Mohammed
Aflah

Developed production-ready CRM systems including one for a biomedical company (crm.pro26.in) and another for grocery retail (crm.flyrah.org). Features include lead tracking, sales pipelines, and reporting dashboards.

Full-stack retail grocery management system with barcode-based product lookup, inventory management, and sales tracking across web and mobile platforms.

Advanced medical imaging deep learning pipeline combining EfficientNet-B0 for classification and YOLOv8 for tumor segmentation with 97% accuracy.

Real-time hand landmark detection and gesture recognition system using OpenCV and Flask achieving 94% detection accuracy for human-computer interaction.

Built numerous React-based websites spanning e-commerce, events, and other domains. AR Grocery serves as a primary example of these scalable full-stack applications.

A comprehensive finance manager website and mobile application built to accurately track expenses and manage budgets.

An interactive physics and chemistry learning lab. Built with the MERN stack to deliver comprehensive educational experiences as part of the Flyrah ecosystem.

A modern weather forecasting website providing real-time weather updates, forecasts, and interactive meteorological data.