Blausm

• 

  yolo

Inspiration Inspired by Divyanka's mother's experience teaching children with special needs, we recognized how crucial it is for neurodivergent individuals to find welcoming, sensory-friendly spaces. Her firsthand experience showed us that finding these accommodating environments shouldn't be another challenge for families to overcome. What it does Blausm is an AI-powered assistant that helps neurodivergent individuals find verified sensory-friendly places in their area. Users can ask natural questions like "quiet cafes in Boston" and get curated, verified suggestions with detailed accessibility information. How we built it Built using Node.js, Supabase for database, and OpenAI's GPT-4, Blausm combines: Natural language query processing Verified resource database AI-powered suggestion generation Strict data verification protocols Challenges we ran into Ensuring all suggested places actually exist and are currently operating Building a system that understands various ways people express accessibility needs Maintaining accuracy while implementing fuzzy search for locations Accomplishments that we're proud of Created a system that prioritizes verified, real-world information Built a warm, supportive interaction model that truly understands user needs Developed a self-improving database that grows with each query What we learned The critical importance of data verification in accessibility tools How to balance AI automation with human-like, empathetic responses Techniques for building inclusive, accessible user interactions What's next for Blausm Community-driven verification system Mobile app development User reviews and personalized recommendations Integration with mapping services Expansion to more locations and resource types

Built With

• javascript
• node.js
• openai
• supabase