YouTube-InsightX

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YouTube-InsightX

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Real-time YouTube Trending Analytics Dashboard powered by the YouTube Data API, Machine Learning, and Streamlit.

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<h2 align="center">📺 YouTube InsightX

Real-Time YouTube Analytics Dashboard

Python • Streamlit • Machine Learning

![Python](https://img.shields.io/badge/Python-3776AB?style=for-the-badge&logo=python&logoColor=white)
![Streamlit](https://img.shields.io/badge/Streamlit-FF4B4B?style=for-the-badge&logo=streamlit&logoColor=white)
![Plotly](https://img.shields.io/badge/Plotly-3F4F75?style=for-the-badge&logo=plotly&logoColor=white)
![Scikit-Learn](https://img.shields.io/badge/Scikit--Learn-F7931E?style=for-the-badge&logo=scikitlearn&logoColor=white)

</div>

---

## 📸 Screenshots

### Dashboard

![Dashboard](https://raw.githubusercontent.com/chintasankarraj/YouTube-InsightX/main/screenshots/dashboard1.png)
![Dashboard](https://raw.githubusercontent.com/chintasankarraj/YouTube-InsightX/main/screenshots/dashboard2.png)

---

### Analytics

![Analytics](https://raw.githubusercontent.com/chintasankarraj/YouTube-InsightX/main/screenshots/analytics.png)

---

### Prediction

![Prediction](https://raw.githubusercontent.com/chintasankarraj/YouTube-InsightX/main/screenshots/prediction.png)
![Prediction](https://raw.githubusercontent.com/chintasankarraj/YouTube-InsightX/main/screenshots/prediction2.png)

---

### AI Report

![AI Report](https://raw.githubusercontent.com/chintasankarraj/YouTube-InsightX/main/screenshots/AIoverview.png)

---

# ✨ Features

- 📈 Live Trending Video Analytics
- 🌍 Multi-Region Support
- ⚡ View Velocity Calculation
- 🤖 Machine Learning Growth Prediction
- 📊 Interactive Plotly Charts
- 📥 Export Analytics to CSV
- 🎯 KPI Dashboard
- ▶️ Direct YouTube Links
- 📱 Responsive Streamlit UI

---
## 🚀 Highlights

- 📊 Analyzes 50+ trending YouTube videos in real time
- 🤖 Predicts growth potential using Machine Learning
- 🌍 Supports multiple regions
- 📈 Interactive analytics dashboard
- ⚡ Built with Streamlit & Plotly

# 🛠 Tech Stack

| Category | Technologies |
|-----------|--------------|
| Language | Python |
| Framework | Streamlit |
| Visualization | Plotly |
| Machine Learning | Scikit-learn |
| Data Processing | Pandas |
| API | YouTube Data API v3 |

---

# 🧠 Machine Learning

The project uses a Random Forest Classifier to estimate whether a trending video has high growth potential.

### Input Features

- Video Age
- Title Length
- Word Count
- Number of Tags

### Output

- Growth Prediction (High / Low)

---
# Architrcture

YouTube Data API
        │
        ▼
Data Collection
        │
        ▼
Feature Engineering
        │
        ▼
Random Forest Model
        │
        ▼
Interactive Dashboard

# 📂 Project Structure

```text
YouTube-InsightX
│
├── app.py
├── ui.py
├── model_utils.py
├── requirements.txt
│
├── assets
│   ├── css
│   └── images
│
├── screenshots
│
└── README.md
```

---

# ⚙️ Installation

```bash
git clone https://github.com/chintasankarraj/YouTube-InsightX.git

cd YouTube-InsightX

pip install -r requirements.txt

streamlit run app.py
```

---

# 🚀 Future Improvements

- 🔹 Sentiment Analysis
- 🔹 LLM-powered Video Insights
- 🔹 User Authentication
- 🔹 Historical Trend Analysis
- 🔹 Deployment on Streamlit Cloud

---

# 👨‍💻 Author

**Chintasankarraj**

GitHub:
https://github.com/chintasankarraj

LinkedIn:
https://www.linkedin.com/in/chintasankarraj/

---

## ⭐ Support

If you found this project helpful,

⭐ **Give this repository a Star!**

## 🤝 Contributing

Contributions, issues and feature requests are welcome.

If you enjoyed this project, consider giving it a ⭐.

YouTube-InsightX

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