• Kavuru Sravya
• Dr Padmaja M
• Shashank jadhav
• Tejopavanvarma
• Sashank sanehi

In the present time we see a ton of lack of specialists on the planet particularly in India. Individuals are enduring a ton without the assistance of legitimate clinical examination. On occasion it is additionally prompting passing. To defeat this large number of issues, we executed this Application. Online Health Web Application for Disease Detection incorporates different Machine Learning Algorithms which takes datasets of different infections like heart malignant growth, intestinal sickness, and diabetic retinopathy and so on, for preparing the model. Client can pick his/her infection type in view of the side effects he/she is having. It will take the boundaries required, for example, blood classification, pee test, blood test, circulatory strain, pulse for heart disease, retina pictures for diabetic retinopathy and platelet pictures for intestinal sickness recognition and go through the model and anticipate the outcome. It isn't just needed with the illness forecast yet additionally relieving the illness on time is significant. This Application additionally proposes the best specialists who are expert to that illness and anticipate the period to spread of that illness so the patient can visit the specialist inside time. This venture is a start to finish AI project that can anticipate the possibilities getting an illness in organs like heart, retina, liver and so forth. Moreover, GUI makes the framework more intelligent and facilitates its utilization to foresee the aftereffects of illnesses.

Machine learning, disease detection, Random forest classification, Data analysis

"ONLINE HEALTH WEB APPLICATION FOR DISEASE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.g49-g55, April-2022, Available :http://www.jetir.org/papers/JETIR2204608.pdf

"ONLINE HEALTH WEB APPLICATION FOR DISEASE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppg49-g55, April-2022, Available at : http://www.jetir.org/papers/JETIR2204608.pdf