Building accessible AI for neurodivergent communities.

Financial Technology + AI at NJIT. Two-time hackathon winner. Accessibility researcher.

Explore my work
Rishab Mohandoss
0 GPA, Dean's List
0 Hackathon wins
0 Active research collaborations
0 Records in my yield prediction dataset

Who I am

Most AI tools are built for a default user. I build for the people they skip: students with ADHD, anxiety, autism. I study Financial Technology and AI at NJIT, ship production software, and run faculty research on accessibility. The tools aren't there yet. That's why I keep building.

See the projects

Right now

AdaptIQ

An accessible AI web suite for neurodivergent users. Won the Anthropic Claude Builder Club Hackathon. The flagship project.

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Enrollment Yield Research

A machine learning model forecasting enrollment yield from 12,000+ records with Dean Oya Tukel. 72% accuracy so far.

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