You will get Medical Image Analysis AI for X-Ray, MRI & CT Scans
Project details
You will get a fully customized AI-powered X-Ray Fracture Detection System built using the most suitable computer vision architecture for your case — whether DETR, YOLOv8, or Faster-R-CNN. The model will automatically analyze medical X-ray images and highlight potential bone fractures with high accuracy.
I specialize in deep learning, image processing, and medical AI, delivering end-to-end solutions from dataset preparation to model deployment. Each project is tailored to the client’s data, ensuring robust accuracy, detailed visualization (bounding boxes or heatmaps), and complete documentation for reproducibility.
With extensive experience in PyTorch, TensorFlow, OpenCV, and NVIDIA platforms, I provide scalable and production-ready models that can be integrated into healthcare systems, research environments, or diagnostic apps. Whether you’re a medical startup, hospital, or academic researcher, you’ll receive a reliable AI model built to your exact requirements — clean, documented, and ready to use.
I specialize in deep learning, image processing, and medical AI, delivering end-to-end solutions from dataset preparation to model deployment. Each project is tailored to the client’s data, ensuring robust accuracy, detailed visualization (bounding boxes or heatmaps), and complete documentation for reproducibility.
With extensive experience in PyTorch, TensorFlow, OpenCV, and NVIDIA platforms, I provide scalable and production-ready models that can be integrated into healthcare systems, research environments, or diagnostic apps. Whether you’re a medical startup, hospital, or academic researcher, you’ll receive a reliable AI model built to your exact requirements — clean, documented, and ready to use.
Machine Learning Tools
Keras, NumPy, NVIDIA AI Platform, OpenCV, pandas, Python, PyTorch, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$200
|
Standard
$400
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 1 | 2 | 4 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 4 | 8 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $1,300
Additional Revision
+$100Frequently asked questions
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MM
Majid M.
Mar 10, 2026
RAG Developer Needed for AI Agents & Workflow Automation
Delivered an excellent RAG and AI automation solution, highly skilled, responsive, and professional throughout the project.
About Farhan
AI Engineer | LangChain, LangGraph, RAG, n8n, GoHighLevel, Voice AI
Burewala, Pakistan - 6:09 am local time
I am 𝐅𝐚𝐫𝐡𝐚𝐧 𝐀𝐥𝐢, a 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with 𝟐+ 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 building production-ready 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, and 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 that integrate directly into your product, your data, and your operations - delivering measurable results, not just prototypes.
𝐖𝐡𝐚𝐭 𝐈 𝐛𝐮𝐢𝐥𝐝 𝐦𝐨𝐬𝐭 𝐨𝐟𝐭𝐞𝐧:
🤖 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬
Custom AI agents using LangChain, LangGraph, CrewAI, and OpenAI function calling. Multi-agent systems, tool-calling agents, autonomous workflow automation, and agentic pipelines that reason,
plan, and execute complex multi-step tasks without human intervention.
🔍 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭𝐬
Retrieval Augmented Generation pipelines using LangChain, FAISS, ChromaDB, Pinecone, and Qdrant. Document Q&A systems, knowledge base assistants, PDF intelligence, enterprise search, and context-aware AI that answers questions from your own data with high accuracy.
🗣️ 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬
End-to-end voice AI applications using ElevenLabs, OpenAI Realtime API, Whisper, TTS, and STT. AI voice assistants for customer support, appointment booking, and real-time conversational AI
over phone and web.
🔗 𝐌𝐂𝐏 & 𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬
Model Context Protocol server development, OpenAI API, Claude API, and Gemini API integrations. Connecting AI directly into your CRMs, databases, REST APIs, Slack, WhatsApp, and business tools.
⚙️ 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧
End-to-end business automation using n8n, Zapier, and Make. Multi-step workflows, trigger-based automations, conditional logic, and AI-enhanced pipelines that run your business operations
automatically without human intervention.
🏢 𝐆𝐨𝐇𝐢𝐠𝐡𝐋𝐞𝐯𝐞𝐥 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐂𝐑𝐌 𝐒𝐞𝐭𝐮𝐩
Full GoHighLevel setup, pipeline automation, lead nurturing sequences, appointment booking flows, SMS and email automation, sub-account management, and custom workflow builds for agencies and local businesses.
📬 𝐂𝐑𝐌 & 𝐋𝐞𝐚𝐝 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧
Automated lead capture, CRM data syncing, follow-up sequences, and sales pipeline automation. Connecting your forms, ads, and landing pages directly into your CRM with zero manual work.
🖥️ 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐀𝐈 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
Complete AI-powered web apps with Python, FastAPI, and Flask on the backend and React and Next.js on the frontend. Streamlit dashboards, REST API development, Docker deployment, and cloud hosting on 𝐀𝐖𝐒 𝐚𝐧𝐝 𝐆𝐂𝐏.
𝐓𝐞𝐜𝐡 𝐬𝐭𝐚𝐜𝐤 𝐈 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡:
Python | LangChain | LangGraph | LlamaIndex | CrewAI | LangSmith | OpenAI API | Claude API | Gemini API | MCP Servers | RAG | Vector Databases | ChromaDB | FAISS | Pinecone | Qdrant |
ElevenLabs | Whisper | Voice AI | FastAPI | Flask | Django | React | Next.js | Streamlit | Docker | AWS | GCP | n8n | Zapier | Make | GoHighLevel | Airtable | HubSpot | Salesforce | Notion |
Slack | WhatsApp | Gmail | Google Sheets | Google Workspace | Typeform | Calendly | Stripe | Twilio | Webhooks | REST APIs | PostgreSQL | MongoDB | Redis | JavaScript | Prompt Engineering | AI Agents | Generative AI | LLM Fine-tuning | NLP | CRM Automation | Lead Generation | Email Automation | SMS Automation | AI Chatbot | Chatbot Development | Business Automation | Workflow Automation | AI Integration
Whether you are building an autonomous AI agent, a RAG-powered knowledge assistant, a voice AI system, a GoHighLevel automation, or connecting your entire business stack together - I can take it from concept to production.
𝐅𝐞𝐞𝐥 𝐟𝐫𝐞𝐞 𝐭𝐨 𝐫𝐞𝐚𝐜𝐡 𝐨𝐮𝐭 𝐚𝐧𝐝 𝐝𝐞𝐬𝐜𝐫𝐢𝐛𝐞 𝐰𝐡𝐚𝐭 𝐲𝐨𝐮 𝐰𝐚𝐧𝐭 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐨𝐫 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞.
Steps for completing your project
After purchasing the project, send requirements so Farhan can start the project.
Delivery time starts when Farhan receives requirements from you.
Farhan works on your project following the steps below.
Revisions may occur after the delivery date.
Data Preparation & Preprocessing
I’ll collect or review your dataset, clean and normalize the X-ray images, perform augmentation (rotation, scaling, flipping), and ensure all data is ready for model training.
Model Selection & Configuration
Based on your project requirements, I’ll select the most suitable model (DETR, YOLOv8, Faster R-CNN, or custom CNN) and configure the architecture.