Find a project you can actually build
Working IoT, AI/ML and embedded builds with abstracts, component lists, documentation, and developer support — ready for your final-year submission.
AI-Powered Resume ATS Score Checker
This project designs and implements resume ats score checker 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 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.
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 Customer Churn Prediction Dashboard
This project designs and implements customer churn prediction dashboard 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 Real Estate Price Prediction Platform
This project designs and implements real estate price prediction platform 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-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-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 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.
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-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-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.