From Idea to Impact

See how Youth X AI students build, refine, and launch real-world impactful AI projects.

AI-Driven Cancer Pathway Analysis (AIMI Score)

This project by Sanvi introduces the AIMI Score, a novel bioinformatics metric that uses machine learning and principal component analysis to quantify dysregulation in cancer-related pathways. By modeling complex biological systems, it explores how targeted interventions could potentially restore healthier cellular states.

Multimodal AI for Tuberculosis Detection

Developed by two YouthXAI students, Anjali and Bhavana, this project uses multimodal AI to improve the detection of tuberculosis by combining multiple data sources. With continued one-on-one mentorship, the project evolved into an award-winning solution recognized at regional, state, and national science competitions.

MediMind: AI-Powered Medication Management App

MediMind is an AI-driven mobile application designed to help users safely manage their medications through smart reminders, personalized insights, and real-time drug information. By combining accessibility with intelligent features like expiration alerts and family tracking, the app empowers individuals to take control of their health and reduce preventable medical errors.

Instant Rebounding Machine (Automated Launch System)

This project involves the design and construction of an automated rebounding machine that launches objects with controlled force and precision. By applying principles of physics and engineering, the system optimizes launch angle, tension, and energy transfer to achieve consistent and efficient performance.