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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.
Intelligent Diet & Nutrition Recommendation System
This project designs and implements diet & nutrition recommendation system by applying speech and audio processing models 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.
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.
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-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-Powered Resume-to-Job Matching Engine
This project designs and implements resume-to-job matching engine 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 Resume Builder with AI Content Suggestions
This project designs and implements resume builder with ai content suggestions by applying speech and audio processing models 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-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.
AI-Based Handwriting Recognition for Digitized Note-Taking
This project designs and implements handwriting recognition for digitized note-taking 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 Crop Disease Detection from Leaf Images
This project designs and implements crop disease detection from leaf images by applying speech and audio processing models 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.