rafay ahmad hussain
AI Automation Engineer | Gen AI, Agentic AI, CV & n8n
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Multi-Modal WhatsApp AI Agent Workflow in n8n (Audio, Image, Text)
This is a multi-modal AI agent workflow using n8n and OpenAI for WhatsApp automation:
1.Triggered on incoming WhatsApp audio, image, or text
2.Transcribes audio and analyzes content for intent
3. Processes and interprets image-based prompts
4. Routes inputs to an AI Agent (OpenAI) with memory support
5. Responds in text or generated audio, depending on user preference
6. Tech Stack: n8n, OpenAI, Whisper, Code node, WhatsApp API
Automates real-time, intelligent user interactions across media types.
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Custom ElevenLabs Voice Agent + RAG Automation System (n8n + OpenAI)
I built a clinical-grade AI Voice Assistant using ElevenLabs, n8n, and a Hybrid RAG pipeline to automate key medical workflows such as appointment booking, patient record retrieval, and clinical FAQ support. It offers natural real-time voice conversations, automated Google Calendar scheduling, Gmail confirmations, Redis-powered memory, and seamless backend automation to deliver fast, accurate 24/7 patient assistance while improving efficiency, experience, and reducing manual workload.
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Automated Exams Checker (using Yolo v11 + OCR )
I built an automated grading assistant that detects per-question marks from scanned mark sheets, calculates the total score, and exports results to a spreadsheet. Using YOLOv11 for region detection and OCR for reading numbers, the system works on low-quality scans and camera images.
Features:
1.Detects score boxes (Q1–Qn + Total area)
2. Extracts marks via OCR
3. Auto-calculates total marks
4. Validates totals / flags missing values
5. Batch processing support
6. Exports/updates results to Excel/Google Sheets
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AI-Powered Document Redaction System (OCR + OpenCV)
I built an AI-based privacy protection system using Python, OpenCV, and PaddleOCR to automatically detect and mask sensitive data such as Student IDs and Names.
Main Features:
1. It locates predefined regions in exam sheets, extracts text using OCR
2. It securely redacts private information with a red overlay. The system works even on low-quality images, making it ideal for universities, HR, and legal teams.
3. Automatic ID & name detection OCR-based text recognition Coordinate-based region tracking Redaction with privacy masking Works on scanned & camera images Batch-ready processing
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Automated Prescription Recognition using Computer Vision and OCR
1. Built an AI system to read and interpret medical prescriptions using computer vision and OCR.
2. Enabled users to upload prescription images via a chat based workflow.
3. Applied image preprocessing to improve handwritten and low quality prescriptions.
4. Extracted medicine names, dosage, frequency, and duration into structured data.
5. Integrated conversational AI for guided confirmation and error reduction.
6. Designed for real world pharmacy, telemedicine, and healthcare automation use cases.
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Intelligent Food Recommendation RAG for Food Ordering Platform.
This is an AI chatbot using LangChain with RAG for a food ordering platform:
1. Recommends food based on calorie, budget, and taste preferences
2.Uses RAG (Retrieval-Augmented Generation) for personalized suggestions
3. Pulls data from multiple restaurants in real-time
4. Understands natural language inputs (e.g., “spicy under $10”)
Tech Stack: LangChain, OpenAI, ChromaDB, Python, FastAPI
Delivers faster decisions, better UX, and smarter food discovery.
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Advanced Real Estate RAG Chatbot with LangGraph for Property & Legal Queries
This is a powerful RAG chatbot using LangGraph for real estate users to:
1.Query detailed house listings stored in a database
2. Get accurate answers on property legalizations and regulations
3. Receive personalized property recommendations based on preferences
4. Leverage LangGraph’s agentic AI for context-aware, multi-turn conversations
5. Tech Stack: LangGraph, OpenAI, Python, Vector DB
Enhances property search efficiency and supports informed decision-making.
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