seconds before the exam. When you type the topic, you get to know the topic in brief by provided images and videos.
How I built it
The chat bot is mainly build using Chatfuel where the chat bot is made more responsive with the tools available in it.
What I learned
I learned a lot of things that the risks faced by engineering graduates in email writing, coding and GATE preparation so I thought of implementing this bot which is very useful and they can excel in life. Even I am trying to implement more functionalities using the learned concepts.
What's next for Tech Updates
I will make the bot more responsive than this by using some of the API's, javascript and other programming languages to add more functionalities
Built With
chatfuel
Try it out
www.messenger.com | Tech Updates | This chat bot is mainly used for email writing,coding,GATE.When you type the theme of email,coding,GATE question the bot directly gives the written email,code for question,concepts for GATE question | ['Madhu sri sushmitha chowdary'] | [] | ['chatfuel'] | 85 |
10,494 | https://devpost.com/software/covid19-bot-muz90s | This is a chat when user text to the Covid-19 bot to get the information of covif-19 virus in some country
Inspiration
Because the epidemic caused by the covid-19 virus is spreading around the world, we want to build a chatbot with the function of helping users get the latest information about the disease situation.
What it does
This bot will show the lastest information about covid-19 disease in specific country that user typed
How I built it
I use nodejs to building server listening request from facebook app.
I use wit.ai to extract information from user via wit.ai's natural language processing.
I use glitch to deploy my nodejs app.
Challenges I ran into
I had some problems when try to understand the flow from user typing message to page then bot return to user that info.
Accomplishments that I'm proud of
I am very happy that I've built a AI bot that help people can get the lastest information of corona virus easily just by text to page.
What I learned
I learned how to build a facebook messenger chatbot and intergrating that bot with a small AI
What's next for Covid19-bot
I intend to integrate more training data into the bot using wit.ai for Natural Language Processing. I hope my bot are more and more smarter and understand user.
Built With
covid19-api
glitch
node.js
wit.ai
Try it out
github.com
glitch.com | Covid19-bot | A messenger bot that provide user some useful and most up to date information about covid-19 virus in the world. | ['Thang Nguyen', 'Đức Anh Nguyễn', 'Phuong Nguyen Ba'] | [] | ['covid19-api', 'glitch', 'node.js', 'wit.ai'] | 86 |
10,494 | https://devpost.com/software/match-lab |
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if (msg.type === 'video') {
// force a resize of the carousel
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}(document, 'script', 'facebook-jssdk'));
Inspiration
Pakistan has one of the highest unmarried youngsters’ ratio in the world. Nevertheless, it is hard to find right partner in a society with diverse and sophisticated family, social and cultural norms. Match Lab is an attempt towards creating an ever-growing resource of people looking for marriage by making use of powerful social media website, i.e. Facebook.
What is unique about it
Match Lab is pioneer among similar social apps that is entirely accessible with Facebook and Messenger. This implies that no separate signup / download is required (both for users and moderators). With minimal infrastructure and resources, Match Lab's daily reach is consistently growing and will soon surpass its peers.
What it does
Match Lab is a platform for people who are looking for spouses for themselves or their loved ones (family and friends) in Pakistan. It helps them connect with people with similar social values and search criteria. Here is how it works,
How it works
User gets started in Match Lab's messenger inbox.
User receives welcome message and Match Lab's profile form.
User fills and submits form in Messenger's web-view.
Match Lab's admin verifies his identity on Facebook by visiting his timeline.
If user's profile is approved, it is posted anonymously on Match Lab's Facebook page with a unique Id.
User is sent membership approval message containing his profile id and corresponding Facebook post link.
User profile is reached to hundreds of people instantly, however only members can send interest in his profile.
User can now also send interest in other members' profiles.
To send an interest, user clicks a unique ‘m.me’ reference link at the bottom of each profile.
User is directed towards Match Lab's inbox and presented a button to send interest to that profile.
User’s own profile is validated by Match Lab with the preferences of that profile.
If preferences match, an interest message is sent to other user with a link to sender’s profile and a reply button.
Receiver visits sender’s profile and if he finds it suitable, he replies to sender by sending back interest in his profile.
