Electric vehicles (EVs) are becoming increasingly popular due to their environmental benefits, energy efficiency, and lower long-term operational costs. However, ensuring their long-term reliability, safety, and optimal performance depends heavily on implementing effective diagnostic and monitoring systems. This project introduces an innovative Internet of Things (IoT)- based solution designed specifically for real-time monitoring and diagnostics of critical EV parameters, including but not limited to battery voltage, current, charge level, motor temperature, and overall system health. The system incorporates a set of on-board sensors integrated with a microcontroller (such as the ESP32), which collects data continuously during vehicle operation. The collected data is then securely transmitted to a cloud platform using encrypted telemetry channels and authenticated connections. This ensures the protection of sensitive data such as battery health metrics, temperature fluctuations, and even GPS- based location tracking, from unauthorized access or tampering. Real-time alerts generated from the system allow for early fault detection, facilitating timely preventive maintenance and enhancing vehicle safety. Data visualization dashboards enable intuitive analysis for both drivers and technicians. The developed monitoring solution is cost-effective, lightweight, and scalable—making it suitable for commercial as well as research applications. It contributes to smarter, safer, and more efficient electric vehicle management.