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Working IoT, AI/ML and embedded builds with abstracts, component lists, documentation, and developer support — ready for your final-year submission.
AI-Based Deepfake Detection System
This project designs and implements deepfake detection system by applying graph-based similarity reasoning to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.
AI-Based Music Genre Classification & Recommendation
This project designs and implements music genre classification & recommendation by applying hybrid rule-based and ML reasoning to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.
Smart AI Proctoring System for Online Examinations
This project designs and implements ai proctoring system for online examinations by applying computer vision + OCR pipelines to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.
AI-Powered Regional Language Translation Tool
This project designs and implements regional language translation tool by applying recommendation algorithms to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.
Smart AI Chatbot for Mental Health First-Aid Support
This project designs and implements ai chatbot for mental health first-aid support by applying ensemble machine learning to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.
AI-Based Driver Drowsiness Detection System
This project designs and implements driver drowsiness detection system by applying recommendation algorithms to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.
AI-Powered Interview Preparation & Mock Interview Analyzer
This project designs and implements interview preparation & mock interview analyzer by applying transformer-based NLP to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.
AI-Powered Question Paper Generator from Syllabus
This project designs and implements question paper generator from syllabus by applying classical ML classifiers to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.
Intelligent Document OCR & Data Extraction System
This project designs and implements document ocr & data extraction system by applying hybrid rule-based and ML reasoning to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.
AI-Powered Content Moderation System for Social Platforms
This project designs and implements content moderation system for social platforms by applying classical ML classifiers to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.
AI-Based Sign Language Recognition & Translation
This project designs and implements sign language recognition & translation by applying graph-based similarity reasoning to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.
Smart AI Assistant for Visually Impaired Navigation
This project designs and implements ai assistant for visually impaired navigation by applying ensemble machine learning to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.