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
AI/ML Engineer | Generative AI | Computer Vision | Model Deployment
Sangla Hill, Pakistan - 4:44 am local time
Over the past few years, I’ve built and deployed a wide range of AI systems, including image classification models, facial recognition attendance systems, WhatsApp chatbots, and crop disease detection tools. My work combines solid machine learning foundations with practical software engineering, so you don’t just get a model—you get a usable solution.
How I can help you
Design, train, and optimize machine learning & deep learning models (classification, detection, prediction)
Build AI-powered web apps and dashboards using Python, Flask, and modern frontend frameworks
Develop computer vision solutions for medical imaging, security, and automation
Create AI chatbots and NLP pipelines powered by LLMs (GPT, etc.)
Integrate AI systems with existing tools, APIs, and databases
Selected work
AI-Powered WhatsApp Business Chatbot for automated customer interaction
Crop Pest & Disease Detection using deep learning and computer vision
Facial Recognition Attendance System for secure, automated check-ins
How I work
Clear communication and regular progress updates
Clean, well-documented code
Focus on reliability, not just “it runs on my machine.”
If you’re looking for an AI developer who can both build intelligent models and turn them into real, user-ready products, I’d be happy to discuss your project.
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.