Project Overview:
This project was developed as part of the Data Glacier Internship during Week 4 and 5. It involves the deployment of a machine learning model that classifies species of the Iris flower based on the dataset provided. The model is built using Python and Flask and deployed on Heroku, offering a practical demonstration of web app and API deployment.
Features:
Data Source: Iris dataset (iris.csv)
Model: Flower Classification Model
Technologies Used: Flask for API creation and Heroku for deployment.
Deployment:
The model is hosted as a web application on Heroku, providing a user-friendly interface and API access.
Week 4: Initial deployment using Flask. Week 5: Refined deployment process on Heroku, improving stability and performance.
Data Glacier Project
Week 4: Deployment on Flask
Data Selected: Iris dataset, iris.csv
Data Model: Flower Classification Model
Model Deployment: Flask
Week 5: Flask Deployment Using HEroku
Refrences