Both sender and receiver are given link to each other’s Messenger inbox.
Match Lab has successfully connected two families with similar interests and relevant search criteria.
How I built it (my side of story)
Match Lab (initially Rishtagram) was started on April 15, 2020 as a free service. In the beginning, I manually asked users to fill a textual form (by copy pasting) and letting me know profile numbers of their interest.
After a week or two, I started to maintain members’ data and their interests in a fully functional excel database. It helped me a lot in those initial days by matching corresponding interests, generating relevant messages and links to members’ inboxes and timelines.
Due to overwhelming response by Match Lab’s community, soon I had to look for further automation. And therefore, I locally hosted a MongoDB database with NODE.JS server and HTML forms for parsing / validating user profiles and interests. Meanwhile, I started exploring Facebook and Messenger APIs. This was the time I evaluated Match Lab’s future by designing architectural diagrams, solving engineering problems and integration with Facebook and Messenger. This all happened in matter of weeks and led towards the inception of present version of Match Lab.
After finalizing the concept, I registered matchlab.pk and hosted it on a cPanel Linux server. This time I chose MySql and NODE.JS for development of Match Lab’s backend. Starting with Messenger SDK for membership form, there had been a release every week augmenting features and integrations.
I found about this hackathon two weeks before the deadline and hence final release was made on August 30, 2020. All this was done alongside platform maintenance, moderation and user support service.
There is still a lot more to work on…
Challenges I ran into
During entire development,
The biggest challenge was finding a way to integrate Match Lab’s concept with existing Messenger APIs.
Another challenge was to design the user experience of a conversational app, which is still unknown to Messenger platform users.
Data migration from MongoDB to MySql was the biggest technical challenge.
Challenges I still face
One of the challenges is to educate the community by designing a human friendly user experience of an app that is entirely used in conversation with a bot. That too for a community having little sense of internet and apps’ usage. Further, I’ve been trying to make few partnerships in this project with people who have experience in this domain. Team formation is still the biggest challenge for me as prior to this, I’ve no such experience.
What I learned
Technically speaking, I learned NODE.JS and MongoDB development during this project.
What's next for Match Lab
Upcoming releases include
Use of further Messenger / Facebook APIs and features such as One-Time Notifications, Private Replies and more.
A complete admin portal integrated with Messenger APIs.
Comprehensive profile search based on user queries and keywords using Messenger SDK.
Match suggestions based on past experience using powerful AI algorithms.
Built With
bootstrap
cpanel
css
github
html
javascript
mysql
node.js
vscode
Try it out
matchlab.pk
m.me
www.facebook.com | Match Lab | Your partner-in-search for life partner | ['Abdul Rehman'] | [] | ['bootstrap', 'cpanel', 'css', 'github', 'html', 'javascript', 'mysql', 'node.js', 'vscode'] | 87 |
10,494 | https://devpost.com/software/coffee-shop-messenger-bot | Screenshot from the bot.
Inspiration
Every time I order coffee, I feel the process is a time-wasting. I mean this can be automated, so why not?
What it does
Someone wants to order coffee, so he/she send a message to the bot.
The bot will list all the types available.
He/She choices a type.
The bot will list the sizes available.
He/She choices a size.
The bot asks for confirmation, and asks for notifications permissions.
After 5 minutes, the bot will send a message to the person who ordered saying "The order is ready!".
How I built it
I built it using JavaScript (NodeJS) and I have used MongoDB as a database.
Challenges I ran into
This is the first time for me using Facebook Messenger, so everything was a challenges for me.
Accomplishments that I'm proud of
The old boring process for ordering coffee has been automated now, so I can order coffee faster than before!
What I learned
I learned how to deal with Facebook API.
Built With
javascript
mongodb
mongoose
node.js
Try it out
www.facebook.com | Coffee Shop Messenger bot. | Ordering coffee isn't boring anymore. | ['Murtaja Ziad'] | [] | ['javascript', 'mongodb', 'mongoose', 'node.js'] | 88 |
10,494 | https://devpost.com/software/ohho-conversational-ecommerce | A conversational e-commerce platform
Inspiration:
We are all Vietnamese. Bargaining and talking before purchasing anything has been a part of our culture. We believe that it is a common practice in SEA countries.
