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Transformers AI Online Hackathon

Transform with Transformers!

Transformers are context-learning neural networks. They learn by tracking relationships in sequential data, for example, words in sentences. You might know them as some of the best AI models in the market - OpenAI’s GPT-3 and Cohere In our 3-day Hackathon, organized along with the Swiss AI Association, you’ll use context-learning neural networks to build solutions with people from all around the globe and have an opportunity to pitch your AI Prototypes worldwide. Jump in to learn more about harnessing the power of Transformers!
Transformers AI Online Hackathon event thumbnail

Transformers

Transformer models are context-learning neural networks. They learn by tracking relationships in sequential data, for example, words in sentences.

Examples

Cohere and OpenAI currently provide the best transformer model APIs in the market.

Cohere

Cohere gives computers the ability to read and write - whether you want to better understand what your customers are saying, or you want to write compelling copy that speaks to your target audience, Cohere can help.

GPT-3

GPT-3 stands for Generative Pre-trained Transformer 3 and it is an autoregressive language model that uses deep learning to produce human-like text. It is the third-generation language prediction model in the GPT-n series created by OpenAI.

The Challenge

Build a solution with the transformers architecture

Prizes

🏆 Prize pool of $2000 in Digital Ocean credits to be distributed among the winning teams!

We thank Digital Ocean for sponsoring this event.

Transformers Hackathon details

Join lablab and Swiss AI Association during 48h to innovate and build the new generation of applications with transformers architecture. Find all the relevant details below.

🗓️ Where and when

The hackathon starts on October 28th and ends on October 30th. Over the weekend, you'll have the opportunity to learn from lablab experts during workshops, keynotes, and mentoring sessions. The hackathon will take place on the lablab.ai platform.

🦸🏼‍♂️ Who should participate?

Previous experience in AI is not required but welcomed. While many participants are industry experts, we also welcome people with other types of domain knowledge that want to understand & explore how AI can be used in their fields.

🔐 Access to Cohere API

To get started with Cohere NLP API please signup using the following link: https://cohere.ai/signup. Your trial API key are free and has and can handle up to 100 calls per minute free of charge. You can find more information about the API here.

🔐 Access to GPT-3 API

GPT-3 is currently in open beta and each new account gets $18 worth of API credits. You can find more information about the API here.

😅 How about teams?

If you don’t have a team you will be able to match and team up with other participants around the world. Finding & creating teams can be done from the dashboard you can access after you enroll. We also recommend checking our Discord server to find teammates and discuss ideas. You can join it here

🛠️ How to participate in the hackathon

The hackathon will take place online on lablab.ai platform and lablab.ai Discord Server. Please register for both in order to participate. To participate click the "Enroll" button at the bottom of the page and read our Hackathon Guidelines.

Swiss AI Association

Founded in 2020, the Swiss AI Association represents the interests of the Swiss AI industry. Swiss AI Association is a globally growing network of professionals interested in applications of AI, the latest academic research, business cases, investments, and access to the worldwide community of experts.

Video from previous Swiss AI Association hackathon

Speakers, Mentors and Organizers

  • Rok Zaloznik
    Speaker

    Rok Zaloznik

    Co-Founder of Swiss AI Association, Senior Consultant at Julius Baer

  • Mathias Asberg
    Mentor

    Mathias Asberg

    Founder New Native

  • Paweł Czech
    Speaker

    Paweł Czech

    Founder New Native

  • Jakub Zakrzewski
    Organizer

    Jakub Zakrzewski

    Event Manager at New Native

  • Anastasiia Strakhova
    Organizer

    Anastasiia Strakhova

    Community Manager at New Native

  • Olesia Zinchenko
    Speaker

    Olesia Zinchenko

    Social Media Manager at New Native

Hackathon FAQ

Who can join the Hackathon?

We welcome domain experts from all industries, not just AI or tech. Successful AI solutions require a combination of technical expertise and domain knowledge. Coding experience is recommended.

Do I need a team?

You are welcome to join as a team or solo, if solo. We encourage you to look for a team before the event. We recommend you to join the Deep Learning Labs Discord channel: https://discord.gg/gCuBwBB35k and posting in the #looking-for-team channel to get to know your potential future team members.

Do I need a Github account?

It is recommended, that at least one team member has a Github account. You can create one for free if you don't already have one.

I have other questions.

Feel free to reach us on social media, or through our Discord channel.

Event Schedule

  • To be announced

Submitted concepts, prototypes and pitches

Submissions from the teams participating in the Transformers AI Online Hackathon event and making it to the end 👊

Poison

Poison

This project extracts text from images of product labels and uses GPT-3 to predict whether the substance is toxic to dogs. There are a number of potentially toxic substances to dogs, including food, rodenticides, plants, drugs (prescription and other), and mycotoxins (e.g., moldy grains). Since ingredients are important in determining the toxicity of a substance, the user can upload a photograph of the ingredient label or manually enter the ingredients. This can also be combined with external applications, e.g. for plant and mushroom identification. Disclaimer: this is a weekend hackathon project. If you think your pet may have been exposed to poison, please contact a professional and not GPT-3.

