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@article{160529,
        author = {Anuj Lamba and Anand Kumar Nayak and Pranay Pimple and Vaibhav Patil and Dr. Pawan Bhaldare and Ram Kumar Solanki},
        title = {AI-BASED FITNESS TRAINER},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {1},
        pages = {614-617},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=160529},
        abstract = {Predicting Virtual assistants are an essential part of modern life and are crucial to how we do our everyday business. About 27% of people utilize AI virtual assistants to complete daily chores, according to a 2019 Clutch survey report that was published. With our idea for an AI-based fitness trainer, we intend to investigate the rapidly developing field of artificial intelligence. Our research led us to create Fitcercise, a programmed that counts the repetitions of a particular exercise while detecting the user's workout stance and providing detailed, individualized suggestions on how the user can improve their form. Using AI-driven human pose estimation technology, the software recognizes a person's stance, analyses the geometry of the posture using data and real-time video, and then counts the number of repetitions of the specific exercise.},
        keywords = {Body Recognition, Deep Learning, and Image Processing},
        month = {},
        }