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Cohere Thanksgiving AI Transformers Hackathon

Come to the Cohere Thanksgiving Hackathon and let's build, create, and innovate together! This is a perfect opportunity to use your skills and creativity to support a cause or make a difference. You could build a business idea or a social cause project – it's up to you! 👉 There is not only incredible prizes up for grabs, this is also a perfect opportunity to get into the absolute 🔥🔥🔥 hottest 🔥🔥🔥 trend in technology.

Sign up now and let's make a difference this Thanksgiving!
Both seasoned AI / Tech pros as well as people with other domain knowledge are welcome, our team matchmaking system will make sure you find a team to work with, or create your own and invite your friends / colleagues.
Cohere Thanksgiving AI Transformers Hackathon event thumbnail

Cohere NLP

Cohere provides through it's API unprecedented access to affordable, easy-to-deploy large language models capable of powering the next generation of game-changing AI native applications.

Powerful NLP Model

Cohere trained their models on billions of words to understand the nuances and context markers of human communication.

Flexible API

The Cohere API works with many different libraries that fit every stack. Cohere's Python, Node, and Go SDKs make AI easy to integrate into your app.

Cohere Sandbox

Introducing the new Sandbox for developing and deploying advanced natural language processing (NLP) projects, quickly.

Cohere Challenge

The challenge for this hackathon is to create an innovative solution using Cohere API

👉 Get inspired by Thanksgiving! We challenge you to build something that goes beyond feasting – be inspired by what you are thankful for and how can you use this experience to build something that will benefit others around you. 🦃

Have an idea that isn't related to the theme? Feel free to join us anyway!

*You can get additional points if your project uses Cohere’s Generate endpoint.

Prizes and Awards

🥇 $5000 API credits + $1000 cash
🥈 $3000 API credits + 800 cash
🥉 $1000 API credits + 500 cash

Additionally, all winning teams will get Cohere swag and have the chance to: Meet Cohere Founder for a virtual coffee & record a video of their demo that will be promoted on Cohere's channels!

Cohere NLP Hackathon details

Join lablab and Cohere during 48h to innovate and build the new generation of NLP powered applications. Find all the relevant details below.

🗓️ Where and when

The hackathon starts on November 18th and ends on November 20th. Over the weekend, you'll have the opportunity to learn from Cohere and 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.

😅 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.

🧠 Get prepared

To get prepared for the hackathon, we recommend you to start at our Cohere technology page where you can find all the relevant information about the API and how to use it plus cohere tutorials and cohere boilerplates.

Sandbox

Cohere

Sandbox is a collection of experimental, open-source GitHub repositories that make building applications and/or showcasing how such applications are built using large language models fast and easy with Cohere. Sandbox repositories aim to enable all developers, regardless of ML experience, to:

Conversant

A framework for building conversational agents on top of the Cohere API.

Route Generation

Build a functional chatbot that recognizes users' intent from descriptions.

Grounded QA

A powerful, contextualized, factual question-answering Discord bot.

Topically

A suite of tools that help you make sense of text collections.

Toy Semantic Search

A simple semantic search engine built with the Cohere API

Applications build on Cohere

Learn about the winning projects from previous episodes of the Cohere hackathons.

Perfect Prompt

Prompt engineering and image generation tool.

Tip of my Tongue

An application that improves the efficiency of chat-based support systems.

Turing Test

A tool for finding and browsing books based on short prompts, keywords, or story plot.

cohere

API Access

Signup for API Access

Cohere's API is currently free-to-use for everyone. Sign up for Cohere and start integrating NLP into your builds now!

