Every project here is built, tested, and working. From robotics to AI automation — this is proof of innovation in action.
Problem: Control a robotic arm using hand gestures — no buttons, no joystick. AI reads movements in real time using gesture recognition.
Problem: Four-legged walking robot that mimics animal locomotion using Gait Algorithms and adaptive movement control.
Problem: Two-wheeled inverted pendulum robot maintaining balance using PID control and real-time gyroscope stabilisation.
Problem: Collect real-world sensor data and observe patterns over time — understanding how machines gather and interpret information.
Problem: Build a multi-condition logic system using layered IF-THEN decision rules — foundation of ML models and computational thinking.
Problem: Build your first programmable robot and master structured movement logic — decision-tree thinking in a physical machine.
Problem: Design a rule-based traffic automation system using structured logic and multiple sensor inputs.
Problem: Create a rover that follows a path using real-time IR sensor feedback — foundation of all autonomous navigation systems.
Problem: Build a robot that detects and avoids obstacles independently — making real-time decisions without any human input.
Problem: Design a rover with precision object placement for school competitions — combining navigation, avoidance, and delivery.
Problem: Train a simple AI model using custom data and connect predictions to robotic movement — where robotics meets machine learning.
Problem: Collect gesture data, train a model, and control robots using real-time AI-based gesture recognition with neural networks.
Problem: Programmable robotic mobility system for object transportation and controlled navigation with precision movement.
Problem: Build and program a robotic arm capable of executing structured pick-and-place and repeatable task operations.
Problem: Walking humanoid robot introducing coordinated movement, programmed gestures, and sound-based interaction.
Problem: Structured robotics system simulating warehouse coordination with task-based navigation and multi-step execution logic.
Problem: Build a dual-axis solar tracking system using closed-loop feedback and LDR sensors to maximise energy capture.
Problem: Monitor temperature, humidity, and light in real time and trigger intelligent alerts based on environmental changes.
Problem: Design a smart irrigation system that monitors soil moisture and automates water delivery using sensor-based feedback.
Problem: Design and build your own intelligent system using sensors, decision logic, and actuator integration — concept to demonstration.
Problem: Teams build Bluetooth-enabled rovers for real-time competition challenges and tactical missions under pressure.
Problem: Multi-sensor security prototype combining motion, vibration, and environmental detection for real-time alert systems.
Here is what I am currently working on. Follow the journey from concept to completion, including the failures and breakthroughs along the way.
Building a four-legged walking robot that mimics animal locomotion using Gait Algorithms and adaptive servo-based movement control.
Two-wheeled inverted pendulum robot maintaining balance using PID control and real-time gyroscope stabilisation — like a robotic Segway.
Building a fully functional drone from scratch with flight stabilisation, autonomous hover control, and camera mount integration.