self-project

In this reposetory i will put project i did by my-self. Feel free to customize and extend this app as needed!:)

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#list of project:

1. RAG + Lang
2. summerizer
3. Gemini Chatbot
4. Face & Hand Detection

📄 Document Question Answering Chatbot with RAG and LangChain

This project implements a Retrieval-Augmented Generation (RAG) system using LangChain that allows you to ask questions about the content of a PDF document. The system retrieves relevant information from the document and uses a Large Language Model (LLM) — such as Google Gemini via the ChatGooglePalm wrapper — to generate accurate, context-aware answers.

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📌 Features

• Loads and processes PDF documents to create a searchable knowledge base.
• Splits documents into manageable chunks for embedding and retrieval.
• Uses vector embeddings (e.g., OpenAI embeddings) to index document chunks in FAISS.
• Retrieves relevant document chunks based on user queries.
• Generates answers conditioned on retrieved chunks using an LLM (Google Gemini or OpenAI GPT).
• Maintains conversational history for context-aware dialogue.
• Interactive web UI built with Gradio for easy question answering.

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📄 Text Summarization App

A simple interactive web application for text summarization built using Hugging Face Transformers and Gradio.

📌 Features

• Summarizes input text into a concise summary.
• Uses the pre-trained facebook/bart-large-cnn model for high-quality summarization.
• Interactive and easy-to-use web interface powered by Gradio.

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🤖 Gemini Chatbot

A simple chatbot powered by Google's Gemini Pro API, designed to simulate an ebook customer service assistant. This project features a basic UI using Python, making it beginner-friendly and easy to customize.

📌 Features

• Interactive chatbot powered by Gemini Pro (generativeai)
• Lightweight UI using Tkinter (desktop GUI) or Gradio (web-based UI)
• Clean and simple code structure
• Open-source and easy to extend

Face & Hand Detection with MediaPipe + OpenCV

This project demonstrates real-time face and hand detection using MediaPipe and OpenCV.
It works with your webcam and draws bounding boxes for faces and skeleton landmarks for hands.

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✨ Features

• Detects multiple hands (up to 2 hands).
• Tracks hand landmarks (fingertips, joints, etc.).
• Detects human faces with bounding boxes.
• Runs in real-time using webcam.

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🚀 Installation

Clone this repo and install dependencies:

git clone https://github.com/YOUR_USERNAME/face-hand-detection.git
cd face-hand-detection
pip install -r requirements.txt