3D Interactive Choropleth
2D Interactive Choropleth
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ReGex Chat System

SAFE-NY

Inspiration

SAFE-NY was inspired by the growing need for accessible safety solutions for New York residents and especially women. We wanted to create a tool that empowers users with real-time crime insights and provides a reliable emergency communication feature to enhance personal security and community awareness.

What It Does

SAFE-NY is a comprehensive safety application designed to keep users informed and secure. Key features include:

Crime Insights: Interactive choropleth and 3D maps as well as detailed data on precinct/district safety trends.
Panic Button: Instantly captures audio, video, and location data, generating AI-powered transcripts for emergency response before sending the information to law enforcement.
Regex Chat System: Provides specific, intelligent responses to safety-related queries with 100% accuracy and minimal words required.

By combining powerful data insights with real-time emergency tools, SAFE-NY helps users navigate their environment confidently.

How We Built It

We developed SAFE-NY using:

Frontend: Utilized Mapbox and leaflet.js for 2D and 3D choropleth maps.
Backend: Used email.message and smtplib to send an email of video, transcript, and location. Implemented Flask to connect the backend and frontend seamlessly.
Data Collection: Used QGIS software to split a crime data CSV file into multiple files and joined with a New York City GeoJSON shapefile to create a JSON file that contains all the crimes along with the precincts they occurred at.
Emergency Capture: Integration with device sensors through cv2, pyaudio, moviepy, and wave to get instant video and audio recording for real-time multimedia capture. Harnessed ipstack to acquire latitude, longitude, city, and zip code.
AI Transcription: Leveraged the Google Web Speech NLP model to transcribe the video to text for quick response.

Our team collaborated to ensure a user-friendly design, accurate data processing, and secure communication features.

Challenges We Ran Into

During development, we encountered several challenges:

Data Preprocessing: Preprocessing the CSV data file to integrate it by precinct, crime, and year.
Data Integration: Implementing the chat system to accurately and robustly reflect data from the dataset.
Emergency Capture: Developing a rapid system for capturing and securely transmitting multimedia data during emergencies.
Interactive Maps: Creating intuitive and responsive data visualizations for a better user experience.

Accomplishments That We're Proud Of:

Successfully building an application that provides meaningful crime insights and empowers user safety.
Developing a functional and reliable panic button feature for rapid emergency response.
Designing an intuitive user interface that simplifies access to complex data.

What We Learned

Through this project, we gained valuable experience in:

Effective data visualization and geospatial mapping techniques.
Building secure and reliable real-time emergency capture systems.
The importance of user feedback and usability in safety-critical applications.

What's Next for SAFE-NY

Moving forward, we plan to:

Expand Data Sources: Incorporate additional datasets for broader crime insights in other cities.
Enhanced AI Features: Improve transcript generation and add predictive crime pattern analysis.
Authority Collaboration: Collaborate with authorities around the country to expand the service and ensure the safety of citizens.
Community Engagement: Develop features for community reporting and awareness.
User Feedback: Continuously refine the platform based on user input to ensure it meets safety needs effectively.