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@article{151104,
        author = {Dr. Dipti Patil and Surekha Iyer and Deesha Gavand  and Pooja Mehta},
        title = {Dietbot - Diet Recommending Chatbot},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {11},
        pages = {709-712},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151104},
        abstract = {Inadequate and inappropriate intake of food is known to cause various health issues and diseases. Due to lack of concise information about healthy diet, people have to rely on medicines instead of taking preventive measures in food intake. Therefore, a user friendly conversational agent like chatbot can be implemented for better user interaction which can give solutions to people’s common questions like ‘what are some healthy meals to have in breakfast, lunch and dinner?’, ‘how much calorie should be consumed in a day?’ and many more questions related to individual’s health. This system attempts to build user’s health profile and stores it in database and recommends food and diet with consideration of the health profile constructed. Also, one can check and calculate their BMI count, ideal body weight and calorie count/consumption based on their information. It is a personalized interactive food recommendation system.},
        keywords = {Chatbot, Diet, Natural Language Processing, Prediction mode, Recommendation, Rasa NLU},
        month = {},
        }