| import streamlit as st |
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|
| st.set_page_config(page_title="AI-Driven Project Risk Level Classification Tool", page_icon="π§") |
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|
| st.markdown(""" |
| # π§ AI-Driven Project Risk Level Classification Tool |
| |
| π **Project Introduction** |
| This project focuses on classifying the **risk level of industrial-residential projects** using machine learning techniques. |
| By analyzing project details like type, budget, team size, and environmental parameters, the model predicts whether a project falls |
| under a low, medium, or high risk category. |
| |
| π **Project Overview** |
| - Built using **Python** and **Streamlit** |
| - Deployed on **Hugging Face Spaces** |
| - Machine Learning Algorithm: **KNearestNeighbors Classifier** |
| |
| π§ **Objective** |
| To assist stakeholders in proactively identifying project risks to take informed decisions and optimize project success rates. |
| |
| π¨βπ» **Project by** |
| **Srikanth Edigi** |
| """) |
|
|
| if st.button('Next'): |
| st.switch_page("pages/1 Problem Statement.py") |
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|