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| Component | Purpose | Key Tech / Tools | |-----------|---------|------------------| | Trending Engine | Calculates a “Hot Score” = (Views × 1.5 + Shares × 1.2 + Avg. Watch‑time × 2) ÷ (Age in hrs + 1) | Apache Flink / Spark Streaming, Redis cache | | Recommendation Service | Personalizes “Hot” list per user while respecting age‑gate | TensorFlow / PyTorch models, Faiss similarity search | | Moderation Pipeline | Blocks explicit or illegal content before it reaches the spotlight | Google Cloud Vision, AWS Rekognition, custom profanity regex, human reviewer UI | | Heat‑Map Visualizer | Shows geographic popularity | Mapbox GL, GeoIP lookup, Elasticsearch aggregations | | Community Interaction Layer | Up‑votes, comments, flags | GraphQL API, PostgreSQL + Redis, real‑time websockets (Socket.io) | | Age‑Gate & Consent | Verifies user age before any “Kama Padam” content is displayed | 3rd‑party age verification (IDology, Yoti), token‑based session management | tamilkamapadamvideos hot
II. What are Tamil Kamapadam Videos?
Conclusion
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