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Feel free to customize and extend this app as needed!:)\n\n----\n#list of project:\n1. RAG + Lang\n2. summerizer\n3. Gemini Chatbot\n4. Face \u0026 Hand Detection\n\n   \n# 📄 Document Question Answering Chatbot with RAG and LangChain\n\nThis 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.\n\n---\n\n## 📌 Features\n\n- Loads and processes PDF documents to create a searchable knowledge base.\n- Splits documents into manageable chunks for embedding and retrieval.\n- Uses vector embeddings (e.g., OpenAI embeddings) to index document chunks in FAISS.\n- Retrieves relevant document chunks based on user queries.\n- Generates answers conditioned on retrieved chunks using an LLM (Google Gemini or OpenAI GPT).\n- Maintains conversational history for context-aware dialogue.\n- Interactive web UI built with Gradio for easy question answering.\n\n---\n\n# 📄 Text Summarization App\n\nA simple interactive web application for **text summarization** built using Hugging Face Transformers and Gradio.\n\n## 📌 Features\n\n- Summarizes input text into a concise summary.\n- Uses the pre-trained `facebook/bart-large-cnn` model for high-quality summarization.\n- Interactive and easy-to-use web interface powered by Gradio.\n  \n----------------\n# 🤖 Gemini Chatbot\n\nA 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.\n\n## 📌 Features\n\n- Interactive chatbot powered by Gemini Pro (`generativeai`)\n- Lightweight UI using `Tkinter` (desktop GUI) or `Gradio` (web-based UI)\n- Clean and simple code structure\n- Open-source and easy to extend\n\n# Face \u0026 Hand Detection with MediaPipe + OpenCV\n\nThis project demonstrates **real-time face and hand detection** using [MediaPipe](https://mediapipe.dev) and OpenCV.  \nIt works with your webcam and draws bounding boxes for faces and skeleton landmarks for hands.\n\n---\n\n## ✨ Features\n- Detects multiple hands (up to 2 hands).\n- Tracks hand landmarks (fingertips, joints, etc.).\n- Detects human faces with bounding boxes.\n- Runs in **real-time** using webcam.\n\n---\n\n## 🚀 Installation\nClone this repo and install dependencies:\n\n```bash\ngit clone https://github.com/YOUR_USERNAME/face-hand-detection.git\ncd face-hand-detection\npip install -r requirements.txt\n\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnarges-d%2Fself-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnarges-d%2Fself-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnarges-d%2Fself-project/lists"}