Update README.md

Author: ShivangNagta

README.md

@@ -1 +1,71 @@
-# CV_PS
+# VideoQA – Ask Questions About Any Video!
+
+> A full-stack AI-powered application that allows users to upload a video and ask context-aware questions about it using CLIP, FAISS, and LLaVA via Segmind API.
+
+---
+
+## How It Works
+
+1. **Upload a Video** via a React + Tailwind frontend.
+2. **Frame Extraction**: Key frames are extracted using OpenCV.
+3. **Embedding**: Frames are embedded using Hugging Face’s CLIP model.
+4. **Indexing**: Embeddings are stored and queried with FAISS.
+5. **Questioning**: User questions are semantically matched to the most relevant frames.
+6. **Answering**: Segmind's LLaVA API generates answers using the retrieved context.
+
+---
+
+## Tech Stack
+
+### Backend (FastAPI)
+- CLIP (Hugging Face `openai/clip-vit-large-patch14`)
+- FAISS (vector similarity search)
+- Segmind LLaVA API
+- OpenCV (frame extraction)
+- Python, PIL, Torch
+
+### 💻 Frontend (Vite + React)
+- Tailwind CSS
+- Fetch API (HTTP-based interaction)
+
+---
+
+## Getting Started
+
+### 🔧 Prerequisites
+
+- Python ≥ 3.9
+- Node.js ≥ 18
+- [Segmind LLaVA API Key](https://segmind.com/)
+
+---
+
+## Backend Setup (FastAPI)
+
+```bash
+# Clone the repo
+git clone https://github.com/coderuhaan2004/VideoQA.git
+cd VideoQA/backend
+
+# Create a virtual env
+python -m venv venv
+source venv/bin/activate  # or venv\Scripts\activate on Windows
+
+# Install dependencies
+pip install -r requirements.txt
+
+# Run the server
+python app.py
+```
+
+## Frontend Setup (Vite-React)
+```bash
+# Clone the repo
+cd VideoQA/chatbot
+
+# Install Libraries
+npm install
+
+# Run
+npm run dev
+```