Found 75 repositories(showing 30)
varun1234-code
No description available
Adityakapure8
This project is a Flask-based web application that predicts the likelihood of three medical conditions: Diabetes, Heart Disease, and Parkinson's Disease. It uses machine learning models to make predictions based on user-provided health parameters.
prakhargupt00
An early warning system on disease outbreak prediction based on climatic factors
aravindbs
A community health management and information system for disease outbreak predictions and warnings. Runner-up at Microsoft codefundo++ 2018 RVCE round.
Chericheri
SDG 3: Good Health and Well-being. This ML model predicts disease outbreaks in Kenya using REAL data from: Kenya Ministry of Health (Malaria cases per county) WHO Health Indicators Kenya demographic and sanitation data
No description available
No description available
luyiyang
Prior scholars have done a couple of researches about the potential of social media in prediction of disease outbreak. In this project we want to build a disease predictive system based on social media (Twitter). Our prediction system will send an alert to users when it’s likely to be a outbreak of flu. Before getting the results of the flu, a user must select a location. (See User Manual for more detailed instructions).
amanbhardwaj1216-cmd
AI-powered full-stack disease outbreak prediction system with Flutter frontend, FastAPI backend, Supabase database, and ML engine
rahul-76885
AI-powered disease outbreak risk prediction system using FastAPI, Random Forest ML model, and a modern interactive dashboard with Chart.js. Includes state/district lookup, water-quality input, risk scoring, predicted disease output, and visual analytics.
sourabh9799
With big data growth in biomedical and healthcare communities, accurate analysis of medical data benefits early disease detection, patient care and community services. However, the analysis accuracy is reduced when the quality of medical data is incomplete. Moreover, different regions exhibit unique characteristics of certain regional diseases, which may weaken the prediction of disease outbreaks. In this System, we streamline Deep learning algorithms for effective prediction of diseases.
anugrahajeejo
Epidemic Prediction System is a data-driven model that forecasts outbreaks of diseases like dengue and malaria within a local area. By analyzing historical health records and environmental factors, the system identifies patterns and predicts potential epidemic risks, enabling early warnings and better public health preparedness.
Rashinisuresh
Smart ML-based system predicting water-borne disease risk in rural areas. Uses water quality, weather, and health data to classify villages as High, Medium, or Low risk. Flask dashboard allows instant predictions, helping authorities take preventive action and reduce outbreaks effectively.
TanvirJoardar
The COVID-19 has spread rapidly around the world and the current condition is becoming worse day by day. People are infected by this virus at different times of the year. Since it is a global disease, it affects the death rate strongly. Therefore, it needs to be controlled for not spreading rapidly also it is necessary to keep track of that time when this virus spread more, and the number of patients being affected to reduce the damage of this outbreak. But it is difficult to analyse and predict the growth of this disease at different times of the year because with this dataset our current system provides the computerized data in a collective way. So, we need a ML algorithm to map the disease and its progression to overcome this problem. ML are two categories: one is supervised and unsupervised machine learning. Supervised machine learning includes some models like regression model, classification model, times series forecasting model etc. where unsupervised machine learning includes clustering models. In our project we used linear regression and time series forecasting model where for different time, lab-tests, death case etc. as input we perform regression and classification to analyse data for a particular time and predict the number of confirmed cases in future days from this disease. Using this model, we can get early predictions of the status of coronavirus at different times of the year. And get an estimate of how many people are infected with the virus at that time.
ciinnamiin
Disease Outbreak Prediction System
L-Gayathri
No description available
saurabhatoliya
No description available
anandmisra
No description available
No description available
Pranita2798
No description available
GouravDas03
This is the github repo of my Disease outbreak prediction project consisting of Diabetes, Heart Disease and Parkinsons disease model.
ap-invincible
No description available
KartikPalsetty
No description available
L-Gayathri
No description available
hrutuja483
No description available
As a part of a EduNet foundation Co op with shell internship by AICTE
ikrishna04
No description available
Dhruvin-Virani
The project is a smart system designed to predict the likelihood of developing diabetes, heart disease, and Parkinson's. Using advanced machine learning techniques, it analyzes various health indicators and patterns to provide early warnings, helping users take preventive measures and manage their health better.
ArunChangra34
No description available
utkarshjoshilkar
AI-based crop disease outbreak prediction and detection system using weather data and computer vision.