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@article{157906,
        author = {Nabeel Akhtar and Shanmukh Bhutada and Amogh Bidwe and Shreyas Kamath},
        title = {LOCK CHAIN - A SYSTEM FOR INTERNAL SECURITY OF NATION USING MACHINE LEARNING},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {8},
        pages = {818-820},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=157906},
        abstract = {This research paper presents a complaint management system developed for a nation's internal security affairs. The system allows for secure and anonymous reporting of concerns and complaints by citizens, with a focus on improving transparency and organizational performance. Utilizing machine learning techniques and a NoSQL database (MongoDB), the system evaluates and assigns a trust score to each complaint based on its content and the history of the user submitting it. An auto-generated report is then sent to the relevant local authority with the trust score and other relevant information. The system also includes a search function for authorized users to access all complaints in a specific area. The use of this system aims to combat corruption and improve the overall security of the nation.},
        keywords = {},
        month = {},
        }