MediBloom AI-Powered Public Health Assistant Revolutionizing Disease Awareness

Abstract

Environmental agents constitute every phenomenon happening across outbreaks of diseases, temperature, humidity, pollution, or any seasonal change in the weather. These necessitate some preventive measures to counter the effects in cases where professional healthcare is far from reach. Solving this issue is an AI-fueled health chatbot called MediBloom, which, with spatial, climatic, and temporal data-cum-input, brute-forces the prediction of probable diseases. Besides the prognosis of diseases, MediBloom also recommends personalised nutrition, provides information about the diseases, and offers some other preventive counselling. The proposed system has a distinctive double fusion of two new solutions: one being the Spatio-Temporal Disease Prediction Network, which integrates chiropractic environmental data and temporal health patterns to predict the nature of illness risks; the other being the Adaptive Preventive Recommendation Engine, which produces adaptive interventions and diet plans with respect to location and seasonal variations. Unlike earlier health care chatbots, this two-module framework guarantees proactive, complete, and user-centred illness prevention. The evaluation procedure tested the capability of MediBloom, achieving the accuracy of 96.8 %, F1 of 96.4 %, and AUC of 0.97, far better than others. Furthermore, it provided scalability and adaptability. Hence, MediBloom was indeed a giant step toward developing digital healthcare that is amenable to intelligent, accessible solutions and is thus available for everyone with seasonal dynamics.

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