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@article{176551,
        author = {Shaheel Syed Abuthahir S and Rajesh R and Raghul S and Pradeep M R},
        title = {Lost and Found Application},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {5826-5829},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176551},
        abstract = {This paper introduces a department-based access control mechanism in Lost and Found applications. The system ensures that items found in restricted or department-specific areas are only visible to users associated with those departments, enhancing privacy, security, and operational efficiency within institutions where access control is necessary. To further improve the accuracy and efficiency of item identification, a machine learning model is integrated into the system to match reported lost items with found items based on features such as images, descriptions, and categories. This intelligent matching reduces manual effort and increases the chance of successful recovery. The proposed solution involves user-department mapping, visibility logic, and ML-powered item matching integrated within the item posting and retrieval processes.},
        keywords = {Lost and Found, Access Control, Department Mapping, Item Matching, Machine Learning.},
        month = {April},
        }