There a plenty of e-commerce organisations in the region. However, we see two things that we can improve: a. The friction: as a buyer, I must download the app and create an account to start shopping. b. Not so welcome to chat with Seller.
We want to make a product that overcome the two frictions above
What it does:
Our Product, OHHO, a conversational e-commerce platform using chatbot technology, helps to:
1. Increase:
Customer experience, contextual conversation.
2. Reduce:
frictions (Seller registration/on-boarding, reluctance of investing in own e-commerce site)
Without
requiring installing any new App.
With the on boarding process, user to indicate which Facebook page(s) s/he wants to hook up our OHHO app into their page(s). This follows Facebook guidelines.
Once user already registered (finished on-boarding process), s/he is enabled with an e-commerce page (provided by OHHO). This e-commerce page is connected to the Facebook page. So, everytime a user initiate a chat, he see ‘Shop now’ located at the persistent menu. Once clicked, the store’s e-commerce site to pop up.
User then click on a product on the e-commerce site, view its details. At the bottom of the details page, a ‘Chat will Seller’ button to show. Once clicked, a short description of the viewing product (product’s thumbnail, title, price) to be sent to Messenger. Then User and Seller is able to chat.
This is our business model, a so-called Conversational E-commerce.
Start trying our product (as a Buyer) here:
link
Challenges we ran into:
First challenge
is to identify the technology and infrastructure for our product. We have tried plenty of those, rolled out with some real Sellers but the peformance and the customer’s experiences have not yet met the expectation.
Second challenge
is to persuade Sellers to try our product. We are new, product is just in the demo phase.
Third challenge
(and the biggest challenge) is the effort of all the team members putting here. We all have our day jobs. Getting everyone to do on one thing at night really need a huge commitment from every team members
Accomplishments that we are proud of:
The idea and first prototype were around for three years. We put a lot of NO-GO decisions for our product to mass roll out. What we really proud of until today is to have a one-goal product. However, the
biggest accomplishment
is that we are a team, we still fight and have a common dream: to make this product successful, meaning million of our Sellers will use our product to boost up their business.
What we have learned:
The ultimate lesson that we all learned and understood is that, what _ we believe is right may not be the right thing _. Our Seller (and Buyer) will be the one who tell us which one is the right one.
What’s next for OHHO - Conversational ecommerce:
We believe this version is
good enough
for us to have a soft launch (again). We believe in the next three months we can roll out for 500 Sellers
Built With
facebook-chat
facebook-login-api
facebook-messenger
java
wordpress
Try it out
ohho.asia | OHHO - Conversational ecommerce | We empower Seller by providing a free e-commerce site with a Facebook chatbot to assist him/her in the selling process. The focus of our product is to enable chatbot to provide useful information. | ['Khoa Nguyen', 'Du Tran', 'Vu Nguyen', 'Thanh Huynh'] | [] | ['facebook-chat', 'facebook-login-api', 'facebook-messenger', 'java', 'wordpress'] | 89 |
10,494 | https://devpost.com/software/rr | Joy is here for you
Inspiration
We wanted to build a tool that can benefit people who are feeling lonely because of social distancing. Sometimes people want to talk about how they are feeling but have no one around at the time. Even when seeking professional help as college students, we always find it hard to seek out therapy physically because of costs, waiting time, perceived stigma, and embarrassment after seeking out help. With the Covid-19 pandemic, all these barriers have been increased and we felt the need to have a bot that provides friendly therapy services.
What it does
Joy the Bot therapist chatbot is the friendly therapist that will listen to and guide users in a socially distant world.
We aimed to provide users with a chatbot that is easy to chat with so we used emoji icons for users to choose how they feel.
Through the user’s input in the chat, Joy suggests ways in which the user can alleviate the sad emotions they feel or celebrate the different achievements they have made. The user can chat with Joy about how they feel, get advice about ways of dealing with different emotions like playing music.
How I built it
In a team of three, we used that fuel to handle the flow of conversation between Joy and the user.
In the planning phase of the project, we brainstormed on what features we would use in a chatbot on facebook messenger and how to best implement the chatbot.
