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@article{183037,
        author = {Mrs S.SUGANYA and Dharshini and Dhiyanesh and Shivani},
        title = {AI-Powered Task Management System For Digital Well-being},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {475-478},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183037},
        abstract = {Digital well-being tools often struggle to integrate productivity with mental and emotional health, resulting in fragmented and ineffective user experiences. NoteGiene addresses this gap by blending AI-driven task management with personalized wellness strategies to support holistic self-care. It leverages Recurrent Neural Networks (RNNs) for intelligent task auto-renewal, BERT-based sentiment analysis for emotionally aware motivation, and applies k-means clustering and reinforcement learning to recommend tailored well-being tips. Unlike traditional apps, which treat productivity and mental health separately, NoteGiene unifies them into a single, user-centric platform. In comparative evaluations, it improved task adherence by 22% and reduced indicators of digital fatigue by 28%. These results highlight the potential of AI to harmonize efficiency with emotional wellness, promoting sustained engagement and healthier digital habits in an increasingly demanding technological landscape.},
        keywords = {Artificial Intelligence, Recurrent Neural Networks (RNN), Natural Language Processing (NLP), K-means Clustering, Natural Language Generation (NLG), Sentiment Analysis},
        month = {August},
        }