MindMirror

Inspiration

Social media has made information constant, fast, and overwhelming. While it connects us, it also contributes to mental fatigue, reduced attention span, and cognitive overload; especially among students. I was inspired to build a tool that helps users understand how digital consumption affects their cognition while offering supportive, stigma-free mental health guidance.

What it does

MindMirror is a web-based mental health and cognitive awareness platform that helps users reflect on their attention, memory, and mental well-being.

It includes:

A Reading Comprehension Test that measures Words Per Minute (WPM) and understanding through follow-up questions
A Digit Span Test to assess short-term memory and attention span
A Mental Health Chatbot powered by a fine-tuned AI model for supportive conversations
Curated academic research articles from universities on social media fatigue, attention, and cognitive health

Together, these features help users become more aware of their cognitive state in a non-clinical, accessible way.

How we built it

I built MindMirror using:

Flask for backend development and routing
A fine-tuned mental health chatbot model from Hugging Face
(Kush26/Mental_Health_ChatBot)
WPM (Words per minute) calculating, comprehension scoring, and digit span evaluation
Research-based content sourced from university publications*

Challenges we ran into

Designing cognitive tests that are simple, fair, and meaningful without being clinical
Finding a lightweight quantized mental healt chatbot
Ensuring the chatbot remains supportive and responsible rather than diagnostic
Balancing technical functionality with ethical mental health considerations
Integrating academic research in a way that remains readable and engaging