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@article{200230,
        author = {TAMILARASU V and SUBAKARTHICK K E and DINESHKUMAR M and NISHANTH V and KAVIYARASU S and SUGANESHWARAN R},
        title = {An AI driven SSS for Career Guidance, Scholarships and EDC Subsidy},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {467-476},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=200230},
        abstract = {This work presents a student-centric, intelligent web platform designed to bridge the gap between academic potential and professional realization by centralizing financial support, career planning, and innovation. Navigating the complex landscape of scholarships, government subsidies, and career roadmaps often poses a significant challenge for students due to information fragmentation and a lack of personalized guidance. The proposed solution leverages Artificial Intelligence and gamification to streamline student development through a multi-dimensional framework.
The system operates through four primary modules. First, it implements a sophisticated Recommendation Engine that matches users to financial opportunities and scholarships based on multi-factor eligibility criteria, including academic performance and socioeconomic status. Second, a Career Guidance Module utilizes AI to synthesize user skill sets into actionable professional roadmaps, incorporating real-time market trends. Third, the platform integrates an Entrepreneurship Development Cell (EDC), which fosters innovation by providing AI-generated project ideation, milestone tracking, and mentorship connectivity. Finally, a gamified engagement layer incentivizes consistent interaction through badges and achievement tracking.},
        keywords = {},
        month = {May},
        }