Event ended

Generative AI Hackathon Summary

Generative AI Hackathon image

Hackathon Overview

Our AI hackathon brought together a diverse group of participants, who collaborated to develop a variety of impressive projects based on:

1740

Participants

127

Teams

27

AI Applications

Winners and Finalists

  • We are in the process of selecting the finalist teams.
  • Your voice matters! Vote on your favorite projects in the section below.
  • Join us for the winner announcement stream, which will be streamed live on Twitch.
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Baith al suroor

Baith al suroor بَیتُ الْسرور (house of happiness in Arabic) 🏡🤖 is deeptech solution the power of artificial intelligence to transform your space. With the Cohere language Command model, it can generate descriptions of your desired design, and the Stable Diffusion generative model creates relevant images and transitional videos to bring your vision to your thoughts.

Phoeniks

Cohere
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Streamlit
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I Rene

I-Rene Provides CBT for the lovely user using Cohere Conversant AI tool. The NFT is minted for free by the lovely user to track the CBT sessions and be proud of their healing process. It is a free, open-source, specific & effective mental health therapy needed by everyone, anywhere at anytime. The mental health AI chatbot will be developed as a standalone application that users can download and install on their mobile devices or access through a web-based platform. The chatbot will collect and use user feedback to improve its performance and effectiveness. This will involve monitoring user interactions and responses, and using machine learning algorithms to continuously adapt and improve the chatbot's responses and support. The mental health AI chatbot will use sentiment analysis to understand the emotional state of users and react accordingly. For example, if a user is feeling sad or anxious, the chatbot can provide appropriate support and resources to help the user manage their emotions and feelings. The mental health AI chatbot will use entity extraction to provide context-dependent answers and support, rather than just generic responses. This will involve analyzing the user's messages and extracting relevant entities and information, such as the user's goals, concerns, and challenges. The chatbot can then use this information to provide personalized and tailored support. The mental health AI chatbot will be integrated with a decentralized autonomous organization (DAO) and the Metaverse, which is a virtual shared space for communities and organizations. This will enable the chatbot to access and use decentralized resources and data to provide more accurate, relevant, and engaging support to users.

Mental Health AI

Cohere
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vidSummarizer

vidSummarizer helps you to analyze sentiment & summarize of your audio & video files into simple text within few seconds. It also increase accessibility for users who are deaf.

sundarAI

Cohere

This event has now ended, but you can still register for upcoming events on lablab.ai. We look forward to seeing you at the next one!

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Submitted Concepts, Prototypes and Pitches

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

Help to spread the word and share these amazing projects!

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Streamlit
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I Rene

I-Rene Provides CBT for the lovely user using Cohere Conversant AI tool. The NFT is minted for free by the lovely user to track the CBT sessions and be proud of their healing process. It is a free, open-source, specific & effective mental health therapy needed by everyone, anywhere at anytime. The mental health AI chatbot will be developed as a standalone application that users can download and install on their mobile devices or access through a web-based platform. The chatbot will collect and use user feedback to improve its performance and effectiveness. This will involve monitoring user interactions and responses, and using machine learning algorithms to continuously adapt and improve the chatbot's responses and support. The mental health AI chatbot will use sentiment analysis to understand the emotional state of users and react accordingly. For example, if a user is feeling sad or anxious, the chatbot can provide appropriate support and resources to help the user manage their emotions and feelings. The mental health AI chatbot will use entity extraction to provide context-dependent answers and support, rather than just generic responses. This will involve analyzing the user's messages and extracting relevant entities and information, such as the user's goals, concerns, and challenges. The chatbot can then use this information to provide personalized and tailored support. The mental health AI chatbot will be integrated with a decentralized autonomous organization (DAO) and the Metaverse, which is a virtual shared space for communities and organizations. This will enable the chatbot to access and use decentralized resources and data to provide more accurate, relevant, and engaging support to users.

Mental Health AI

Cohere

Project chAI

An AI-based chatbot

chAI

Cohere

DiscernAI

DiscernAI is designed to tell you whether a text is misinformation or benign

DiscernAI

Cohere

Code Generation

We first tried to push the dataset to the API and train the model through Python script but couldn't find any documentations on that. So trained on web platform and also provided dataset as prompts.

Sentient

Cohere

Virtual AI Patient

"Virtual AI Patient" is a new way dedicated to medical students in order to help them practice on their virtual patient so that they can act more professional and much faster when they face a similar cases in the reality.

Virtual AI Patient

Cohere

Baskful

Baskful is a tool to ease mass asset liquidation. The tool is meant to document items that are to be sold on sites such as Amazon and Ebay. Target users include estate sales, moving companies, and company closings. AI is used to generate copy for the products.

