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@article{199424,
        author = {Saish Bore and Aditi Patil and Mahesh Nage and Sheel Nikalje and Sayali Jadhav},
        title = {Vote Chain: Secure voting with blockchain and Machine learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {12561-12564},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199424},
        abstract = {Electronic voting systems are increasingly being used to simplify and speed up election processes. However, issues such as identity fraud, vote tampering, and lack of transparency still remain a concern. In this project, a secure voting framework is developed by combining blockchain technology with machine learning-based facial authentication. Blockchain is used to store votes in a decentralized manner, making them difficult to alter once recorded. For user verification, a facial recognition model compares live images with stored data to ensure that only valid users can vote. The system is implemented using Python, while MySQL is used for data management. During testing, the system showed reliable performance in terms of authentication accuracy and security, making it a practical solution for improving trust in digital voting systems.},
        keywords = {},
        month = {April},
        }