Speakers, Mentors and Organizers

  • Kemi Tijani
    Speaker

    Kemi Tijani

    Sales and Strategy - Customer Engagement NLP at Cohere

  • Kristina Stephan
    Speaker

    Kristina Stephan

    Talent Programs Manager at Cohere

  • Edward Kim
    Speaker

    Edward Kim

    Manager, Machine Learning at Cohere

  • Sandra Kublik
    Speaker

    Sandra Kublik

    Developer Relations at Cohere

  • Mathias Asberg
    Mentor

    Mathias Asberg

    Founder New Native

  • Paweł Czech
    Speaker

    Paweł Czech

    Founder New Native

  • Anastasiia Strakhova
    Organizer

    Anastasiia Strakhova

    Community Manager at New Native

  • Olesia Zinchenko
    Organizer

    Olesia Zinchenko

    Social Media Manager at NewNative

  • Jakub Zakrzewski
    Organizer

    Jakub Zakrzewski

    Event 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.

Do I have to use Cohere's Generate?

You can use other APIs but with Generate you will be able to get some additional points.

I have other questions.

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

Event Schedule

  • To be announced

Winner Submissions 🏆

TALDERA

TALDERA

Messenger apps like Discord & Slack have "channels" where multiple parties can send hundreds of texts daily. This can get out of hand pretty quickly if you've been offline, and we've sometimes had to scroll through hundreds of messages to understand what we've missed. The issue is that there isn't a quick & accessible way to figure things out. Tal;dera is a Discord bot that provides an easy-to-read, semantically rich summary of a channel's Discord activity in a particular time range. The summary is split into parts, and each part has a timestamp/link to its original messages. Users can call Tal;dera to extract message history and generate summaries (tl;dr's) of previous message chunks, given parameters such as number of messages, start time/date, output format, and chunk sizes. Summaries are given in an organized, embedded format, and are linked to where the conversations took place in the chats. Even though this was a challenging project for us, we were happy with what we were able to get done, and believe that this project has potential for B2B SaaS applications to team managers, employees, and chat service providers. We hope to continue this project by running pilot tests with smaller communities so that they can give feedback on Tal;dera, the summarizer bot for missed activity in Discord channels.

CloseAI Deceptacons

Health E AI assistant

Health E AI assistant

By combining a custom conversant persona and grounded QA, Health-E is able to aid in processing patients, extracting relevant information to fill out forms, and providing advice common knowledge advice on applicable scenarios if prompted with a question. We hope this technology helps cut down healthcare costs by reducing queue times, paperwork, and increasing efficiency overall. Moreover, we envision applications of Health-E's underlying technology beyond the healthcare industry. In particular, regional economics and local communities in developing countries, that now have wide internet access, could greatly benefit from virtual advisors or teachers to supplement the lack of labor supply or poor level of education. We are really proud of what we built and we hope you enjoy both our presentation as well as experimenting with Health-E.

Anomalies Detected

VerifAI

VerifAI

VerifAI is an AI-powered browser extension that helps you verify news from news websites. VerifAi - Detects the claim being made by a news - Checks if the claim has been verified by fact-checkers - Verifies the credibility of the website and author

Thanks Givers

Submitted concepts, prototypes and pitches

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

TALDERA

TALDERA

Messenger apps like Discord & Slack have "channels" where multiple parties can send hundreds of texts daily. This can get out of hand pretty quickly if you've been offline, and we've sometimes had to scroll through hundreds of messages to understand what we've missed. The issue is that there isn't a quick & accessible way to figure things out. Tal;dera is a Discord bot that provides an easy-to-read, semantically rich summary of a channel's Discord activity in a particular time range. The summary is split into parts, and each part has a timestamp/link to its original messages. Users can call Tal;dera to extract message history and generate summaries (tl;dr's) of previous message chunks, given parameters such as number of messages, start time/date, output format, and chunk sizes. Summaries are given in an organized, embedded format, and are linked to where the conversations took place in the chats. Even though this was a challenging project for us, we were happy with what we were able to get done, and believe that this project has potential for B2B SaaS applications to team managers, employees, and chat service providers. We hope to continue this project by running pilot tests with smaller communities so that they can give feedback on Tal;dera, the summarizer bot for missed activity in Discord channels.

