Mind Lens

Inspiration

Psychologists spend a significant amount of time on documentation and clinical management tasks. Mind Lens was created to reduce this overhead by applying machine learning to automate transcription and generate structured clinical insights securely.

What it does

Mind Lens is an AI-powered platform for psychologists that provides automatic session transcription, data-driven insights, and intelligent clinical support. The system helps optimize workflow efficiency while maintaining confidentiality and clinical integrity.

How we built it

The platform was built using machine learning models for speech-to-text transcription and analytical pipelines for insight generation. A secure backend architecture ensures data privacy, controlled access, and scalable processing.

Challenges we ran into

Key challenges included ensuring transcription accuracy, preserving data privacy, and designing AI outputs that are clinically supportive without making diagnostic decisions.

Accomplishments that we're proud of

We developed a working prototype capable of securely transcribing sessions and extracting relevant insights aligned with clinical workflows.

What we learned

We learned how to balance AI automation with ethical constraints, security requirements, and real-world clinical usability.

What's next for Mind Lens

Future work includes improving model accuracy, expanding insight personalization, and strengthening compliance with healthcare data regulations.

Built With

• .net
• api
• c#
• machine-learning
• nextjs
• postgresql
• python
• rabbitmq
• whisper