• Fateh Bahadur kunwar
• Ajaypal Singh Chouhan
• Harsh tailor
• Vaibhav Trivedi

In this sense, especially in academic institutions, faculty and their works require assessment to guarantee quality education and accountability. Standard methods depend on primitive and impressionistic analyses, which can be both inconsistent and time-consuming. We present an AI based Faculty Self-Appraisal System which consists of the student’s input the professors' performance metrics for the administrative staffs. AI is used to quickly process this information and provide streamlined performance reports which are objective and based on analytics.This approach not only enhances transparency and fairness but also reduces the workload associated with manual appraisals.

Faculty Appraisal, Performance Evaluation, AI, Automation, Web Application, Student Feedback, MySQL.

"AI-POWERED FACULTY SELF-APPRAISAL SYSTEM FOR AUTOMATED PERFORMANCE EVALUATION. ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 6, page no.401-407, June-2025, Available :http://www.jetir.org/papers/JETIRGW06067.pdf

"AI-POWERED FACULTY SELF-APPRAISAL SYSTEM FOR AUTOMATED PERFORMANCE EVALUATION. ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 6, page no. pp401-407, June-2025, Available at : http://www.jetir.org/papers/JETIRGW06067.pdf