Wavesurf offers a AI platform to better diagnose depressive symptoms and connect people with the mental health support they need more efficiently and effectively.

Founder, Designer & Developer

April 2019 – Present

User Interview, Field Studies, Usability Testing, Cultural Probes, Figma, MERN Stack

Tashfeen Ahmed, Rimsha Amin, Zehrish Shahkar, Omar Nasim


According to WHO, one in four people across the world suffer from a mental health disorder. So statistically speaking, every single one of the readers of this page has either known someone with or suffered from a mental health disorder. In fact, the World Economic Forum estimates that almost US$16 trillion is lost every year in productivity and associated costs because of this issue. We have come to accept that regardless of race religion gender or status, mental health matters.

According to a study on college campuses only 10% of students actually know about the mental health support resources on campus. There are resources available but sometimes it’s hard to find them. Even more so, there’s a huge stigma against mental health. Even if people feel isolated, they’re scared to reach out for help. And even if they do make it to therapy, it is usually twice a month for about an hour each visit. That’s two hours in therapy versus the 742 hours outside of therapy, and that’s where life happens.


Wavesurf uses artificial intelligence to effectively diagnose depressive symptoms. The platform also serves as a companion tool to track progress on wellbeing goals. Users can find therapists, psychologists and support groups in their location. The initial research for Wavesurf was conducted at YSI Global program, where I worked with four participants from Namibia, Philippines, New Zealand and United States. Wavesurf was launched and tested in Pakistan.

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