Madhav-Somanath / Predico

Smart disease prediction system made using traditional machine learning algorithms and to create an user interface using streamlit. 🚀

Predico: The smart health predictor

Overview

To create a smart disease prediction system made using traditional machine learning algorithms and to create an user interface using streamlit.

Technical aspect

1. Created and evaluated a model using descision tree, random forrest and gradient boost.
2. Building and hosting a streamlit based web app on heroku (coming soon)

Directory tree

├── dataset
│   ├── test_data.csv
│   └── training_data.csv
├── saved_models
│   └── random_f.joblib
├── app.py
├── main.py
├── config.yaml
├── LICENSE
└── README.md

To do

1. Create the heroku hosting files
2. Add dark mode to streamlit UI using overflow
3. Creating UI to read into given diagnosis

Technologies used

• Python 3.8
• Streamlit (streamlit.io)

Read a brief report of the following project here

Contributions are welcome please consider making a pull request!