CloseAI Deceptacons

Health E AI assistant

Health E AI assistant

By combining a custom conversant persona and grounded QA, Health-E is able to aid in processing patients, extracting relevant information to fill out forms, and providing advice common knowledge advice on applicable scenarios if prompted with a question. We hope this technology helps cut down healthcare costs by reducing queue times, paperwork, and increasing efficiency overall. Moreover, we envision applications of Health-E's underlying technology beyond the healthcare industry. In particular, regional economics and local communities in developing countries, that now have wide internet access, could greatly benefit from virtual advisors or teachers to supplement the lack of labor supply or poor level of education. We are really proud of what we built and we hope you enjoy both our presentation as well as experimenting with Health-E.

Anomalies Detected

VerifAI

VerifAI

VerifAI is an AI-powered browser extension that helps you verify news from news websites. VerifAi - Detects the claim being made by a news - Checks if the claim has been verified by fact-checkers - Verifies the credibility of the website and author

Thanks Givers

Cohere Call Center

Cohere Call Center

Automated call manager for companies. Uses voice detection and text classification. It's a microservices approach with python as code language.

Decepticons

Zipit

Zipit

Using Cohere's API, we have built a solution that aims to significantly increase the productivity of every single busy entrepreneur through the automated processing of emails. Think of this application like a personal AI assistant that can help you with your emails.

Maverick

Perfect Present

Perfect Present

This app utilises the power of Large Language Models to provide gift suggestions for a person given their age, gender and interest.

codreamers

ShubhMitra

ShubhMitra

Shubh-Mitra(शुभ-मित्रा), or a well-wishing friend. AI assistance for positivity. Positively reframe your thoughts and develop gratitude, thankfulness and other qualities.

Fortuna

Working with cohere chat

Working with cohere chat

Traditional customer service web chat is dead. Customers have a poor experience while they wait for inexperienced customer service agents to respond to queries and work through their systems. It's not surprising that most customers come away feeling frustrated. Businesses must take the time to train staff but this comes at a high cost. Introducing co:here chat. Not only does this address the business challenges but it uses most of the components from the co:here stack. With co:here chat customer service web chat might not be dead after all.

Project Danke

revise

revise

Writing is hard. Editing is harder. Why not make it easier for ourselves? Presenting re:vise, a contextualized writing feedback generation bot. Our bot aims to provide the benefits of a peer review without the peer! Imagine having a friend by your side that you can bounce ideas off of or get constructive criticism whenever you need it. Does that sound appealing? Try re:vise today. Just call 1-800-IRE-VISE! Just call 1-800-IRE-VISE! On a more serious note, re:vise aims to help people efficiently write clearly and concisely. This bot is designed to give high-quality feedback about the user's ideas. This type of feedback is more valuable than grammatical fixes because it makes ideas better which in turn improves the writing. On top of that, the bot will always be there when you need it. This is not the case for peer reviews when you could have delays for the review or just bad reviews. At the end of the day, I would rather have written a paper that had an amazing idea with a few grammatical mistakes than a paper with a flat idea and no grammatical mistakes. Which would you prefer?

revise

NLPNER

NLPNER

We have tried to build various models such as rnn, gru, lstm and bert transformer for our project and tried to build the app.

aimeetscybersecurity

vacancy finder

vacancy finder

We decided to extract vacancy finder website through image text cohere ai, and then use non-code app in order to solve registration problems of the vacancies.

AI isnt AI

FAQ Generator for Chatbots

FAQ Generator for Chatbots

Creating content is tough, time-consuming, and requires experts. This is no different for content for chatbots, e.g., when creating a customer support chatbot that typically needs a knowledge base of FAQs (frequently asked questions) and their answers. This is typically done manually in practice and better tools are needed inside the customer experience (CX) platforms. We aim to provide a one-click tool for non-experts to create FAQs and responses for common use cases such as customer support. *Input*: the user can select relevant offline and online documents, such as a product description webpage, internal posts and emails. *Output*: the tool generates a list of FAQs and their answer in a number of uniform styles, e.g., formal, friendly, fun-with-emojis. *Deploy:* with built-in integrations the generated content can be published on a website or chatbot to serve automated answers. In this hackathon we focus on a proof-of-concept service that is able to extract text from a landing page and generate the company name, sector, and FAQs with appropriate answers. In particular, we demonstrate how zero-shot text generation works i) in a simple web application on Streamlit, and ii) on a web app on our systems (Helvia.io) that also puts the generated content into a running chatbot.

