The final build consists of: A wheelchair frame made from recycled tripod stand legs for adjustability. Three velcro straps for securing the structure above the dog’s body. An ESP32-based IoT system that transmits sensor data to the Blynk platform. Suspension was ruled out due to stiffness in available components. The wheelchair allows remote monitoring of location, noise, and posture – giving the owner peace of mind and the pet enhanced comfort and safety.  

Idea: The team aimed to build a wheelchair for dogs that goes beyond mobility, integrating IoT features to improve the lives of pets and owners. These include: GPS tracking for real-time location updates. Sound sensor to monitor noise levels around the dog. Gyro sensor to detect falls or unusual posture. The frame design was intended to be terrain-friendly (suspension idea later dropped due to part constraints). Objectives: Design comfortable, adjustable equipment for disabled dogs. Make the wheelchair modular (height and width adjustable). Improve the owner-dog relationship through responsive monitoring. Integrate: Sound sensor (KY-038) – detects loud environments. Gyro sensor (MPU 6050) – detects if the dog has fallen. GPS module (GY GPSMV2) – allows tracking through Blynk app. Use ESP32 and a portable power bank for smart functionality.