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@article{206804,
        author = {K Amulya shet and Ashmith Manoharan and Hussain Ishaan I K and Krusha S koregaonkar and Kalpit and Prashant and Kiran P. Acharya},
        title = {Intelligent Goal Tracking and Performance Prediction System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {514-517},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206804},
        abstract = {The rapid evolution of AI technology such as artificial and machine learning has had a major impact on performance monitoring and improvement, particularly in education. In this paper, we present an Intelligent Goal Tracking and Performance Prediction approach to enhance student achievement by data- driven insights. The system employs such variables as academic achievement, attendance trends, behavioral patterns and Socioeconomic factors affect what will happen in the future. We don’t need to wait to check how people are doing at specific times. Instead, we can monitor things continuously and catch any problems early. This allows us to help people sooner. The system uses something called intelligence to ensure we understand how it makes predictions. It also sends out alerts promptly. It provides personalized advice to help teachers and students address ongoing issues. This model creates a learning environment where people can take action and adjust, which helps them reach their goals and reduces their chances of failure.},
        keywords = {intelligence, achievement, goal tracking, machine learning, performance prediction, student outcomes.},
        month = {July},
        }