About NeuralScan.AI
An AI-powered brain tumor classification system built with state-of-the-art deep learning — achieving 95.75% test accuracy. Trained to detect Glioma, Meningioma, Pituitary Tumors, and identify Healthy Scans from brain MRI images.
Why It Matters
Brain tumors are among the most devastating diagnoses. Early and accurate detection from MRI scans can significantly improve patient outcomes and treatment planning.
EfficientNet-V2-S Advantage
With ~21M parameters and Fused-MBConv blocks, EfficientNet-V2-S trains faster than its predecessor while achieving superior ImageNet accuracy. Our fine-tuned model reaches 97% validation accuracy.
Advanced Training Techniques
Trained with Mixup augmentation (α=0.4), AdamW optimizer with layer-wise learning rates, CosineAnnealingWarmRestarts scheduler, and label smoothing (0.1) — achieving 95.75% on the test set.
End-to-End Pipeline
From image preprocessing (224×224 resize + ImageNet-1K normalization) through inference to Softmax probability output — a complete, production-ready classification system.
Key Metrics at a Glance
Everything you need to know about the model powering NeuralScan.AI
Technical Arsenal
Technologies I use to build robust solutions
Featured Projects
A selection of recent work in Web Dev, App Dev, and AI
Brain Tumor Detection (This Project)
Deep learning MRI classifier using fine-tuned EfficientNet-V2-S (~21M params, 95.75% test accuracy) with Next.js frontend and PyTorch backend.
Cardiovascular Disease Predictor
Advanced ML-powered application for early cardiac health assessment using XGBoost and modern UI.
Hospital Management System
Modern ASP.NET MVC application with secure patient-doctor workflows and Azure cloud deployment.
ML & Deep Learning Collection
Comprehensive collection of ML and Deep Learning models, notebooks, and experiments.
Expense Manager
Full-stack application to track and analyze personal finances with detailed charts and reports.
Matrimony Flutter App
Mobile application for matchmaking built with Flutter, featuring user profiles and realtime connections.