DocMorph AI is a full-stack web application designed to eliminate manual data entry. It ingests locked, scanned PDFs, runs advanced Optical Character Recognition (OCR), and reconstructs the data into clean, editable Microsoft Word documents. The Challenge: Standard OCR scripts frequently fail or crash the server when attempting to process large, multi-page PDFs due to massive RAM consumption. The client needed a lightweight, scalable solution that wouldn't time out during heavy workloads. The Solution: I architected a decoupled monorepo system. The frontend was built with React for a seamless, drag-and-drop user experience. For the backend, I engineered a custom Node.js/Express.js server utilizing Tesseract.js. To ensure stability, I developed a custom text-chunking algorithm that slices the PDF into manageable data streams, processes them safely, and stitches the final layout together into a downloadable .docx file.

0

9

Designed and built an automated lead management engine that eliminates manual lead qualification and speeds up client outreach. Key Features & Implementation: Form & Webhook Processing: Captures incoming client submissions (budget, timeline, project scope) in real time. AI Evaluation & Scoring: Integrates Google Gemini via n8n to analyze project requirements, calculate lead priority scores, and run automated duplicate checks. Multi-Channel Actions: Sends customized follow-up proposals to clients, pushes real-time priority alerts to Slack channels, and updates lead tracking sheets dynamically.

0

22

I built this n8n workflow that implements a Retrieval-Augmented Generation (RAG) AI Agent designed to answer queries grounded in private company documents without hallucinating. Trigger: Initiated when a user chat message is received. AI Agent Core: Coordinates the response using an LLM backbone. Google Gemini Chat Model & Simple Memory: Powers conversational logic and tracks dialogue context across the session. Qdrant Vector Store & Embeddings (Gemini): Retrieves relevant context from indexed internal documents.

0

57

I built an n8n automated lead routing workflow that instantly qualifies, enriches, and routes high-intent inbound leads within seconds. HTML Webhook Form: Captures form submissions containing lead details like name, work email, job title, and company name. SerpApi Enrichment: Pulls real-time web data and background information on the target company. AI Model Evaluation: Uses an AI model to analyze the data, score the lead's intent, and generate customized talking points. HubSpot CRM Integration: Automatically creates or updates the contact record inside HubSpot. Slack Alert: Broadcasts a formatted rich-text notification to Slack with the AI lead score and strategic angles for the sales team.

0

60

Syeda Fiza Gilani

AI Solutions Architect & Automation Engineer