
Transform how healthcare professionals analyze patient symptoms with Doctor-AI, an intelligent diagnostic support platform that combines cutting-edge artificial intelligence with comprehensive medical knowledge. Powered by BioBERT and PubMedBERT embeddings, our system delivers lightning-fast symptom analysis with exceptional accuracy, mapping complex patient presentations to potential conditions in under 2 seconds. Unlike traditional diagnostic tools, Doctor-AI leverages advanced vector similarity search through Qdrant database, enabling semantic understanding of symptom relationships that goes beyond simple keyword matching. Our multi-tier review system automatically routes cases based on confidence levels, ensuring appropriate care escalation while detecting rare diseases and life-threatening red flags that might otherwise be missed. Built for real-world healthcare settings, Doctor-AI features complete HIPAA compliance with comprehensive audit trails, explainable AI reasoning for full transparency, and integration-ready architecture supporting HL7 FHIR standards. The intuitive dashboard provides real-time analytics, performance monitoring, and interactive visualizations that help healthcare teams make data-driven decisions faster. Whether you're a primary care physician seeking diagnostic support, a specialist reviewing complex cases, or a healthcare administrator optimizing clinical workflows, Doctor-AI empowers better patient outcomes through intelligent, evidence-based recommendations. Experience the future of clinical decision support where human expertise meets artificial intelligence, delivering confidence, clarity, and care when it matters most. **Key Differentiators:** - Sub-2-second analysis with 85%+ confidence scoring - 15,247+ phenotype terms for rare disease detection - Automated triage across 4 confidence-based review tiers - Production-ready with cloud deployment support
19 Nov 2025

FlowWage AI: Zero-Cost Wage Advances Powered by AI and Blockchain FlowWage eliminates predatory payday lending by providing instant, zero-cost wage advances through AI-powered emergency detection and blockchain technology. The Problem: 40% of Americans can't afford a $400 emergency, forcing millions into predatory payday loans charging 400%+ APR. Traditional early wage access solutions still charge fees or require credit checks, creating barriers for those who need help most. Our Solution: FlowWage combines artificial intelligence with Arc blockchain and USDC to provide truly zero-cost wage advances. Employees access their earned wages instantly during emergencies—no fees, no interest, no credit checks. How It Works: Real-Time Salary Streaming: Employees track earnings as they work, with multi-source validation (time tracking, GPS, calendar) AI Emergency Detection: Six machine learning models (85-92% accuracy) detect medical, vehicle, housing, and family emergencies Instant Auto-Approval: Advances approved in <2 seconds based on AI confidence scoring Blockchain Settlement: USDC transfers on Arc blockchain with ~$0.002 gas fees, settling in 30 seconds Automatic Repayment: Deducted seamlessly from future salary streams Key Innovations: Predictive AI: Detects emergencies 24-48 hours in advance to prevent crises x402 Protocol: Autonomous AI agents can request and approve payments programmatically Community Safety Nets: P2P lending pools with 10x borrowing multiplier and AI-powered group approval Fraud Prevention: Real-time ML fraud detection Technology Stack: Arc Blockchain with USDC as native gas Circle Developer-Controlled Wallets Rust (Axum + Tokio) backend 6 ML models for detection, prediction, and fraud prevention Impact: Serving 73 million Americans living paycheck to paycheck, FlowWage replaces the $90 billion predatory lending industry with ethical, AI-powered financial assistance. Year 1 target: 50K employees, $10-30M revenue potential.
8 Nov 2025

My project is a next-generation autonomous AI ecosystem, built on Coral Protocol’s multi-agent infrastructure. The goal is to create a unified platform where specialized AI agents—such as AutoGPT for autonomous research, SuperAGI for execution, CrewAI for collaboration, ChatDev for software development, AutoPR for code reviews, and others—work together as a coordinated team rather than isolated tools. The system uses Coral Server to orchestrate agents, Redis & Postgres for state management, and n8n / Flowise for workflow automation and AI pipeline building. I’ve also integrated technologies like Crossmint to handle commerce and digital assets. Each agent runs in its own Docker container, connected through Coral’s registry and config system, making the architecture modular and extensible. What this means in practice is that instead of relying on a single AI tool, businesses can deploy a full suite of AI teammates that specialize in different areas, from research and planning, to execution and scaling. And since the platform is extensible, new agents can be added at any time by simply registering them in the system. Ultimately, the vision is to build a fully autonomous business empire builder—a system that can research opportunities, generate strategies, develop software, execute workflows, handle digital transactions, and grow itself with minimal human input.
21 Sep 2025