Upload README.md

README.md

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+---
+title: SmartVision AI
+emoji: 👀
+colorFrom: blue
+colorTo: green
+sdk: docker
+pinned: false
+license: mit
+app_port: 7860
+---
+
+# 🔍 SmartVision: Advanced Object Detection & Classification
+
+This project is an end-to-end Computer Vision pipeline designed for training and comparing multiple Deep Learning architectures (VGG16, ResNet50, MobileNetV2, EfficientNet) and real-time detection via YOLOv8.
+
+## 🚀 Project Features
+* **Multi-Model Comparison:** Dynamic leaderboard comparing accuracy and inference latency.
+* **YOLOv8 Integration:** Real-time object detection on 25 COCO-subset classes.
+* **Automated Pipeline:** Scripts for dataset generation, model training, and evaluation.
+
+## 📂 Directory Structure
+* `app.py`: Main Streamlit interface.
+* `models/`: Contains the trained `.h5` and `.pt` weights.
+* `pages/`: Additional dashboard pages for performance analytics.
+* `training/`: Specialized scripts for each architecture.
+
+## 🛠️ Local Setup
+1. Clone the repository.
+2. Install dependencies: `pip install -r requirements.txt`
+3. Run the app: `streamlit run app.py`