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@article{196990,
        author = {Vaibhav Pandit and Sahil Salunkhe and Atharva Salunke and Santosh Shirke and Poorna Shankar},
        title = {AI-Powered Smart Donation and Student Support System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {5328-5335},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196990},
        abstract = {Non-Governmental Organizations (NGOs) play a crucial role in supporting education and social development; however, many organizations still rely on manual or semi-digital systems that lead to inefficiencies, lack of transparency, and limited scalability. This paper presents “Donation and Student Support Management System,” a web-based platform designed to automate key NGO operations such as donation management, student tracking, and report generation. The proposed system integrates a Resume Analysis module that analyzes student resumes and provides structured insights such as skill identification, domain classification, and improvement suggestions to support career development. The system is developed using web technologies including HTML, CSS, JavaScript for the frontend, PHP for the backend, and MySQL for database management. The implementation demonstrates improved operational efficiency, enhanced transparency in fund management, and better data handling. It also supports students by providing basic resume insights for career improvement. The system is scalable, user-friendly, and suitable for modern NGO operations.},
        keywords = {NGO Management, Donation Management, Student Support System, Resume Analysis, Web Application},
        month = {April},
        }