Helvia labs

TheraLove

TheraLove

Matching effective mental health therapy that suits you the most, precisely using Cohere Classify artificial intelligence tool. According to TheraLove Bot's assessment of the lovely kind soul's personality, preferences, and current state of mind, TheraLove recommends the appropriate type of mental health therapy. Effective mental health therapy will be recommended after eliminating therapies that are unlikely to suit the unique and lovely individual. While this model had been tested and built at its Alpha Stage by a biomedical engineer, please take the recommendation as a complimentary identification method and seek help from social worker and mental health professionals as everyone’s mental health state varies. Self-diagnosis are not encouraged in any forms. The mission of this project is to bring you the best mental health technology, so please feel free to contact the team as seen on Github for any comments. If in pain or with suicidal attempts, please call your local lifeline from The List of International Suicide Hotlines or any of the lifelines as shown on Github.

Mental Health Engineering

Vessel

Vessel

AI is really easy good at answering our questions, creating videos and even creating voice models. So many ground breaking tools but they can not understand each other? We are building a AI mediator that can answer your questions and knows how to talk to translate it to other AI tools. Our first use case is a text-To-Education model where you can input a question that runs through vessel generate an answer and translate this to other Ai tools. Vessel is backbone of this new age of AI media.

TEXT-TEXT-TO-HUMAN

Sally

Sally

Celebrate thanksgiving beyond having a feast with our present loved ones! Meet Sally, who will help us reconnect with our lost loved ones. Sally is a bot powered by co:here Generate and co:here Classify, that will help us reconnect with our lost loved ones through chat. We can use Sally with just 2 simple steps: 1. First, add Sally on Telegram (https://t.me/ReconnectWithSallybot). 2. Second, Upload a chat archive with a lost loved one. Checkout the pitch: https://youtu.be/COjzdB5uyPs Checkout the live technical demo: https://youtu.be/Xc0aRSRrQcw What happens under the hood? When a user send a message to our Telegram bot, a webhook is send to our service deployed on EC2. Our server then call Cohere generate API to generate the appropriate response. But before we forward it to the user, we call Cohere classify API to determine whether the text is safe to send to our user or not! If not, we regenerate it again! Why? There are about 500 people grieving a lost one every minute, with 20% of them experiencing a complicated grief. Although we can not fix their grief, Sally is here to help the cope. Any undelivered thank yous, I love yous, and goodbyes. Say them through Sally. Because our lost loved ones are not truly lost, as long as we keep them in our memory. <3

Sally

Drunk driver identification

Drunk driver identification

Thanksgiving is a time for getting together with family and friends. There is typically an overabundance of food but also the temptation to overindulge in alcohol. This makes it one of the most dangerous times of the year in terms of drunk driving car accidents. That's why we came up with this solutuion, an Artificial intelligence based (Deep learning and comuter vision) drunk driver detection system in cars will have a great impact in reducing accidents and increasing the safety for everyone.

AIvolution

Blue Fractal

Blue Fractal

Given a room full of strangers, blue fractal helps users find the most compatible people in the room. The host creates a room on blue fractal, the participants sign up and provide details like Casual interests, Professional interests, Things they can talk about for hours and a message to their match. Blue Fractal then pairs them up with each other based on these fields. It then sends out emails introducing them to each other. It also tells them why they were matched to help start the conversation.

Blue Fractal

Teams: Cohere Thanksgiving AI Transformers Hackathon

Check out the rooster and find teams to join at Cohere Thanksgiving AI Transformers Hackathon

CohereWinners Announced

Enrolled

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