https://github.com/aalexander47/disease_prediction
https://github.com/aalexander47/disease_prediction
disease-prediction django html-css-javascript machine-learning naive-bayes prediction-model python python3 sklearn-library web web-development
Last synced: 7 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/aalexander47/disease_prediction
- Owner: aalexander47
- License: mit
- Created: 2023-10-04T05:39:52.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-10-04T16:21:21.000Z (about 2 years ago)
- Last Synced: 2025-01-14T07:13:56.532Z (9 months ago)
- Topics: disease-prediction, django, html-css-javascript, machine-learning, naive-bayes, prediction-model, python, python3, sklearn-library, web, web-development
- Language: CSS
- Homepage:
- Size: 16.7 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
### General Disease Prediction based on symptoms provided by patient- powered by Django & Machine Learning
# How To Use This
First make sure PostgreSQL and pgadmin or SQlelectron is install in your system.
You can get from below linkhttps://sqlectron.github.io/
then you have to manually create a DB instance on PostgreSQL named "predico", better use PgAdmin for that.
make a new environment(recommended) and run...- Run pip install -r requirements.txt to install dependencies
- Run python manage.py makemigrations
- Run python manage.py migrate
- Run python manage.py runserver
- Navigate to http://127.0.0.1:8000/ in your browser### Dataset used -
https://www.kaggle.com/neelima98/disease-prediction-using-machine-learning### Some Sceenshots of This Webapp -







