Designed and developed Well Lift, an Android fitness app for tracking calories, workouts, and weight. It features a guided onboarding flow, a daily nutrition dashboard with macro charts, an exercise library with calorie-burn calculation, a calendar for workout planning, and progress statistics, all wrapped in a clean, user-friendly interface.
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FAWAN OS Neural 1: Enterprise Autonomous Swarm Architecture
I engineered an enterprise-grade, multi-agent AI infrastructure designed to completely automate mission-critical workflows, eliminate data silos, and guarantee 100% uptime with self-healing capabilities.
● Built a desktop hospital management application covering patient registration, scheduling, billing, and records.
● Built a full stack social app with authentication, profiles, posts, stories, and realtime messaging/notifications.
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VisiHealth AI – Explainable Medical VQA
VisiHealth AI is a multimodal, explainable Medical Visual Question Answering system designed to analyze complex clinical radiology scans. Utilizing PyTorch, ResNet-50, and BioLinkBERT, the platform fuses text and spatial image patches through a real multi-token cross-attention mechanism to provide accurate clinical insights. It builds diagnostic trust through explainable AI by overlaying attention-map heatmaps on original scans and deriving human-readable rationales from a 4,444-triplet medical knowledge graph. Delivered via a scalable Next.js and Flask architecture, it demonstrates my capability in deep learning and healthcare AI integrations
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PolyMath Lab is an interactive AI-powered science and mathematics visualization platform that lets users explore concepts across Physics, Mathematics, Computer Science, Quantum Mechanics, and Machine Learning through interactive visual simulations and educational experiences.
An affiliate partner system created with 8 product sales pages tracking back conversions to the partner portal where the partners can earn their commission from promoting the products
