Introduction

In an era where women's safety is paramount, the Women's Safety Travel App addresses the specific concerns of female travellers. Through a meticulous compilation of crime data, the app provides a robust platform for users to assess the safety of their desired travel destinations comprehensively. Visual representations of crime data empower users to make data-driven decisions, helping them choose safer routes, and neighbourhoods based on historical crime trends. The app not only enhances the overall safety while traveling but also contributes to a deeper awareness of the dynamic safety landscape, fostering a sense of empowerment and confidence in their travel choices.

Features

Crime Statistics:

  • Utilize the vast dataset aggregated from every police force in the UK to provide local reporting on public safety concerns at the street level for different neighbourhoods within a city or region.

  • Provide color-coded safety indicators to easily highlight areas with lower and higher crime rates.

Users can explore visual representations of crime rates, helping them identify patterns and fluctuations in safety levels within specific neighbourhoods.

Incident Mapping:

  • Create an interactive map displaying reported incidents of crime in various locations.

  • Categorize incidents to help users identify the types of crimes occurring in specific areas.

With an interactive map displaying incident reports, users can visualize the safety landscape of a city. Users can identify hotspots and areas with lower crime rates, facilitating a nuanced understanding of safety conditions.

Emergency Contacts and Social Connectivity:

  • Provides quick access to essential emergency contacts, such as local authorities in case of emergencies, allowing users to make prompt calls for assistance.

  • Access contact numbers and email addresses of neighbours, fostering a sense of community and encouraging mutual support.

By integrating Emergency Contacts and Social Connectivity features, the Women's Safety Travel App not only provides immediate assistance in critical situations but also fosters a supportive environment for users.

Immediate Assistance:

  • Integrate an emergency button that, when pressed, immediately contacts local emergency services and shares the user's location.

  • Allow users to set emergency contacts who will be notified in case of an emergency.

ChatBot(SafeGoOut Bot):

This UK-based police bot based on the LLM analyses crime data to assess safety in specific areas, focusing on women's safety. It calculates and visualizes crime rates by type and location, offers tailored safety advice based on prevalent crimes, and provides local emergency contacts, enhancing awareness and precautionary measures.

Future Scope:

Check My Drink

  • Provide insights to women about their drink safety when they go out

  • Allow women to be aware of the possible signs of drink spiking

Route Planning:

  • Implement a route planning feature that suggests the safest paths to travel from one point to another.

  • Consider factors such as well-lit streets, populated areas, and proximity to safe zones.

Community Engagement:

  • Include a community forum where users can share their experiences and safety tips.

  • Implement a reporting system for users to provide real-time updates on safety conditions in specific areas.

These features aim to create a comprehensive safety net, reinforcing the app's commitment to empowering women travellers with not only information but also a robust support system, making their travel experiences safer and more enjoyable.

In conclusion, the Women's Safety Travel App goes beyond traditional travel platforms, prioritizing the safety and well-being of women exploring the world. By merging data-driven insights with community engagement, the app ensures that every journey is not only exciting but, more importantly, safe and empowering.

Challenges:

  • Configuring the Twitter API
  • Preparing data to let the ChatGPT bot to understand the questions
  • Lack of data to implement the classification algorithm for drink safety
  • Tight deadline so we had to determine what was the most important for the submission and what could be left as post buildathon improvements.
  • Use of CSS to bring to life our vision of the app.

Built With

Share this project:

Updates