Update README.md

README.md

@@ -1,14 +1,99 @@
 ---
 title: Pose Estimation MediaPipe
-emoji: 👁
-colorFrom: indigo
-colorTo: blue
+emoji: 🧍
+colorFrom: purple
+colorTo: gray
 sdk: gradio
 sdk_version: 5.49.1
 app_file: app.py
 pinned: false
 license: mit
-short_description: Pose Estimation MediaPipe for Human Movements
+short_description: Pose Estimation App for Human Movement
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+<h1 align="center">🎯 Pose Estimation - MediaPipe (CPU Optimized)</h1>
+
+<center>
+A lightweight Gradio web app for performing human pose estimation using [MediaPipe].  
+Optimized for CPU-only environments.
+</center>
+
+---
+
+## ⚠️ Important Warnings
+
+- ⚠️ **Maximum video size:** 5 MB (due to CPU processing limits).  
+- ⚠️ **Processing time:** Long videos may take several minutes to process.
+  
+---
+
+## 🧠 Description
+
+This project provides an easy-to-use interface to run human pose estimation on videos.  
+It uses **MediaPipe Pose** to detect and visualize human body landmarks frame by frame.
+
+You can choose between:
+1. **Pose on original video** — overlays pose landmarks directly on the original video.  
+2. **Pose only (black background)** — displays only the pose skeleton on a dark background.
+
+---
+
+## ⚙️ Parameters
+
+| Parameter | Description |
+|------------|--------------|
+| **min_detection_confidence** | Minimum confidence threshold for the model to detect a pose. |
+| **min_tracking_confidence** | Minimum confidence for the model to track poses across frames. |
+
+Both values range from **0.0 to 1.0**.  
+Higher values increase accuracy but may slow down performance on CPU.
+
+---
+
+## 🧩 Project Structure
+
+```
+📂 Projects_Repository/
+ ├── pose_estimation_app.py     # Main Gradio app
+ ├── requirements.txt           # Python dependencies
+ ├── README.md                  # Project documentation
+```
+
+---
+
+## 🧑‍💻 Tech Stack
+
+- [**MediaPipe Pose**](https://mediapipe.dev/) – Pose detection and tracking  
+- [**OpenCV**](https://opencv.org/) – Video processing and frame manipulation  
+- [**NumPy**](https://numpy.org/) – Array and numerical operations  
+- [**Gradio**](https://www.gradio.app/) – Web-based user interface  
+
+---
+
+## 🧠 Notes
+
+- The app is **CPU-only**, optimized for lightweight use.  
+- For GPU acceleration, consider using TensorFlow or PyTorch-based pose models.  
+- Works best with short videos and well-lit subjects.  
+
+---
+
+## 🔗 Visit the Repository
+
+👉 [GitHub: 1-echo / Projects_Repository](https://github.com/1-echo/Projects_Repository)
+
+---
+
+## 🪪 License
+
+This project is released under the **MIT License**.  
+You are free to use, modify, and distribute it with attribution.
+
+---
+
+## 🙌 Acknowledgements
+
+- [MediaPipe by Google](https://mediapipe.dev/)  
+- [Gradio](https://www.gradio.app/)  
+- [OpenCV](https://opencv.org/)  
+- [NumPy](https://numpy.org/)