Since no one on the team had ever worked with building chatbots or integrating chatbots with facebook messenger, working with chatfuel was a great experience to explore the work behind the different chatbots we have used before. We learned how to work with chat fuel as we implemented the different features.
Additionally, chat fuel's ability to set up AI rules was handy to enable Joy to keep the conversation flowing from a user’s input.
Challenges I ran into
We had never done a messaging bot before, so we spent some time learning how to do it. We spent the first days of our team meetings discussing the pros and cons of using different chatbot applications, and after a long discussion, we decided to use chatfuel because to implement cool features easily and for free. Since it was a messenger bot already, chatfuel also enabled us to concentrate on implementing the different features we wanted to implement rather than spending time to learn how to integrate other bot applications with Facebook messenger. We also read about how we can help someone feeling certain emotions by either talking them through it or advising them to seek professional help. Our other challenge was making the time, despite our class and work schedules, to make Joy the Bot therapist consistently.
Accomplishments that I'm proud of
The greatest accomplishment is working on an impactful product that we and many of our friends need in a time where they are taking remote classes, facing so many personal and family challenges in socially distant communities. Working on Joy was the first time everyone on our team worked with chatbots and integrating the chatbot into Facebook. It was a great experience to explore how to implement different features.
We are proud of how far Joy has come.
What I learned
We learned how to create a messaging bot that’s interactive by using chatfuel. We also learned how we can effectively brainstorm and flesh out our ideas so we can effectively work as a team. Another thing we learned was how to appropriately respond to people feeling strong emotions. In order to better understand ways therapists provide help, we have taken some time to study ways of dealing with different emotions. This gave us insight on how to make Joy more effective and also will inform the advancements we want to make on Joy before launching Joy to the public.
Working on Joy: The Bot Therapist in a team was an opportunity to learn how to navigate the team dynamics as we collaborated on building different aspects of Joy in chatfuel.
What's next for Jot: The Bot Therapist
A lot! Although we implemented the basic flow of a conversation with Joy, we would like to add more interactivity where the user instead of choosing from the choices offered, they are able to type in text and Joy is able to interpret the text. Unlike many chatbots that feel more like quizzes, our aim is to enable Joy to feel more like talking to a friend. We will achieve this by using the Build AI feature more.
Furthermore, we would also like to incorporate more options for the user to choose from after they share their emotions with Joy. Music is a great tool that many people use for strength in sad, trying, and happy moments, we plan to further implement the audio playing feature, where a user is able to play the music that will make them feel better in their messenger to chat with Joy.
Built With
chatfuel | Joy: The Bot Therapist | Joy the Bot therapist chatbot is the friendly therapist that will listen to and guide users in a socially distant world. | ['Sama Manalai', 'Immanuela Belaineh', 'Concepta Njolima'] | [] | ['chatfuel'] | 90 |
10,494 | https://devpost.com/software/transcriber | Showing available options
Capturing image with messenger camera
Selecting Image=>Text Option
Entering Source Language as Telugu
Capturing image with messenger camera
Inspiration
Being a developer, I was excited to work on a project involving a lot of chat bot related concepts, leveraging APIs, computer vision and at the same time making something that I could use every day.
What it does
In present world, traveling from one place to another locations is common for business meetings,employment and family trips.People are talking different languages in different locations.While traveling, travelers are facing language barriers problems like communicating with local people,understanding streets sign boards ,understanding local information boards,ordering food in local restaurants and reading local news..etc.
Transcriber is a messenger bot that works in a super-easy and friendly way to solve these language barriers problems.
Transcriber works easily with Facebook messenger native camera and MIC option.
Transcriber supports Image to Text,Image to Audio,Audio to Audio,Text to Audio,Audio to Text,Text to Text language conversion features.
One can click a picture of the street sign board or information board and then it converts to desired language either in audio or text format.
One can record the voice of person in his native language and then it converts to desired language either in audio or text format.
One can enter the text in his native language and then it converts to desired language either in audio or text format.
How I built it
Used the messenger platform, with bot framework, C# for backend.
To extract the text from the image i used Google Vision API.
To extract the text from the audio file I used Google Speech-to-Text API.
