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@article{193018,
        author = {Avilash Panda and Dr Ashok Kumar Das and Bijaya Panda and Dr Laxman Kumar Soren},
        title = {Empowering Education: Transforming Assessment through an Automated Portfolio Generator in Alignment with NEP 2020},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {3807-3816},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193018},
        abstract = {This research study puts forward an innovative approach for student assessment through the creation of an Automated Portfolio Generator (APG), which takes into account the changing environment of modern education. This tool, which is based on the ideas of the National Education Policy 2020 (NEP 2020), promises to modernize assessment methods by giving teachers, students, and parents thorough understandings of how well their children are doing across many different aspects. The APG makes use of cutting-edge tools like data integration, machine learning, and natural language processing to compile information from a variety of sources, including test scores, extracurricular involvement, teacher evaluations, and tailored assessments. Each student receives a unique portfolio that is tailored to their learning preferences, areas of strength, and areas in need of development. The APG is an effective instrument since NEP 2020 puts a strong emphasis on holistic development and tailored learning. In order to make well-informed interventions and instructional strategies, educators obtain real-time insights about students' academic progress. The tool closes the communication gap between parents and teachers by providing parents a clear picture of their child's overall development. In addition to addressing the shortcomings of conventional assessment techniques, this research advances educational practices. The APG aligns with NEP 2020's vision for evidence-based educational practices by forecasting future academic trajectories and identifying potential support areas through extensive data analysis.},
        keywords = {Automated Portfolio Generator, Student Assessment, Holistic Development, Personalized Learning, National Education Policy 2020, Educational Technology, Data Integration, Machine Learning, Natural Language Processing, Teacher-Parent Collaboration.},
        month = {February},
        }