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Update README with structured Table of Contents #87

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Please give us a ⭐ and fork this repo to get started. Thank you 🙌🙌.

## Table of Contents

- [Project Overview](#project-overview)
- [Installation](#installation)
- [How to Run & Interface Options](#how-to-run--interface-options)
- [Core Tech Stack & Libraries](#core-tech-stack--libraries)
- [How it Works / Usage](#how-it-works--usage)
- [Main Features](#main-features)
- [Customization & Additional Considerations](#customization--additional-considerations)
- [Contribution](#contribution)
- [PR Template](#pr-template)
- [License](#license)
- [Contact Us](#contact-us)

### Project Overview

This project is a Python-based application that uses OpenCV for real-time facial detection and a pre-trained deep learning model (fer2013_mini_XCEPTION.102-0.66.hdf5) to recognize and analyze facial expressions. By capturing live video feed from the user’s webcam, it identifies the user’s emotions—such as happiness, sadness, anger, or neutrality—based on facial cues.
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