LEAP 2024 Hackathon 

Registration opens

Opening remarks by NewNative, discussing Lablab's mission and vision

NewNative - Brief Introduction to the Hackathon, Challenge, lablab.ai platform, and Discord server.

NewNative. Participants are encouraged to begin working on their projects.

Official Hackathon Kick-off - NewNative

It is a perfect time to connect with potential team members and energize with coffee.

1st Matchmaking Coffee session begins

Emmanuel Iriarte - Building your AI application in rapid prototyping

Workshop

2nd Matchmaking Coffee session begin

Participants resume working on their projects.

Harry Berg

How to launch your career in Ai & Data at supersonic speed.


How to Architect and deliver production-grade, high-speed computation and artificial intelligence software for real-time analytics

Workshop - Anton Alexander

Hacking Commences.

AI personalization in social media and marketing

Ash Barbour 

Workshop -  Jens Ingelsted - How to Pitch 

Hacking Commences

Lossless Data Compression based on new math theory & algorithm

Workshop - Claus Rosenberg Gotthard 

How AI is changing the way we build and operate software


Pawel Czech

End of submissions. Judging commences, and finalists are selected.

End of Closing Ceremony

Winner announcements at the main stage

Here to build graph based Agent orchestration

GpeeTea

Nitya Singh

With just a name of the stock, Buy or sell option and risk strategy, The platform provides you graph analysis(short, medium and long term), News analysis , sentiment and fundamentals analysis and lastly using all the information processed, an advisory strategy for the future.
The platform fetches the real time stock data and analyses short, medium and long term graph data, and performs a visual analysis on it using Gemini Pro Vision model. We have GPT 3.5 32k model to analyze the news fetched from news API in the context of the stock. The graph analysis, news analysis, Fundamentals, user's strategy are all provided to a fine tuned LLM to provide recommendations on strategies for the user.
With the evolution we plan to use an RAG with time series, where each time stamp with 5 days, 1 month and a year data is vectorized with the current value equal to zero and the rest time stamps value normalized. this helps the model to predict future time stamp by taking considerations into previous similar chart movements of k examples. This helps us to track the chart patterns without explicitly defining it. In summary we used RAG to semantically search k similar Graph patterns of a similar time frame and averaging the  k graphs to predict the future chart movements.

Feautures : 
1. The models could be easily swapped. From GPT to Gemini in 5 mins
2. With fine tuning each agent the performance of the overall platform would rise exponentially. 
3. Vectors created for the time series could be more advanced by including the Volume dimension as well as the news sentiment dimension  

This Multi modal, multi agent AI platform simplifies investment research by offering news, charts, financials, and sentiment analysis in one place and as single file of brief information, saving you time and effort in making investment decisions

"GpeeTea team on LEAP 2024 Hackathon Hackathon"

Team Idea

Submission