• Paritosh Nagarnaik
• Rutuja Deshmukh
• Namrata Anjankar
• Isha Bisan
• Tushar Kumbhare

Multiple Disease Prediction using Machine Learning, Deep Learning and Stream lit is a comprehensive project aimed at predicting various diseases including diabetes, heart disease, kidney disease, Parkinson's disease, and breast cancer. This project leverages machine learning algorithms such as TensorFlow with Kera’s, Decision tree and Logistic Regression. The models are deployed using Stream lit Cloud and the Stream lit library, providing a user-friendly interface for disease prediction. The application interface comprises five disease options: heart disease, kidney disease, diabetes, Parkinson's disease, and breast cancer. Upon selecting a particular disease, the user is prompted to input the relevant parameters required for the prediction model. Once the parameters are entered, the application promptly generates the disease prediction result, indicating whether the individual is affected by the disease or not. This project addresses the need for accurate disease prediction using machine learning techniques, allowing for early detection and intervention. Through an intuitive and user-friendly interface, the project envisions a centralized platform that empowers both healthcare providers and individuals to make informed decisions about health risks and preventive measures. The system will enable timely interventions, reducing the overall burden on healthcare systems and improving patient outcomes. By proactively identifying disease risks and promoting preventive measures, this initiative strives to usher in a future where healthcare is not only reactive but also predictive.

Keywords: Machine Learning, Stream lit, TensorFlow, Kera’s, Decision tree, Logistic Regression, Diabetes, Heart Disease, Kidney Disease, Parkinson's Disease, Liver Disease.

"Human Disease prediction Using Machine Learning Techniques and Real Life Parameters", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.f17-f22, April-2024, Available :http://www.jetir.org/papers/JETIR2404503.pdf

"Human Disease prediction Using Machine Learning Techniques and Real Life Parameters", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppf17-f22, April-2024, Available at : http://www.jetir.org/papers/JETIR2404503.pdf