SheForAI - Women Safety App

The app also features a "Future Advancement Map," which highlights areas with safety scores based on different factors. The future version of this app will include a search bar and other features to further improve user experience.

Project Overview

This app leverages geospatial data and heatmaps to visualize the safety situation in different areas. It uses the femaleunsafe.json file to zoom in on specific areas and calculate a safety score, providing a clear picture of the safety levels in various regions. The app is built with a simple user interface (UI) for ease of use and is intended to provide real-time help for women.

Current Features:

• Future Advancement Map: Displays specific areas with safety scores based on the femaleunsafe.json file.

  • Columns in femaleunsafe.json:
    • state: Name of the state
    • area: Name of the area
    • latitude: Latitude of the location
    • longitude: Longitude of the location
    • safety_score: Safety score for the area

• Basic UI: Simple user interface to locate safe havens, police stations, and other safety resources nearby.

• Heatmap Visualization: Uses the heatmap.py script to generate a heatmap that visualizes the safety score data for specific regions.

• Map Interface: An interactive map (map.html) displaying the locations with safety scores and details about safe havens.

Future Enhancements:

• Search Bar: To search for nearby safe havens, police stations, and other resources.
• Improved Features: More features to help users find real-time safety information in their area.

Project Structure

• femaleunsafe.json: A JSON file containing location-based safety data. This file is used for the future advancement map.
• heatmap.py: A Python script used to generate a heatmap based on the safety score data from femaleunsafe.json.
• map.html: The HTML file containing the map that users can interact with to view the safety scores and location data.
• SheForAI: Main directory containing all the resources and scripts for the app.

Installation

To run the app locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/Shrinjita/SheForAI
   cd SheForAI

2. Install the required dependencies:

   pip install -r requirements.txt

3. Run the heatmap.py script to generate the heatmap:

   python heatmap.py

4. Open the generated map.html file in your browser to view the map and interact with the data.

Technologies Used

• Python: For data processing and heatmap generation.
• Folium: For creating interactive maps.
• GeoPandas: For working with geospatial data.
• JSON: For storing the location-based safety data.

Contribution

Shrinjita Paul Ancy B John Harshita Das Monami Sen