Preg-Ma project

Contents EDITED HERE AGAIN DITED HERE

• Road Map
• Dataset links
  • Running the Project
  • Recommended IDE Setup
• Project Setup
  • Web app tech stack
  • Model tech stack
  • Running the project
• Development
  • Branches
• Deploying

Road map

1. Finding a dataset
2. Creating web app
3. Create and train model
4. Integration of model and web app
5. Debugging and testing
6. Preparation for presentation

Dataset links

• Kaggle dataset
• (https://archive.ics.uci.edu/ml/datasets.php)
• https://archive.ics.uci.edu/ml/datasets/Diabetes Timeseries dataset
• https://archive.ics.uci.edu/ml/datasets/Breast+Cancer

Project Setup

Web app tech stack

• Streamlit - frontend & backend
• Detaspace - database
• sklearn - ML model development
• pandas - data cleaning
• plotly - visualisation

Enter the detailed info about project setup here.

Running the Project

Clone the repository from github.

git clone https://github.com/Santhusha-bit/Unity_intellihack3.git

Development

1. Go to webapp/streamlit directory and run this command

$ cd webapp/streamlit
$ streamlit run Home.py

Deploying

not yet developed. earlier stage of the web app has been deployed in the streamlit share cloud.