Autonomous Inventory Management System
Built an AI-powered system using YOLOv8 and OpenCV to detect, identify, and count products from live camera feeds, eliminating manual stock counting. Synced detected product counts in real time to a PostgreSQL inventory database, powering a React dashboard with live-stock analytics and reports. Implemented automated low-stock alerting via Node.js/Express APIs, significantly improving inventory accuracy over manual tracking.
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Full-Stack Quiz Management and Analytics System
Built a scalable quiz platform supporting chapter-wise assessments with real-time answer submission and response-duration tracking. Designed asynchronous FastAPI endpoints for question management, user submission validation, and real-time score calculation. Designed MongoDB aggregation pipelines and compound indexes to compute real-time user retention metrics, completion drop-offs, and platform peak-load hours.
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Personalized Cybersecurity Prediction & Awareness Platform (AIML Platform)
– Built a full-stack AI/ML platform using NLP with TF-IDF and LinearSVC to classify phishing, UPI scams,
OTP fraud, and identity-theft-related threats with real-time inference.
– Integrated a RAG pipeline using embeddings and vector similarity search to retrieve cybersecurity
knowledge and generate context-grounded LLM explanations, threat indicators, risk levels, and recommended actions.
– Developed a Node.js-based AI cybersecurity chatbot and asynchronous Python/React APIs with PostgreSQL persistence for interactive threat analysis, security guidance, and real-time monitoring.
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