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@article{169655,
        author = {Hemalatha S M and Deepika Merlin N and Gowri Shankar A and Raghavardhini T},
        title = {AI BASED FITNESS AND NUTRITIONAL GUIDANCE SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {1338-1340},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169655},
        abstract = {Advancements in AI have revolutionized nutrition and fitness applications by enhancing personalization in health guidance. This AI-Driven Nutrition and Fitness Guidance System, developed as a Python-based mobile app, integrates CNNs, RNNs, NLP, and chatbot technologies to provide a comprehensive, interactive health support tool. Through CNNs, users can capture images of food and exercise, enabling the app to recognize food items, estimate portion sizes, and log nutrition data for accurate diet tracking. Additionally, the RNN and NLP-powered chatbot offers personalized advice on dietary habits and workout routines, dynamically adjusting recommendations based on user engagement and progress. Leveraging TensorFlow and PyTorch for AI models and frameworks like Kivy or BeeWare for an intuitive interface, this system delivers a holistic and accessible approach to nutrition and fitness, helping users achieve and maintain their health objectives effectively.},
        keywords = {Chatbot, CNN, NLP, Nutrition, RNN, Fitness, Health tracking.},
        month = {November},
        }