Engineering Projects
A selection of hands-on engineering projects demonstrating proficiency in embedded systems, robotics, automation, and full-stack development for hardware-integrated applications.
Reconnaissance Drone System
Full-stack IoT project replicating Rainbow Six Siege reconnaissance drone with GPS tracking, live camera streaming, and wireless web control interface.
Technical Implementation
- Hardware: Raspberry Pi 4, GPS module (NEO-6M), camera module, DC motors with H-bridge driver, LED lighting system
- Software Stack: Python Flask backend, HTML/CSS/JavaScript frontend, real-time WebSocket communication
- Features: Real-time GPS coordinates with map integration, directional motor control (forward/backward/left/right), LED control system, remote system monitoring and diagnostics
- Challenges Solved: Implemented efficient power management for extended operation, optimized video streaming latency, developed robust error handling for sensor failures
Key Achievements
- Successfully integrated multiple subsystems (GPS, motors, camera, LEDs) on single Raspberry Pi
- Developed responsive web interface accessible from any device on local network
- Implemented fail-safe mechanisms for loss of connection scenarios
Autonomous Warehouse Distribution Robot
Color-detecting line-following robot simulating warehouse logistics with dynamic path selection and autonomous navigation capabilities.
Technical Implementation
- Hardware: Arduino Mega 2560, RGB color sensor (TCS3200), IR line sensors array, DC motors with encoders, L298N motor driver, ultrasonic sensors for obstacle detection
- Control Algorithm: PID controller for smooth line following, color recognition state machine, decision logic for intersection handling
- Functionality: Autonomous line following on black tape paths, color marker detection (red/blue/green) for route decisions, speed adjustment based on curve detection, obstacle avoidance integration
- Optimization: Tuned PID parameters for various surface types, implemented sensor fusion for improved accuracy
Key Achievements
- Achieved 95% accuracy in color-based path selection during testing
- Developed modular code architecture for easy addition of new behaviors
- Successfully demonstrated autonomous navigation through complex warehouse-style course
Smart Hydroponics System
Automated hydroponic growing system with environmental monitoring, intelligent scheduling, and remote control capabilities for optimized plant growth.
Technical Implementation
- Hardware: Arduino Uno with relay shield, DHT22 temperature/humidity sensor, water level sensors, submersible water pumps, LED grow light strips, solenoid valves for nutrient delivery
- Control Systems: Time-based scheduling for light cycles (16/8 photoperiod), automated water circulation with programmable intervals, temperature-based fan control, nutrient delivery timing
- Monitoring: Real-time environmental data logging, water level monitoring with alerts, power consumption tracking
- Safety Features: Overflow protection, dry-run prevention for pumps, emergency shutoff mechanisms
Key Achievements
- Maintained optimal growing conditions (68-75°F, 50-70% humidity) with automated adjustments
- Reduced manual intervention time by 90% compared to traditional growing methods
- Successfully grew multiple crops with improved yield compared to baseline
Automated Chicken Coop with Security System
Comprehensive home automation system featuring automated door control, multi-level predator detection and deterrent, with intelligent scheduling based on daylight patterns.
Technical Implementation
- Hardware: Raspberry Pi 4, NEMA 17 stepper motor with driver, PIR motion sensors, photoresistor for light detection, servo motors for secondary mechanisms, strobe lights and audio deterrent system
- Door Automation: Precise stepper motor control for sliding door mechanism, limit switches for position feedback, safety sensors to prevent closing on chickens, battery backup for power outage scenarios
- Security System: PIR motion detection with time-of-day filtering, multi-level deterrent (lights → sound → physical barrier), SMS alert system for critical events, video recording triggered by motion
- Intelligent Scheduling: Sunrise/sunset calculation based on GPS coordinates, seasonal adjustment for changing daylight hours, manual override via web interface
Key Achievements
- 100% automated operation with zero manual interventions required
- Successfully deterred nocturnal predators with zero incidents over 6-month testing period
- Modular Python codebase with separate modules for door control, security, and scheduling