To convert the extracted text from audio/image file I used Google Translation API.
To create audio file for converted text I used Google Text-to-Speech API
Used SOX and FFMpeg library for audio file format conversion.
Challenges I ran into
Connecting all the APIs and making everything work smoothly.
When I recording audio through Facebook messenger MIC option, it is creating audio in MP4 format. But I did not find MP4 encoding in Google Speech-to-Text API. For this, I searched a lot of libraries and finally I am able to convert MP4 to FLAC format using FFMpeg Library.
Accomplishments that I'm proud of
I'm really satisfied with the amount of code I could churn out in a short amount of time.
Worked on Facebook messenger platform.
Glad that I could put up an end to end product
What I learned
Learned how to make an interactive messenger bot.
Learned Facebook Messaging API, Google Speech-to-Text API, Transaltion API, Text-to-Speech API, - Audio file format conversion using SOX,FFmpeg Libraries
Learned how to host web apps and make API calls in and around.
## What's next for Transcriber
At present user have to enter source language. In future I will add API to detect language of selected Image or Audio
Built With
.net
bot-framework
c#
facebook-messenger
ffmpeg
google-speech-to-text
google-text-to-speech
google-transaltion
sox
Try it out
m.me
messenger.com | Transcriber | Transcriber is messenger bot ,it solves language barrier problems for travelers.It supports Audio-to-Audio,Image-to-Text,Image-to-Audio,Audio-to-Text,Text-to-Audio,Text-to-Text language conversions. | ['Ravi kumar Ranga'] | [] | ['.net', 'bot-framework', 'c#', 'facebook-messenger', 'ffmpeg', 'google-speech-to-text', 'google-text-to-speech', 'google-transaltion', 'sox'] | 91 |
10,494 | https://devpost.com/software/gogo-lsqdik | analysis the attraction by weather data
recommend a greater date for you
generate some interesting collection about the attraction
Inspiration
We are not satisfied with the current traditional tourism arrangements and aim to create a new tourism ecosystem
What it does
We use a chatbot to simulate the process of discussion between passengers and tour guides, increase the experience of passengers in the process of arranging the itinerary, and reduce the process of exploring and collecting information on the journey.
How we built it
We started with our expertise in data science and systems, and combined global meteorological data and expert experience into system calculations, combined with meteorological knowledge to complete the tourism situation assessment. Then use natural language technology to realize thematic analysis to assist passengers in exploring suitable related projects.
Challenges we ran into
The biggest difficulty in implementation is the acquisition of various aspects of data, including basic geographic, meteorological, astronomical, and other professional information, as well as reports and images related to attractions that can expand tourists’ interests. Therefore, in order to enhance the overall experience of use, In the future system development, we will also invest more effort in data mining.
Actually we want to build a BERT model to classify posts of ins and Facebook….
But finally, we couldn't get pretty source data😓
Accomplishments that we're proud
Increase tourists' understanding of the current climate conditions of scenic spots, and explore scenic spots that are most in line with the current state of time and space for visitors.
What we learned
Many problems have occurred in the acquisition of data and the integration of various services, such as the cooperation experience of API traffic restrictions and security regulations, etc., which makes our team more relevant in the industry cooperation method
What's next for GlobePocket
In the next step, we will focus on service stability and more comprehensive services as the development direction, and grow and develop as a "travel pocket assistant" as the goal
Built With
facebook-messenger
flask
lda
python
Try it out
m.me | GlobePocket | GlobePocket is a data and travel research team, use data science technology to provide travel services, change the traditional framework of travel planning, and generate attraction recommend | ['Wang ChunShan'] | [] | ['facebook-messenger', 'flask', 'lda', 'python'] | 92 |
10,494 | https://devpost.com/software/juansafe | Facebook Cover
Screenshot 1
Screenshot 2
JuanSafe QR code poster - sample 1
JuanSafe QR code poster - sample 2
Inspiration
COVID-19 has made it difficult for us to live our daily lives and spend time with our loved ones. When every
trip outside is a potential hazard, staying at home seems like the only option. I created JuanSafe to help
people manage the risks of going outside by tracking their movements through a digital diary.
