Update README.md

README.md

@@ -65,66 +65,3 @@ It seamlessly combines **object detection** and **optical character recognition
 | 💾 Language | **Python 3.11+** | Development language |
 
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-
-## 🚀 Quick Start  
-
-### 1️⃣ Install Dependencies  
-```bash
-pip install -r requirements.txt
-# 🚗 PlateVision 🔍  
-### AI-Powered License Plate Detection & Recognition from Images and Videos  
-
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-
-## 🧠 Overview  
-
-**PlateVision** is an AI-powered web app built with **Streamlit** that detects and recognizes vehicle license plates from **images** and **videos** using a **fine-tuned YOLOv8 model** and **EasyOCR**.  
-
-It seamlessly combines **object detection** and **optical character recognition (OCR)** to deliver a simple, intuitive, and interactive platform where users can upload their media files and get annotated results in seconds — complete with **confidence scores** and **recognized text overlays**.  
-
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-
-## ✨ Features  
-
-✅ Detects license plates from both **images** and **videos**  
-✅ Extracts **license numbers** using OCR (EasyOCR)  
-✅ Displays **detection confidence** and recognized text on output  
-✅ Supports multiple formats — `.jpg`, `.jpeg`, `.png`, `.mp4`, `.mkv`  
-✅ Shows **real-time progress** while processing videos  
-✅ Provides a **clean Streamlit interface** for easy interaction  
-✅ Outputs processed results with bounding boxes and plate numbers drawn on frames  
-
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-
-## ⚙️ How It Works  
-
-1. **Upload Input File**  
-   - The user uploads an image or video through the Streamlit interface.  
-
-2. **License Plate Detection (YOLOv8)**  
-   - A **custom fine-tuned YOLOv8 model** detects the position of license plates in the media.  
-
-3. **Text Recognition (EasyOCR)**  
-   - The detected plate region is passed through **EasyOCR** to read and extract the license number.  
-
-4. **Annotation & Output**  
-   - Detected plates are annotated with bounding boxes, confidence percentages, and extracted text.  
-   - For videos, frames are processed sequentially and stitched back together using **MoviePy**.  
-
-5. **Display**  
-   - The processed media (image or video) is displayed directly in the Streamlit app.  
-
----
-
-## 🧩 Tech Stack  
-
-| Component | Technology / Library | Purpose |
-|------------|----------------------|----------|
-| 🧱 Frontend & UI | **Streamlit** | Builds the interactive web interface |
-| 🧠 Object Detection | **YOLOv8 (Ultralytics)** | Detects license plate locations |
-| 🔍 OCR Engine | **EasyOCR** | Recognizes alphanumeric text from plates |
-| 🎥 Video Handling | **MoviePy** | Processes and reconstructs video frames |
-| 👁️ Computer Vision | **OpenCV** | Image manipulation and annotation |
-| 💾 Language | **Python 3.11+** | Development language |
-
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