Poison
Streamlit
application badge
GPT-3Cohere Coral
mEYE Buddy App

mEYE Buddy App

mEYE Buddy app is an application whose main role is to play part as your very own PERSONAL assistant who will make the world a little bit more accessible for anyone who is in any way visually impaired and requires assistance. The BEST SIDES OF THIS APP are that IT is highly affordable, with a premium version and is based on a loyalty program (business model). With mEYE buddy, not only would the life of blind people be much easier, but they could have the privilege of INDEPENDENCE - they would not need to rely on their caretaker or service dog to help them withq everyday chores.The state of the art tool for assistance to visually impaired persons! This state of the art AI technology will assist you in your everyday life. How app works: For first login you would have to register, and you'd do that using your fingerprint. Everytime the app is opened, the voice will tell you where everything is located on the screen. The design was made simple and the buttons were made big for easy access. The user can always press the icon in the middle of the screen for a reminder of the locations of the buttons. The voice assistant is the main function of the app. It will activate the AI, which will use a connected camera to describe the surroundings and warn the user of hazards. The key places tab will take the user to a tab where they can activate a guide to registered locations that are important to the user. (workplace, supermarket, hospital, home, coffee shop, etc.) They can also register new locations and remove old ones. The hazards that were noted by the ai could also be registered here. The devices tab is simple. It is used to connect the device to an external camera, preferably one on the glasses of the user or attached to their body. The user can also connect to their smart watch for easy access. The settings tab is pretty self-explanatory. However, besides the settings, it will also contain emergency information about the user, in case they need help from someone. The “mEYE Buddy” app will be connected to a camera on the glasses or on your body, and will describe everything important going in front of you - every peculiar movement that triggers its sensors or warn you against any potential hazards that may come in your way. The app can also be asked to describe something specific in more detail. Our Buddy also stores any hazard or newly recognized item in its already vast and enriched database. The app can also be told where certain points of interest are located (workplace, supermarket, hospital, home, coffee shop, etc.) for easier access to it later. The app comes with a simple UI with big buttons for input, and can be instructed through the AI voice as well. Also comes with a 3x3 keyboard for simpler accessibility.

Aurora
GPT-3Cohere Coral
Brain Tumor Classification

Brain Tumor Classification

We have developed a Brain tumor classification app that helps doctors with the diagnosis. With this tool insurance and public health systems can launch massive brain tumor detection campaigns and save much time with the diagnosis, which will help in the early detection of this deadly disease.

LMF AI
Streamlit
application badge
GPT-3Cohere Coral
AioMedica

AioMedica

Our Service is an aided diagnosis tool, that aids the workflow of doctors and also allows people to self-diagnose, both by means of AI

LastMinute
medal
GPT-3Cohere Coral
Andjelika The Tourist Guide

Andjelika The Tourist Guide

Imagine you're in some foreign city or country, this web app would help you navigate, socialize with locals, suggests you places to visit and make your stay way better.

Angelic
GPT-3Cohere Coral
RecluAI

RecluAI

RecluAI is an api create with Django Rest Framework that uses the Co:Here api to generate Summaries and extract Information from interviews to help recruiter

Reclu-AI
medal
replit
application badge
GPT-3Cohere Coral
Vacancy finder

Vacancy finder

Nowadays there are so many students and mothers who are willing to improve, but with no money (obviously with no work), are being unable to do so. Our team’s solution is this: Use the vacancy finder website while sorting it into the "knowledge" and directing it (via summarization through GPT-3) to the resources to learn from.

Artificial isnt artificial
GPT-3Cohere Coral
Research Paper Clustering

Research Paper Clustering

The goal is to provide an interactive tool for visualizing research papers in a 2D map where the papers are placed on the map based on some vector embedding of the summary. The papers that are similar to each other will cluster together. This will allow researchers to identify papers that have similar concepts and even allow users to look at concepts from different fields that are applicable in their own field.

hummingbirds
medal
Streamlit
application badge
GPT-3Cohere Coral
Fake News Detector

Fake News Detector

The proposed solution alongside my teammates is to build a Fake News Detection Application meant to limit the propaganda effect. With the use of Node.js and GPT-3 trained model Davinci, we gave birth to our CrewBot .

TheCrew
replit
application badge
GPT-3Cohere Coral
Student chatbot

Student chatbot

This application is a chatbot for students, to reply for common asked questions in a certain material, we use cohere's model to answer students questions in a specific topic, the data used is WIKIFAQ and ideally emails from teachers of frequent questions and answers, the added value is that it's course specific and not like asking a broad question to google. I haven't advanced much in the implementation of the web interface and the model, but I wanted to submit the idea at least.

Student answer
GPT-3Cohere Coral
Auto Message Processing System

Auto Message Processing System

Hello! We created this bot drawing inspiration from the COVID-19 pandemic in Singapore. Back in 2021, Singapore faced a surge of COVID-19 cases that overwhelmed the Ministry of Health in Singapore. Most people called the MOH hotline when they were unsure what to do with regard to COVID-19, but this flooded their hotlines and they were not able to answer most of their concerns. This was because they had no way to filter the urgency level of incoming messages and therefore had to answer to them one by one manually. We created this telegram bot to overcome this challenge. We made use of the text classification ability of GPT-3 to classify incoming messages to the bot based on their urgency levels, and the right level of assistance would then be provided.

Highway Volume
GPT-3Cohere Coral
ChatBot

ChatBot

ChatBot

moose analytica
GPT-3Cohere Coral
GPT3CohereWinners Announced
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