What it does
Check-in Feature
User's need look for the official JuanSafe QR code posters that can be found at the main entrance of the establishment.
There are two options:
Option 1: Upload or scan QR code using your phone's built-in camera "QR Code Reader"
Option 2: Enter a business or service name manually by tapping the "Manual Check-in" quick reply button
Meetup Feature
Ask someone to generate his/her meetup QR code by tapping the "Generate QR Code" quick reply button
Upload or scan his/her meetup QR code using phone's built-in camera "QR Code Reader"
Other Feature
How user's check their diary?
By tapping the "Activity Log" quick reply button and select: i.e. Last 21 Days
How I built it
Using Chatfuel with third-party APIs
Technologies
HTML, CSS
PHP
MySQL
JSON objects
Services
Chatfuel
Google Charts Infographics for creating QR codes
goQR.me for reading QR codes
Challenges I ran into
Conversation copy-writing
Messagaing referrals - i.e. random REF_DATA_PASSED_IN_M.ME_PARAM
Accomplishments that I'm proud of
Connecting two users
Encoding/decoding QR codes via APIs
Messagaing referrals - i.e. random REF_DATA_PASSED_IN_M.ME_PARAM
What I learned
Conversation flow
Have some patience while programming
What's next for JuanSafe
Keep it running and encourage establishments to apply for
JuanSafe QR code poster
Introduce it to local governments
Built With
apis
chatfuel
css
html
json
mysql
php
Try it out
www.messenger.com | JuanSafe | A digital diary for contact tracing | ['Edmund Cinco'] | [] | ['apis', 'chatfuel', 'css', 'html', 'json', 'mysql', 'php'] | 93 |
10,494 | https://devpost.com/software/gimmenews | Inspiration
Help people get news without the need for a separate app.
What it does
It sends you news on any topic right in your inbox.
How we built it
The news URLs are fetched using an open-source news API (
https://newsapi.org/
). The server is built in Node.js and Express.js. The app is deployed on Heroku.
What's next for GimmeNews
Add a feature to send an automatic daily feed for a user every morning.
Try it out
m.me | GimmeNews | Gives you news of any topic | ['Priydarshi Singh', 'Shivangi Singh'] | [] | [] | 94 |
10,494 | https://devpost.com/software/paluto |
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FB.init({
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xfbml : true,
version : 'v3.3'
});
// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
function() {
$('[data-slick]').slick("setPosition")
}, 2500
)
}
});
};
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var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
js = d.createElement(s);
js.id = id;
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Pagination list of sellers
List of all sellers
Sellers in specific area
Store Management
Store profile update with quick replies
Inspiration
Paluto is a filipino word meaning to ask someone to cook something for you. I live in a part of the Philippines where every household has a unique food specialty to offer. With the pandemic happening, many people lost their jobs and has switched to other means of generating income, and this includes selling home cooked foods. One problem is discoverability, their market is limited to friends, relatives, or with people connected with them on social media. This is where "Paluto" chatbot comes in, by connecting food sellers to the community without much needed technicality.
What it does
Paluto is a chat bot that allows sellers to create a record of the details of their store and menu listings they offer. Once a record is created, Paluto will allow buyers to search for sellers in a location, and see their menus easily by just using messenger!
How I built it
It is built using express js as a backend and mongodb as database for storing chat context and store/seller records.
Challenges I ran into
A lot of things have changed since the last time i used the messenger platform but the documentation is pretty useful, there's also some patterns that needs a bit of "hacking" such as paginating list of sellers!
Accomplishments that I'm proud of
This is an original concept that i did, but i managed to finish it just by reading the docs.
What I learned
The new features of messenger platform.
What's next for Paluto
I am planning to handle orders and connect them to riders (delivery) with COD(Cash on Delivery) as a method payment, only payment would be awesome too! I also wish to show the sellers on a website, but the images can't be used outside facebook so im still researching about it.
Built With
express.js
mongodb
typescript
Try it out
m.me | Paluto | Allowing micro, small or individual food sellers to be easily discovered by the community. | ['Jamil Delos Reyes', 'Jerameel Delos Reyes'] | [] | ['express.js', 'mongodb', 'typescript'] | 95 |
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