Pioneering the Future of Neurological Healthcare
We're a passionate team from the Computer Science and Engineering Department at Siddartha Institute of Science and Technology, revolutionizing Alzheimer's detection through cutting-edge AI technology.
Our Mission
To democratize early Alzheimer's detection by developing accessible, accurate, and affordable AI-powered diagnostic tools that empower healthcare providers worldwide.
Our Vision
To create a world where Alzheimer's disease is detected so early that interventions can preserve cognitive function and quality of life for millions worldwide.
Born in the Heart of Innovation at SIST
Department of CSE
Computer Science & Engineering department where cutting-edge research meets practical application in healthcare technology.
Siddartha Institute
Premier institute fostering innovation, research excellence, and technological advancement in Southern India.
Research Excellence
Dedicated research center focused on applying AI and machine learning to solve real-world healthcare challenges.
From Classroom to Global Impact
What began as an academic research project in our CSE department has evolved into a comprehensive AI solution with the potential to transform Alzheimer's diagnostics worldwide. Our journey exemplifies how academic research can lead to tangible solutions for global healthcare challenges.
Our Core Values
The principles that guide every decision we make and every line of code we write
Clinical Accuracy
Every model is rigorously validated to ensure medical-grade accuracy and reliability.
Patient-Centered
We prioritize patient outcomes and accessibility in all our developments.
Innovation
Pushing boundaries with novel AI architectures and multimodal approaches.
Global Impact
Building solutions that work across diverse populations and healthcare systems.
Our Journey
From concept to cutting-edge solution
Research Beginnings
Initial research on AI applications in neurological disorders at SIST CSE Department
Prototype Development
First working prototype of CNN-RNN hybrid model for Alzheimer's detection
Validation & Testing
Achieved 99% accuracy in four-stage classification on validation datasets
Platform Launch
Public release of NeuroVision AI with multimodal and RNN assessment tools
Join Our Mission
Whether you're a healthcare professional, researcher, or someone passionate about advancing neurological care, there are many ways to get involved with NeuroVision AI.
Research Inquiries
research@neurovision-ai.org
Academic Affiliation
Dept. of CSE, SIST Puttur
Collaborations
Open to research partnerships