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YouTube Toxicity Analyzer\n\nA full-stack web application that analyzes YouTube comment toxicity using Machine Learning.  \nBuilt with **Django REST Framework** (backend), **Next.js 16** (frontend), and **scikit-learn** (ML model).\n\n---\n\n##  Features\n\n-  Analyze toxicity of YouTube comments (real-time)\n-  ML-based toxicity detection (trained using scikit-learn)\n-  REST API with Django backend\n-  Modern Next.js frontend (React + Tailwind)\n-  Cross-Origin Resource Sharing (CORS) configured\n\n---\n\n##  Screenshot\n\n\u003cimg width=\"1899\" height=\"905\" alt=\"image\" src=\"https://github.com/user-attachments/assets/487b040c-e2b2-437d-ad5e-74b92677b7aa\" /\u003e\n\n\n##  Tech Stack\n\n**Backend:**\n- Django 5.2.7\n- Django REST Framework\n- psycopg2-binary (PostgreSQL)\n- scikit-learn, pandas, numpy\n- Gunicorn (for production)\n- Railway (deployment)\n\n**Frontend:**\n- Next.js 16\n- Tailwind CSS\n- Axios (API calls)\n- TypeScript\n\n---\n\n##  Setup Instructions\n\n###  Backend (Django)\n\n```bash\ncd backend\npip install -r requirements.txt\npython manage.py migrate\npython manage.py runserver\n```\n###  Frontend (Next.js)\n\n```bash\ncd frontend\nnpm install\nnpm run de\n```\n\n##  Environment Variables\n\n###  Backend (Django)\n\n```bash\nSECRET_KEY=your_secret_key\nDEBUG=False\nYOUTUBE_API_KEY=your_youtube_key\nALLOWED_HOSTS=*\n```\n\n###  Frontend (Next.js)\n\n```bash\nNEXT_PUBLIC_API_URL=https://your-backend-url.up.railway.app\n```\n\n##  License\nThis project is open-source and available under the MIT License\n\n##  Author\n**Sameer Shah** — AI \u0026 Full-Stack Developer  \n[Portfolio](https://sameershah-portfolio.vercel.app/) \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsameershahh%2Fyt-toxicity-analyzer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsameershahh%2Fyt-toxicity-analyzer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsameershahh%2Fyt-toxicity-analyzer/lists"}