Batman

Cohere

StoryTimeAI

storytime.ai is a innovative, creative application of stable diffusion model (dreamstudio.ai) paired with transformer model(cohere.ai). We leverage powerful features of those models in attempt to solve vital problem: storytelling. It's important to recognize crucial drive of humans to create stories. Now, with help of artificial intelligence our stories could get even more creative and picturesque. Think of all the possible aplications of on-demand stories generator. Batteries (and stylish ilustrations) included! Our solution allows parents to tell brand-new fairy tales to their children. Writters, marketing specialists, basically any proffesion or bussines that deals with creating stories would also benefit from storytime.ai

AIronGolem

Cohere

Regenerate

This application can convert any given text into a visualization. We use LLMs to convert the text into a structured format, and then we use existing visualization libraries to generate infographics from the structured data. Right now in the demo we have built this end to end workflow for Graphs and Timelines but potentially this same tech can be used to power any infographic generation from raw text.

HyperAI

Cohere
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vidSummarizer

vidSummarizer helps you to analyze sentiment & summarize of your audio & video files into simple text within few seconds. It also increase accessibility for users who are deaf.

sundarAI

Cohere

Zodiac

Zo:diac is an interactive web app that provides unique, personalized horoscopes on-demand to users. It prompts the user for their information, including their birth date, and then returns a horoscope specific to their astrological information. It then allows the user to specify a topic, which zo:diac will then return additional horoscope content for. This process can be repeated, allowing the user to delve deeper into their astrology by generating new content. Both the initial horoscope reading and followup topic-based horoscopes are created using co:here’s generate endpoint, by modifying the input prefix to get the appropriate output. The application is created using react, and hosted by cloudflare. It can be accessed either on a desktop or mobile browser. The app is available at: https://zodiac.tarinyoom.io/

Rowdyruff Boys

Cohere
Streamlit
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Prompt Tune Generation

Prompt Tune Generation is a prototype model which has ability to generate music using Cohere prompt by understanding the user input. Using Prompt Tune user can play with different set of Genre as input prompt to the model which will generate music notes followed by a short music clip tuned using custom virtual Keyboard which has single octave. This is one step closer diffusion based model where Generative AI plays a vital role in generating contents on its own.

int elligence

Cohere
Streamlit
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Smarty personal assistant

Smarty quiets the noise around you so you can work peacefully to get things done. It is a personalized task planner that evaluates the importance and urgency of your tasks, then prioritizes and batches them rigorously so you can focus on accomplishing what matters the most.

Smarty

Cohere

MongoDb Quesries

To get MongoDB queries (output) as a response to the UI. In other words, MongoDB Query is a way to get the data from the MongoDB database. MongoDB queries provide the simplicity in process of fetching data from the database, it’s similar to SQL queries in SQL Database language.

AI isnt AI

Cohere
Streamlit
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Osusume

Osusume is a Text-Based Recommendation Engine Powered by Cohere. We are attempting to create a sentiment-based recommendation system using Cohere's Text Embedding and use Text Generation to Explain why it is recommended. We implement Osusume as a framework for people to use their data for more comprehensive implementation for Cohere to be the core processor.

Text-to-Stuff

Cohere

Selfwriter

The solution is based on helping the content writers to easily generate content for their materials. Presently, content creators have to deeply think to write their content which is very time consuming and full of mental stress. This service can tremendously make content creator’s job easy. They can purchase monthly subscription to use tool.

Team selftech

Cohere
replit
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AI chat bot

It’s an AI based chatbot, the customers will put their queries and the system will analyze and then provide the best possible answer according to the query.

TeamGeneration

Cohere
Streamlit
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MeetMate

We created an application to ease the lives of team leaders, by creating a fast and effortless pipeline to propagate the needed information to their teams, other than storing trivial information in pills for a more concise backtracking experience. Starting with OpenAI Whisper, we generate a transcription of the meeting, then by crossing the work of Cohere Generate and Classify, we managed to extract the needed information, then we organize them into a comfortable format to make sure they are easily findable. We developed a platform designed that recaps full business meetings and provides concise summaries including all the relevant information, a list of tasks mentioned during the meeting and the questions asked, with the relative answers. We thought this information was the most useful for a team's member, so the leader can send them the information fast, in order to fill a lack of knowledge and consequent slowdowns in the team's productivity.

NeverOnTime

Cohere
replit
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GenerativEDU

Using Cohere's API, we developed a solution to building more dynamic lessons by making lesson content creation easier and more efficient. By creating a more sustainable workflow for teachers, we hope this idea helps to step away from repetitive tasks to maximize class time with unique learning experiences and engage in more meaningful social interactions in the class room. The spark for this project was focused to build a culture of collaboration amongst fellow teachers to design more cross-curricular activities as well as interdisciplinary / multidisciplinary lessons to go beyond the textbook material in order for students to be exposed to more real-world connections for deeper understanding. With the numerous benefits of collaboration amongst peers, working together can exponentially improve educational experiences for teachers similarly to the idea that teachers encourage for their students. This project holds great meaning for us as we are passionate learners ourselves and we believe working together truly produces amazing results. We hope you enjoy it!

