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@article{203663,
        author = {Harsh Rajput and Prathamesh Sathe and Hussain Rangwala and Sanskar Raskar and Prof. Mayuri M. Vengurlekar},
        title = {Developer Performance Insights & Code Activity Analytics},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {12214-12217},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=203663},
        abstract = {This project focuses on analyzing the productivity of programmers and developers using real, monitored work related data. The system collects multiple parameters such as work hours, attendance, break timings, leaves, task completion schedules, workload distribution, and GitHub activity. By applying intelligent data analysis and machine learning techniques, it evaluates individual productivity levels and generates actionable insights. The objective is to assist both developers and management by providing personalized recommendations that improve efficiency.},
        keywords = {Activity logs, algorithmic analytics, corporate integration, metrics, workload distribution, workflow parameters},
        month = {May},
        }