• Pranjul Jain
• Karnot Bhagyawardhan Singh
• Shauryam Bhatt
• Mr. Pankaj Kumar Vaishnav

This research paper explores the development and implementation of an AI-driven job and internship platform specifically designed to address the challenges faced by technical education graduates in Rajasthan. The platform leverages artificial intelligence to match students with appropriate job opportunities, predict industry skill demands, and provide personalized career guidance. By bridging the gap between academia and industry requirements, this system aims to enhance placement rates, particularly for students from rural areas who face geographical and informational barriers. The paper outlines the system architecture, implementation process, and potential impact on the technical education ecosystem in Rajasthan

AI-driven platform, Job and internship matching, Technical education graduates, Rajasthan, Career guidance, Industry skill demand prediction, Placement enhancement, Rural students, Academia-industry gap, System architecture, Informational barriers, Personalized recommendations, Employment opportunities, Skill mapping

"AI DRIVEN JOB AND INTERNSHIP PLATFORM: TRANSFORMING TECHNICAL EDUCATION PLACEMENTS IN RAJASTHAN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 6, page no.395-400, June-2025, Available :http://www.jetir.org/papers/JETIRGW06066.pdf

"AI DRIVEN JOB AND INTERNSHIP PLATFORM: TRANSFORMING TECHNICAL EDUCATION PLACEMENTS IN RAJASTHAN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 6, page no. pp395-400, June-2025, Available at : http://www.jetir.org/papers/JETIRGW06066.pdf