Aryan Khanna

Computer science

Hometown: Delhi, New Delhi, India

Graduation date: Spring 2026

Data icon, disabled. Four grey bars arranged like a vertical bar chart.

FURI | Summer 2024

Utilizing Artificial Intelligence in Early Detection of Mental Health Disorders: Leveraging Machine Learning and Natural Language Processing Techniques

This research study explores the potential of artificial intelligence (AI) to enhance the early detection of mental health disorders. Preliminary findings suggest that AI, utilizing machine learning (ML) and natural language processing (NLP) techniques, can significantly improve the accuracy and timeliness of diagnosis compared to traditional methods, leading to improved patient outcomes. Our work underscores the potential of AI to revolutionize mental health care by enabling personalized care and efficient resource allocation. Future work should focus on expanding data sets and refining algorithms to validate and enhance AI-driven diagnostic tools.

Mentor:

View the poster
QR code for the current page

It’s hip to be square.

Students presenting projects at the Fulton Forge Student Research Expo are encouraged to download this personal QR code and include it within your poster. This allows expo attendees to explore more about your project and about you in the future. 

Right click the image to save it to your computer.