AI Agents Hackathon 2.0

Welcome to Opening Stream! Join us for sessions and the Hackathon Guide.

Hackathon Kick-Off

The founders at NewNative and lablab.ai will introduce participants to our mission and the opportunities you have as a member of the lablab.ai community.

NewNative Introduction

Let's go through the Technologies for the Hackathon and how you can learn it.

Technology and Challenge

We will guide you through the website, and Discord community - to make sure you will succeed at the Hackathon

Hackathon Guide

Albert Astabatsyan, a no-code veteran and Bubble.io expert, will be joining us for a demo of some of the AI agents created with Fine-Tuner!

No-Code AI Agents with Fine-Tuner

Divyansh Garg, an AI and RL researcher at the world's biggest AI labs and creator of MultiON, is joining the Kick-Off to introduce you to AI agents and inspire you in building your own!

Guide through AI personal agent - MultiOn

After the Kick-Off stream, focus on finding your team for the Hackathon and start brainstorming your idea!

Team Formation time!

Submission Deadline

We are a team of two starting our Hackathon journey together

TeamAnkuh

phoenixdelta

ankithar

This is a web application that uses OPENAI API and Langchain and Streamlit to help you upload your PDFs.
The MultiPDF Chat App is a Python application that allows you to chat with multiple PDF documents. You can ask questions about the PDFs using natural language, and the application will provide relevant responses based on the content of the documents. This app utilizes a language model to generate accurate answers to your queries. Please note that the app will only respond to questions related to the loaded PDFs.
The application follows these steps to provide responses to your questions:

    PDF Loading: The app reads multiple PDF documents and extracts their text content.

    Text Chunking: The extracted text is divided into smaller chunks that can be processed effectively.

    Language Model: The application utilizes a language model to generate vector representations (embeddings) of the text chunks.

    Similarity Matching: When you ask a question, the app compares it with the text chunks and identifies the most semantically similar ones.

    Response Generation: The selected chunks are passed to the language model, which generates a response based on the relevant content of the PDFs.


A web-app that lets you upload upto 200 MB of PDFs and lets you ask questions from it. 

"TeamAnkuh team on AI Agents Hackathon 2.0 Hackathon"

Team Idea

Submission