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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 Credit Risk Scoring System
This project designs and implements credit risk scoring system 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-Based Skin Disease Classification from Images
This project designs and implements skin disease classification from images 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-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 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.
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 Speech Emotion Recognition System
This project designs and implements speech emotion recognition system 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 Chatbot for College Admission Enquiry Automation
This project designs and implements ai chatbot for college admission enquiry automation 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 Resume Screening & Candidate Ranking System
This project designs and implements resume screening & candidate ranking system 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-Powered Attendance System using Face Recognition
This project designs and implements attendance 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.
Intelligent Traffic Signal Control using Real-Time Vehicle Density
This project designs and implements traffic signal control 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-Based Plagiarism Detection System for Academic Documents
This project designs and implements plagiarism detection system for academic documents 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-Driven Personalized Learning Recommendation Platform
This project designs and implements personalized learning recommendation platform 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.