Urdu News AI Summarization & Search System
Designed and developed an end-to-end AI platform for processing Urdu news from television broadcasts and digital media. The system automatically transcribes speech, extracts text from news tickers, generates concise summaries, and enables intelligent semantic search across large collections of Urdu news content.
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The system continuously monitors examination halls through live camera feeds, analyzes student behavior, and flags suspicious activities such as mobile phone usage, abnormal head movements, gaze deviation, multiple faces, and unauthorized interactions.
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AI Surveillance & Activity Recognition System
Built a real-time AI-powered surveillance platform for intelligent monitoring, object detection, and security analytics. The system leverages deep learning and computer vision to detect people, vehicles, unattended objects, and suspicious activities across multiple camera streams.
Key Features
Real-time person, vehicle, and object detection
Automatic Number Plate Recognition (ANPR)
Facial recognition and identity verification
Multi-object tracking using ByteTrack
Unattended baggage and boundary breach detection
Crowd monitoring and suspicious activity recognition
Real-time alerts and monitoring dashboard
Optimized for high-performance GPU deployment
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AI Chatbot with RAG & Multi-Agent System
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