Artificial intelligence for engineering student

Artificial intelligence for engineering student

• 1.
  Artificial Intelligence &Machine Learning  Explainable AI (XAI): Interpretable models for decision- critical systems.  AI for Social Good: ML models for predicting natural disasters, disease outbreaks, etc.  Emotion Detection using Deep Learning on speech or facial expressions.  Machine Learning for Stock Market Prediction using ensemble techniques.  Adversarial Attacks and Defenses in Neural Networks.
• 2.
  Cybersecurity  AI-based PhishingDetection System.  Blockchain for Secure E-Voting System.  IoT Security: Lightweight Encryption Algorithms for Edge Devices.  Cyberbullying Detection in Social Media using NLP.  Digital Forensics using Open-Source Tools. Mobile & Web Technologies  Progressive Web Apps for Rural Healthcare.  Offline-first Mobile Applications using IndexedDB and Service Workers.  Augmented Reality in Education: Interactive Learning Models.  AI-Powered Personal Finance Tracker (Budgeting + Prediction).  Mental Health Chatbot using NLP.
• 3.
  Data Science &Analytics  Predictive Analytics for Student Performance using ML.  Fake News Detection using NLP Techniques.  Traffic Congestion Prediction using Real-Time Data Streams.  Crime Pattern Analysis and Hotspot Prediction.  Healthcare Data Mining for Disease Risk Prediction. IoT & Embedded Systems  Smart Irrigation System using IoT and Sensor Fusion.  Health Monitoring System using Raspberry Pi & IoT.  Voice-controlled Home Automation using MQTT and Alexa.  Vehicle Accident Detection and Notification System. Air Quality Monitoring using IoT with Real-time Dashboard
• 4.
  Cognitive & Human-ComputerInteraction  Brain-Computer Interface for Disabled Individuals.  Usability Testing and Heuristic Evaluation of E-Governance Portals.  Gaze Tracking System for Virtual Classrooms.  Gesture Recognition using Computer Vision.  Voice-Controlled Interfaces for Visually Impaired Users. Interdisciplinary / Sustainable Tech  AI-based Crop Disease Detection using Drone Imagery.  Renewable Energy Optimization using Predictive Modeling.  AI for Water Quality Prediction in Rural Areas.  AI for Wildlife Tracking and Poaching Prevention.  Carbon Footprint Tracker using IoT and Blockchain.