LA Hackers

Cohere

AGI Chat

A ChatGPT alternative based on Cohere’s LLM. In the future, intelligent assistants that are smarter than humans will be a part of everyone's lives. They will assist us in our work, help us have fun, and improve our lives overall. And this is already happening with OpenAI's ChatGPT, which received amazing feedback over the last few days. Some even call it a Google killer! However, we want the future of AI assistants to be open and not solely belong to one company. AGI.chat is an initiative to create an open platform for these intelligent assistants. Currently, only Cohere models are supported, but we plan to add customization, switching between different language models, and more. We see AGI.chat as WordPress for AI-powered assistants.

Ukraine

Cohere

Klurdy XR

This is a demonstration of using NLP to create voice-activated experiences for interacting with products using 3D technologies. It uses NLP to generate product descriptions and intent recognition to create actions from voice. It leverages Web Speech API for text-to-speech and ThreeJS for rendering 3D, currently works on Chrome.

Klurdy XR

Cohere

Sincerely Mr Darcy

Travel back in time and meet your oldest new friend - Mr. Darcy! Our project is a unique pen pal experience; customers subscribe to snail mail one letter every week. We scan and process the letter, using a combination of Google Cloud OCR and Cohere's LLM. This allows Cohere to generate a response in the style of Mr. Darcy, from Pride and Prejudice. To complete the 18th century feel, we send the result to HandWrytten, a robot handwriting service that mails cards with authentic-looking handwriting. Our users are able to experience the joys of a true 18th century friendship, as the Mr. Darcy bot evolves to match the customer's whims through a long history of conversation. Even in the digital age, sometimes we all need a brief return to the analog systems of the past.

Party Pisters

Cohere
Streamlit
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Twitter Helper

Twitter Helper uses cohere's Api to helps you increase your tweets engagement with your audience by generating hashtags or mention accounts relevant to your tweets. It can also summarize your long tweets to overcome twitter's 280 characters limitation

Lucifer

Cohere

Image to Emote

The system generates emotions from images, primarily intended for game NPCs so that they would react emotionally to the game environment. The sentiment analysis model is an LSTM-based Dense Neural Network that are fed Word2Vec embeddings. The model was trained using generated data from cohere.ai using the prompt: "I felt <emotion> when I saw <img2text>" System Flow: img2txt -> cohere.ai generator -> text2emote -> LSTM+DenseNN The images are passed to a CLIP Interrogator (BLIP + CLIP (ViT-32-B)) to generate text descriptions. Such text descriptions are elaborated by cohere.ai generator to generate emotional responses using the prompts: "When I saw <img2txt output>, I felt emotions such as"

Image2Emote

Cohere
Streamlit
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Cover Letter Generator

Generates the Cover letter Based on prompt with the help of cohere playground API. Feather is AI based model that automatically generates magnificent coverletter within a minute based on prompts feather helps you create eloquent cover letter for your dream.

Spartans

Cohere

Virtual Story

Today the number of literature readers is declining worldwide, especially among younger generations, which is affecting overall education level very negatively. This is mostly due to increasing popularity of online social media and gaming activities. However, technological development shouldn't mean for important knowledge to fade away. It is important to digitalize books and cognitive literature and adapt it to modern norms. That why we created Virtual Story app, which is hybrid of books and video games, based on various literature and with help of refined audio-visual and gaming elements, it will make reading process educational like books and engaging, fun and interactive like video games.

Virtual Story

Cohere
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Baith al suroor

Baith al suroor بَیتُ الْسرور (house of happiness in Arabic) 🏡🤖 is deeptech solution the power of artificial intelligence to transform your space. With the Cohere language Command model, it can generate descriptions of your desired design, and the Stable Diffusion generative model creates relevant images and transitional videos to bring your vision to your thoughts.

Phoeniks

Cohere

AI Chatbot

Chatbots in the healthcare field are providing patient assistance and care. AI-powered medical assistant can book appointment, monitor a patient health status and perform other time-intensive responsibilities such as inventory, billing and claims management . There are three key limitations: 1)Explainability 2)Datarequirement 3)Transferability STATEMENT: To be able to enter a prescription with structured data in a software system, within a comparable time to hand written prescription. IDEA: 1) Automation of handwritten and digital prescriptions to reduce entry time. 2) Improve the effectiveness of customer service terms. 3) Reduce the potential for human error. 4)Collect candid and meaningful customer feedback. 5) Guide customers along the path to purchase. 6) Build stronger customer relationships Chatbots reside in the most commonly used apps in the form of assistants on various websites where they can converse with the users. With advanced machine learning algorithms and natural language processing methods enabled , these chatbots can create maps linking symptoms and diseases. Chatbots in the industry for medical care ,ask some standard questions and help create a profile based on age ,sex, and medical history . They can record the users history and analyze symptoms based on users inputs. They can also use image and voice processing to record and match symptoms against the database using the gathered information it automatically print handwritten and digital prescriptions. Natural language processing Deep learning Context aware processing Intelligent robots Neural networks Fuzzy logic Support vector machines Genetic algorithms Hybrid system

AiDemanica

Cohere