Real Projects Built During Training
Every learner completes practical assignments and hands-on projects throughout the program. These projects are designed to strengthen technical skills, problem-solving ability, and industry readiness.
Autonomous Delivery Robot
Indoor autonomous robot capable of line following, obstacle avoidance, and waypoint navigation using sensors and computer vision.
ESP32 + Raspberry Pi based robot using OpenCV, ultrasonic sensors, and motor control modules.
Smart Attendance System using Face Recognition
AI-powered attendance system that automatically identifies students using facial recognition and stores records in a database.
Python backend with OpenCV and Face Recognition models integrated with a web dashboard.
IoT Smart Home Automation
Control lights, fans, and appliances remotely through a mobile application and cloud connectivity.
ESP32 microcontroller connected with sensors and relay modules communicating through MQTT.
E-Commerce Web Application
Complete e-commerce platform with authentication, product management, shopping cart, and order tracking.
React frontend, Node.js backend, PostgreSQL database, and REST APIs.
AI Resume Analyzer
Analyzes resumes, extracts skills, and compares profiles against job descriptions using NLP techniques.
Python NLP pipeline integrated with a React-based dashboard.
Industrial Equipment Monitoring Dashboard
Real-time monitoring of machine parameters such as temperature, vibration, and power consumption.
IoT sensors sending live data to cloud dashboards with analytics and alerts.
Campus Placement Portal
Student placement management system with job postings, applications, interview tracking, and recruiter management.
Next.js frontend with Node.js APIs and PostgreSQL database.
Warehouse Inventory Management System
Inventory tracking platform with barcode scanning, stock updates, and reporting features.
Web-based system with authentication, reporting modules, and inventory analytics.
Voice Controlled Virtual Assistant
Desktop assistant capable of executing commands, answering queries, and automating basic tasks.
Speech recognition pipeline connected with Python automation modules.