Funding
Funding not disclosed
Founders
Product
Problem
Students face prejudice and discrimination both online and on campus, creating a hostile environment that can negatively impact their well-being and academic performance. Existing methods for addressing these issues are often reactive, relying on students to report incidents after they occur, and may not capture the full scope of the problem. This can lead to underreporting and a lack of proactive measures to prevent prejudice.
Solution
Hoshia aims to proactively detect and mitigate instances of prejudice targeting students using artificial intelligence. The platform identifies potentially harmful content or behavior in real-time, allowing for early intervention and support. By analyzing various data sources, Hoshia provides insights into the prevalence and nature of prejudice, enabling institutions to develop targeted prevention strategies and foster a more inclusive environment. The system aims to create a safer and more equitable experience for all students by addressing prejudice before it escalates.
Target Audience
The primary target audience is educational institutions, including universities, colleges, and K-12 schools, seeking to create a safer and more inclusive environment for their students.
Features
- AI-powered detection of prejudiced content and behavior
- Real-time monitoring of online and on-campus environments
- Proactive alerts for potential incidents
- Data analytics to identify trends and patterns of prejudice
- Reporting tools for documenting and tracking incidents