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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-Powered Recipe Recommendation from Fridge Image
This project designs and implements recipe recommendation from fridge image 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 Number Plate Recognition for Parking Management
This project designs and implements number plate recognition for parking management 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 AI Tutor for Programming Concepts
This project designs and implements ai tutor for programming concepts 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-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-Powered Smart Attendance via Voice Recognition
This project designs and implements attendance via voice recognition 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 Insurance Claim Fraud Detection System
This project designs and implements insurance claim fraud 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 Loan Eligibility Prediction System
This project designs and implements loan eligibility prediction 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 Job Market Trend Analyzer & Skill Gap Finder
This project designs and implements job market trend analyzer & skill gap finder 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.
House Price Prediction using Ensemble Regression Models
This project builds a data-driven pipeline for house price prediction using Random Forest and XGBoost trained on historical/tabular data. The final model is wrapped in an interactive dashboard so non-technical users can get predictions and insights instantly.
AI-Powered Crowd Counting & Density Estimation System
This project designs and implements crowd counting & density estimation system 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-Based Voice Assistant for Smart Home Control
This project designs and implements voice assistant for home control 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.
Intelligent AI-Based Resume Fraud Detector
This project designs and implements resume fraud detector 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.