Usman — Web Development freelancer in Lahore

## The Problem This Solves Medical practices and healthcare SaaS companies lose thousands of hours each year to manual document triage. Staff spend their days reading, sorting, and filing incoming faxes, scanned forms, and email attachments by hand. It is slow, error-prone, and completely unscalable as patient volume grows. TOOLii was built to replace that entire workflow with an intelligent, automated pipeline that requires zero manual input once configured. --- ## Core Platform Features **Intelligent document ingestion pipeline** Accepts incoming emails, faxes, and scanned uploads simultaneously through a unified ingestion layer. Every document entering the system, regardless of source or format, is captured and queued for processing automatically. Tech: Laravel, Python, Queue Management, Multi-source Ingestion **OCR-powered classification engine** Reads and interprets each document using OCR and AI classification, identifying document type, associated patient, and priority level without human review. The engine handles varied layouts, handwriting, and mixed-format documents consistently. Tech: OCR, Python, AI Classification, Laravel **Auto-routing logic** Once classified, each document is delivered to the correct patient file or physician inbox automatically with zero manual input. Routing rules are fully configurable based on document type, department, and priority flags. Tech: Laravel Events, Queue Workers, Routing Logic, MySQL **Admin dashboard with real-time monitoring** Practice administrators access a live dashboard showing queue status, processing throughput, routing decisions, error flags, and full audit logs for every document handled by the system. Tech: Laravel, Real-time Queue Monitoring, Audit Logging **REST API layer for EHR integration** A clean, documented REST API that connects TOOLii to existing EHR and practice management systems, allowing the document pipeline to slot into the practice's current workflow without replacing any existing tooling. Tech: REST API, Laravel Sanctum, EHR Integration --- ## What Made This Technically Complex - Building a multi-source ingestion layer that accepts emails, faxes, and scanned uploads through different protocols and normalises them into a single processing pipeline - Training and tuning the OCR classification model to handle the variability of real medical documents including poor scan quality, handwritten notes, and non-standard form layouts - Engineering the routing logic to be configurable per practice without code changes, so different clinics can set their own rules for document types, inbox destinations, and priority thresholds - Maintaining a tamper-proof audit trail for every document processed to meet healthcare compliance and data handling requirements - Designing the system architecture to handle high document volumes during peak hours without queue bottlenecks or processing delays --- ## Tech Stack PHP 8 \u002F Laravel, Python, OCR, AI Classification, Laravel Queues, Laravel Events, REST API, Laravel Sanctum, MySQL, Redis, Docker, AWS, Git --- ## Who This Is Relevant For - Healthcare SaaS founders building or scaling a medical records or document management platform - Medical practices and hospital groups looking to eliminate manual document triage from their admin workflow - Health-tech agencies that need a proven Laravel and AI integration developer with healthcare domain experience - EHR and practice management vendors looking to add an intelligent document processing layer to their existing product --- If you are building a healthcare automation system, a medical SaaS product, or need AI and OCR integrated into an existing clinical workflow, this project is a direct example of what I deliver. Send me your brief and I will respond with a plan and timeline before any commitment is made.