MPU6050 Sensor: Tracks acceleration and angular velocity in real-time. ESP32 Microcontroller: Enables wireless data transfer. LED RGB Strip: Lights up in different colors based on the power of the shot. Customizable Software: Allows users to fine-tune feedback and data analytics. Machine Learning Ready: Future upgrades can include predictive performance insights using ML algorithms. 

Idea: To address this gap, the team developed a Smart Tennis Racket embedded with motion sensors and a visual feedback system. It uses an MPU6050 accelerometer and gyroscope to capture data, and an ESP32 microcontroller to wirelessly transmit performance metrics. An LED RGB strip lights up to reflect the intensity of each shot, offering immediate, intuitive feedback. Objectives: 📊 Accurate Shot Analysis – Capture acceleration and angular velocity 📡 Real-Time Data Transmission – Use ESP32 for wireless communication 💡 Visual Feedback – Color-coded LED strip for shot intensity 🧠 Customizable & Open-Source – Scope for ML integration 👨‍🏫 User-Friendly Interface – Easy interpretation for players and coaches