| import streamlit as st |
|
|
| st.set_page_config(page_title="Multi-Page App Home", page_icon="π ", layout="centered") |
|
|
| st.title("Welcome to Oasis! π ") |
| left_co, cent_co, last_co = st.columns(3) |
| with cent_co: |
| st.image( |
| "https://raw.githubusercontent.com/pradelf/oasis/refs/heads/main/docs/images/oasis_logo.png", |
| width=200, |
| ) |
| st.write( |
| """ |
| Oasis is a project designed to predict real estate prices, focusing on the impact of climatic events. Our goal is to identify safe and profitable locations by analyzing how various weather and climate patterns influence property values. |
| |
| **How this works:** |
| 1. **Data Collection:** We gather data on real estate prices and climatic events. |
| 2. **Data Analysis:** We analyze the data to understand the risks and set thresholds. |
| 3. **Model Training:** We train machine learning models to predict real estate prices based on climatic conditions and climatic conditions. |
| 4. **Location Assessment:** We assess locations for safety and profitability based on our predictions. |
| """ |
| ) |
| st.image( |
| "https://raw.githubusercontent.com/pradelf/oasis/refs/heads/main/docs/images/architecture-data-pipeline.png", |
| caption="Oasis Architecture - Data Pipeline", |
| width=800, |
| ) |
| st.subheader("Get Started") |
| st.write( |
| "π Use the sidebar to navigate through the different pages of the app. Each page provides insights into various aspects of real estate prices and climatic events. You can explore historical data, predictions, and risk scores related to climatic events such as fires, floods, and weather conditions." |
| ) |
| st.write(""" |
| If you have any questions or need assistance, feel free to reach out to us through the |
| [GitHub repository](https://github.com/pradelf/oasis). |
| """) |
|
|