An AI-Powered Architecture fior Multi-Modal Dream Analysis and Preliminary Mental Health Screening

Authors:

Prajyot Ambarwele, Jatin Fulzale, Suyash Khaire, Purvesh Parate

Abstract:

The Context ofi Subconscious Diagnostics

Mental health care fiaces a massive wall right now. Clinics cannot find enough therapists. Millions walk around holding onto heavy emotional baggage. They have nowhere to go. And therapy itselfi? It produces messy, scattered notes. Doctors spend hours just trying to read through them. We clearly need a better way to track this stuff automatically.

Dreams actually give us a wildly accurate look into someone's head. Sleep scientists know that our brains process daily stress while we sleep. Bad day at work? You will probably have a bad dream about it. Tracking these night terrors is a smart way to catch mental dips early on. But here is the problem. Turning a weird dream into actual numbers is hard. The old methods took way too much time.

So we built a web tool to fix this exact bottleneck. It takes a crazy dream and turns it into clean data. It mixes language models, probability math, and some hard-coded safiety rules. This proves you can take strange psychology concepts and actually measure them with code.