feat: implement streamlit app with visualizations and geospatial volunteer mapping

Summary

Implemented a multi-page Streamlit application featuring interactive forms, data visualizations, and geospatial volunteer mapping.

Changes Made

Basic Streamlit App

• Added user input form using Streamlit
• Implemented:
  • Name input field
  • Age dropdown using selectbox
• Added submit functionality with dynamic response display

Visualization Module

• Added Plotly Sunburst Chart visualization
• Created hierarchical sample dataset:
  • Country
  • State
  • Village
  • Volunteer count
• Integrated interactive chart rendering in Streamlit

Geospatial Volunteer Mapping

• Added volunteer CSV dataset integration
• Implemented state-based filtering
• Displayed volunteer locations on interactive map
• Added marker popups containing:
  • Name
  • Phone Number
  • Email
  • Village
• Dynamically centered map based on selected state

Project Structure

• Created multi-page Streamlit architecture
• Added:
  • app.py
  • pages/
  • requirements.txt
  • volunteers.csv

Tech Stack

• Python
• Streamlit
• Pandas
• Plotly
• Folium
• Streamlit-Folium
• Geopy

Testing

• Verified Streamlit application runs successfully
• Tested chart rendering and map interactions
• Validated state filtering and popup functionality

Run Locally

streamlit run app.py

closes #2