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SOHAM PANDA  • Peerlist

Developed an autonomous AI control system for mega-venues that shifts crowd management from reactive surveillance to predictive orchestration. Kinesis utilizes digital twin simulations and behavioral modeling to dynamically route crowds and mathematically reduce the risk of crush incidents.

Kinesis: Biometric Crowd Orchestration System

Movie Recommendation System this project is a content-based movie recommendation system built using Python and Streamlit. Given a movie title, it suggests similar movies using a combination of movie metadata and cosine similarity, along with movie posters fetched via the TMDb API.

Movie Recommendation System

A Generative AI application built with Streamlit and Google Gemini (GenAI SDK). Core Logic: Uses few-shot prompting to map academic inputs to specific user interest domains. Features: Real-time content translation, automated MCQ generation based on context, and session-based progress tracking. Development: Rapid prototype completed in 3 hours.