Overview
Report.ai tackles the widespread issue of underreporting and ineffective handling of hate crimes on college campuses. Using an advanced AI model, it streamlines the reporting process to generate clear, reliable, and effective email reports. Originally developed by four junior students at Lehigh University during the Hack for Justice hackathon, Report.ai aims to transform how hate crimes are reported and addressed in academic settings.
Problem
- Underreporting: A significant number of hate crimes go unreported, with studies suggesting that approximately 50% of violent and non-violent hate crimes are not reported to police
- Limited awareness: Students and faculty often lack knowledge about what constitutes a hate crime and how to report it, further contributing to underreporting
- Inadequate response: When hate crimes are reported, the response from institutions is sometimes insufficient or inconsistent, discouraging future reporting
Solution
- Providing an AI-powered platform that makes reporting hate crimes more accessible and less intimidating for students and faculty.
- Streamlining the reporting process, ensuring that all necessary information is collected efficiently and accurately.
- Increasing awareness about hate crimes through educational components integrated into the platform.
- Facilitating a more consistent and effective response to reported incidents by providing institutions with comprehensive, well-organized, documented data.
Mission
Our mission is to create safer and more inclusive educational environments by:
- Simplifying the process of reporting hate crimes
- Increasing awareness about the prevalence and impact of hate crimes
- Providing data-driven insights to help institutions combat hate and discrimination
Key Features
AI-Assisted Reporting
- Intuitive interface for users to describe incidents
- AI-powered analysis to categorize and prioritize reports
- Automated generation of structured reports for easier processing by authorities
Data Visualization
- Interactive charts and graphs showcasing hate crime statistics
- Trend analysis to identify patterns and areas of concern
- Customizable dashboards for institutions to monitor and respond to incidents
Educational Resources
- Curated library of articles and resources on hate crimes
- AI-generated summaries of latest research and news
- Links to support services and legal resources for victims
Anonymous Reporting
- Option for users to submit reports anonymously
- Secure data handling to protect user privacy
Technology Stack
- Frontend: React.js
- Backend: Firestore
- API Integration: Gemini AI and Gmail
- Data Visualization: Chart.js
- Database: Firebase
Demo
Check out our web application here.
Team
- Matt Aronson (maa326@lehigh.edu): Backend Integration
- Daniel Novick (dbn226@lehigh.edu): AI Specialist
- Josh Berdon (job426@lehigh.edu): Database Manager
- Evan Smith (ersa26@lehigh.edu): UI/UX Specialist
Future Directions
We are committed to continually improving report.ai. Future enhancements may include:
- Mobile app development
- Integration with campus security systems
- Expanded AI capabilities for trend prediction and prevention strategies
Contact
For more information or to report issues, please contact us at report.ai.site@gmail.com.
References
https://bjs.ojp.gov/topics/crime/hate-crime
https://lasd.org/transparency/hatecrime/
https://www.theiacp.org/resources/responding-to-hate-crimes-a-police-officers-guide-to-investigation-and-prevention
https://edtrust.org/blog/hate-crimes-on-college-campuses/
https://edtrust.org/wp-content/uploads/2024/09/Hate-Crimes-Blog-V2.pdf
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