It allows users to upload PDFs and ask questions about the content within these documents.

🧠 Multimodal Retrieval-Augmented Generation that "weaves" together text and images seamlessly. 🪡

Metallum/Metal-Archives scrapers, datasets, analysis and recommendations website

Efficiently search and retrieve information from PDF documents using a Retrieval-Augmented Generation (RAG) approach. This project leverages DeepSeek-R1 (1.5B) for advanced language understanding, FAISS for high-speed vector search, and Hugging Face’s ecosystem for enhanced NLP capabilities. With an intuitive Streamlit interface and Ollama for mode

Budget Buddy is a finance chatbot built using Chainlit and the LLaMA language model. It analyzes PDF documents, such as bank statements and budget reports, to provide personalized financial advice and insights. The chatbot is integrated with Hugging Face for model management, offering an interactive way to manage personal finances.

Developed an intelligent AI chatbot utilizing the DeepSeek LLM, designed for efficient interaction with large documents such as textbooks and study materials. Integrated Docling for parsing and processing large files, and implemented a Retrieval-Augmented Generation (RAG) pipeline using FAISS and Sentence Transformers to optimize context retrieval

This is a chatbot finetuned to give answer to medical related questions

This project uses the CrewAI framework to automate stock analysis, enabling AI agents to collaborate and execute complex tasks efficiently. Example stock: Nvidia. Technologies include Python, CrewAI, Unstructured, PyOWM, Tools, Wikipedia, yFinance, SEC-API, tiktoken, faiss-cpu, python-dotenv, langchain-community, langchain-core, and OpenAI.

This is a reasoning AI chatbot that uses Deepseek R1

Museo.ai is an AI-powered chatbot designed for efficient and seamless museum ticket booking. Built using HTML for the frontend and Python for the backend, Museo.ai provides an engaging user interface and powerful backend logic to handle booking requests, manage user interactions, and streamline the ticket purchasing process.

CICD Answering-Question Chatbot for RAG (Retrieval-Augmented Generation) using Streamlit

A Chat bot for Graphic Era Deemed University using Streamlit.

It is an ML_Chatbot that explains concepts and terminologies using open-source tools. Used Hugging Face for embeddings, FAISS CPU for vector storage, and Mistral with streamlit for a conversational interface.

An easy way to understand vector store working and creation.

Pratham bot is a Gemini powered bot for inquiring information about pratham.org

This is a Web-based Q&A Tool that allows users to ask questions based on extracted content from URLs.

AI-Powered Job Recommendation System An intelligent job recommendation system that analyzes PDF resumes and suggests the best job opportunities using NLP, FAISS, and Sentence Transformers.

Simple book recommender application