Helping self-learners make smarter YouTube choices
YTGuide is an AI-powered SaaS platform that helps self-learners evaluate and choose the best YouTube course for any topic.
Users paste 2 or more YouTube links (videos or playlists), and YTGuide compares them using:
- ✅ Content analysis
- ✅ Relevance to goal
- ✅ Recency & clarity
- ✅ Overall learning value
It then ranks and recommends the best course to start with — saving learners hours of research.
YTGuide is designed to:
- ❌ Eliminate low-quality or outdated tutorials
- ✅ Provide clear AI-backed reasoning for rankings
- 🧠 Act as your personal course advisor for YouTube
| 🔹 Home & Health Routes | 🔹 API v1 & v2 Analysis Endpoints |
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| 🔹 API v1 Request/Response | 🔹 API v2 Request/Response |
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| 🔹 API Postamn Collection | 🔹 API Postamn Collection |
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- Node.js (v14 or higher)
- YouTube Data API Key
- Gemini API Key
- Groq API Key
- Clone the repository
git clone https://github.com/kashyapprajapat/ytguide-backend.git
cd ytguide-backend- Install dependencies
npm install- Environment Setup
cp .env.sample .envUpdate .env with your keys:
YOUTUBE_API_KEY=your_youtube_api_key
GEMINI_API_KEY=your_gemini_api_key
GROQ_API_KEY=your_groq_api_key
PORT=3000- Run the application
npm start- Health Check:
GET http://localhost:3000/health - v1 Endpoint:
POST http://localhost:3000/api/v1/youtube-urls - v2 Endpoint:
POST http://localhost:3000/api/v2/youtube-urls
YTGuide_Backend/
├── 📁 .github/ # GitHub workflows
├── 📁 DemoImage/ # Screenshots and demo images
├── 📁 helpers/ # Utility functions
│ ├── geminiHelper.js # Gemini AI integration
│ ├── groqHelper.js # Groq AI integration
│ └── youtubeHelper.js # YouTube API functions
├── index.js # Main application file
├── package.json # Project dependencies
├── Dockerfile # Docker container setup
└── README.md # Project documentation
Automated Deployment Includes:
- ✅ GitHub Actions Integration
- ✅ Docker Containerization
- ✅ Auto-Deploy to Render
- ✅
.envEnvironment Management - ✅ Health Checks & Monitoring
A breakdown of YTGuide's recommendation system
- Input: User submits 3 YouTube video URLs + learning goal
- Analysis: AI fetches video metadata & descriptions
- Processing: Advanced models analyze quality, clarity, and alignment with the goal
- Recommendation: Personalized ranking with reasoning, pros, and cons
- Output: Best video to start learning with a clear explanation
Contributions are welcome! Here's how to get started:
# 1. Fork the repository
# 2. Create your feature branch
git checkout -b feature/AmazingFeature
# 3. Commit your changes
git commit -m 'Add some AmazingFeature'
# 4. Push to the branch
git push origin feature/AmazingFeature
# 5. Open a Pull RequestDeveloped with ❤️ by Kashyap ☕🧋👨🏻💻









