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@article{163694,
        author = {Sheikh Mudasir Rashid and Binita Pun Magar and Farmaan Feroz and M Kesavan},
        title = {Protecting User Data in Profile Matching Social Networks},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {11},
        pages = {1578-1582},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=163694},
        abstract = {The project "Protecting User Data in Profile Matching Social Networks: A Matrimony-Inspired Approach" aims to improve online interactions' security and privacy, which is a pressing necessity. For current users, the platform provides secure authentication by utilizing facial recognition technology. To prevent unauthorized access, new users must go through a laborious registration process that requires them to submit 100 facial photographs and personal information. To protect user data, the system has an alarm mechanism that notifies administrators of any illegal login attempts. Users that successfully authenticate are granted access to an intuitive dashboard where they may browse project information and see other users' profiles. Sending requests to possible matches will cause notifications and approval messages to be sent back. Users who have been approved can use a Telegram bot to start secure chats and view complete profiles. This all-inclusive strategy offers a smooth and safe online interaction experience, similar to a marriage-matching website, while also safeguarding user data.},
        keywords = {},
        month = {},
        }