You will get AI-Powered Bone Fracture Detection System
Rising Talent
Project details
An AI-driven healthcare solution that detects and classifies bone fractures from X-ray images with 96% accuracy. This system assists radiologists by providing instant detection, localization, and severity assessment, reducing diagnostic time and improving accuracy.
Key Features:
Deep CNN trained on 15,000+ labeled X-ray images
Multi-fracture classification (hairline, compound, stress)
Integrated Grad-CAM heatmap for explainability
Web-based interface for medical staff
Tech Stack: Python, TensorFlow, Keras, OpenCV, Flask, NumPy
Deliverables:
Trained model file (.h5 / .pt)
Web dashboard for uploading X-rays
Prediction visualization + accuracy report
Deployment-ready Flask app
Results: 96% accuracy; diagnostic time reduced by 70%
Key Features:
Deep CNN trained on 15,000+ labeled X-ray images
Multi-fracture classification (hairline, compound, stress)
Integrated Grad-CAM heatmap for explainability
Web-based interface for medical staff
Tech Stack: Python, TensorFlow, Keras, OpenCV, Flask, NumPy
Deliverables:
Trained model file (.h5 / .pt)
Web dashboard for uploading X-rays
Prediction visualization + accuracy report
Deployment-ready Flask app
Results: 96% accuracy; diagnostic time reduced by 70%
AI Development Type
Deep Learning, Model TuningAI Tools
Keras, MLflow, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$690
|
Standard
$1,290
|
Advanced
$1,790
|
|---|---|---|---|
| Delivery Time | 7 days | 15 days | 28 days |
Number of Revisions | 1 | 3 | 5 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | |
Model Documentation | |||
Ontology | - | ||
Source Code | - | ||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$300 - $1,000About Ahmad
Computer Vision Engineer | YOLOv8 | Face Recognition | Medical AI
Lahore, Pakistan - 5:38 pm local time
I build the ones that don't.
60+ deployed systems. 0 abandoned projects.
Production-ready AI — not demo notebooks.
What I deliver:
→ RAG systems that actually retrieve accurate answers
→ Computer Vision pipelines running on real hardware
→ AI Agents that complete real business workflows
→ Full-stack AI SaaS from zero to deployed
Recent results:
→ Bone fracture detection — 94% accuracy (clinical deployment)
→ Real-time face recognition + Wiegand access control (live production)
→ Crop disease classifier — 20 categories, AgTech production system
→ AI Data Warehouse with natural language querying (Next.js + PostgreSQL)
I'm Ahmad — founder of Nexariza AI, a 7-person AI engineering team
serving clients in US, UAE, and UK.
Not sure where to start?
Book my $49 consultation call — I'll tell you exactly what to build
and what it will cost. No fluff, no sales pitch.
Steps for completing your project
After purchasing the project, send requirements so Ahmad can start the project.
Delivery time starts when Ahmad receives requirements from you.
Ahmad works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis & Dataset Review
Analyze provided images and define classification goals (binary or multi-class fracture detection).
Data Preprocessing & Augmentation
Clean, augment, and prepare the dataset for deep learning model training.