Symptom2Care: A Big Data-Driven NLP Platform for Preventive Healthcare

In developing countries, people cannot access doctors because of distance and poverty in millions of people. The web application, Symptom2care can solve this. It operates through the internet and offline. Google Gemini API is able to extract the symptoms of a plain conversation when the result is connected, otherwise Local keyword matching occurs. The users will be able to type in their symptoms and receive yoga poses, safe OTC medications, and lifestyle recommendations. In that instance, there are 12 emergency rules that are able to detect life-threatening situations, and in that case, there is a clear recommendation to the users to seek professional medical assistance. It contains <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{1 5}$</tex> yoga asanas, <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{8 0}$</tex> pairs of symptom conditions, 20 medications, all of them are proved through medical literature. It maintains sessions with the assistance of Firebase even in the event of connectivity problems. The tests scored 89.2 online, 76.5 offline. The response time of this is less than one second. In conclusion: it is a simple preventive advice that is aware when to recede and utter seek professional help. Index Terms- natural language processing, big data, preventive healthcare, yoga therapy, digital health, over-thecounter medicine, Lifestyle changing suggestions, offline-online architect.