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@article{177555,
        author = {Bhukya Sandeep and Jabbu Shiva and Chappala Sri Harshitha and Junugari Laharika and Guguloth Narendra and Sapavat Vignesh and A.Sowmya},
        title = {FOODSNAP : Healthy Recipe Based On Health Condition},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {1325-1331},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177555},
        abstract = {Abstract for FOODSNAP: Healthy Recipe Based on Health Condition FOODSNAP is a unique application that offers personalized, health-centered recipes based on individuals' specific health needs. Using proactive, intelligent algorithms and nutritional data, the platform recommends recipes that fit a user’s dietary needs based on health conditions such as diabetes, hypertension, gluten intolerance or heart disease. The enriched data not only leads to app recipes around general wellbeing but recipes tailored specifically towards the health guidelines necessary to manage their health.
In this work, we investigate if putting a healthy bias in a recipe recommendation system and also displaying a healthy tag on recipe cards would influence the choice making of individuals. Finally, we propose three different system-recommended recipes: The first is recipes similar to the users' tastes, the second is recipes we assume to be healthy, and the third is recipes similar to the users' tastes and potentially healthy recipes. We experimentally evaluate the three systems through a user study where we bring participants online to select},
        keywords = {food recommender system; healthcare; collaborative filtering and providing healthy food},
        month = {May},
        }