India is the biggest democracy country in the world, so sustaining the integrity of its electoral process is a challenge. To prevent voting fraud, booth capturing, and electronic voting machine (EVM) tampering in this situation, secure electronic voting mechanisms have become important. This presented work suggests a unique approach to improve voting mechanism security, transparency, and efficiency. The goal of this paper is to propose a robust EVM based system by combining blockchain technology, the Internet of Things (IoT), and face recognition based on Aadhaar cards. By verifying voters through facial feature matching with photos from their Aadhaar cards, this innovative method will significantly lower the number of duplicate and bogus ballots. Future electoral processes in India may be completely reinvented once this biometric identity verification system is implemented with seamlessness. In this paper propose a system design which can improve accuracy while retaining voter anonymity when EVM integrating IoT devices with blockchain technology. The cryptographic algorithms that support our technology also highlight how crucial data security and privacy are. By utilizing this cutting-edge technology, we are able to enhance the voter identification process also reducing the risk of issues like voting fraud, booth capture, and modification of electronic voting machines (EVMs) which are the common threats for voting process.