You will get bone fracture classifier deep analyzing report
Project details
Developed an advanced Bone Fracture Detection System leveraging state-of-the-art Deep Learning and Computer Vision techniques to automatically detect fractures in X-ray images. This AI-powered solution was designed to assist radiologists in diagnosing bone fractures with improved accuracy, efficiency, and speed, significantly reducing the potential for human error in medical diagnoses.
The model was trained using a large dataset of labeled X-ray images and achieved high performance in detecting both simple and complex fractures, providing fast and reliable results that can be integrated into healthcare workflows.
Technologies & Tools Used:
Deep Learning Frameworks: TensorFlow, Keras, PyTorch
Algorithms: Convolutional Neural Networks (CNNs)
Data Processing: OpenCV, NumPy, Pandas
Dataset: [Specify dataset name if publicly available, e.g., "MIMIC-CXR Database" or "Kaggle Bone Fracture Dataset"]
Model Evaluation Metrics: Accuracy, Precision, Recall, F1 Score
Deployment: Flask API for real-time inference (if applicable)
Cloud Services: (Optional, if you used cloud computing for training or deployment)
The model was trained using a large dataset of labeled X-ray images and achieved high performance in detecting both simple and complex fractures, providing fast and reliable results that can be integrated into healthcare workflows.
Technologies & Tools Used:
Deep Learning Frameworks: TensorFlow, Keras, PyTorch
Algorithms: Convolutional Neural Networks (CNNs)
Data Processing: OpenCV, NumPy, Pandas
Dataset: [Specify dataset name if publicly available, e.g., "MIMIC-CXR Database" or "Kaggle Bone Fracture Dataset"]
Model Evaluation Metrics: Accuracy, Precision, Recall, F1 Score
Deployment: Flask API for real-time inference (if applicable)
Cloud Services: (Optional, if you used cloud computing for training or deployment)
AI Development Type
Deep Learning, Model TuningAI Tools
MATLAB, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$200
|
Standard
$700
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 28 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | |
Model Documentation | |||
Ontology | - | - | |
Source Code | - | - | |
Taxonomy | - | - | - |
Optional add-ons
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Additional Revision
+$50About Ahmad
Nexariza AI | Smart AI Automation, LLMs, and Enterprise Solutions
Lahore, Pakistan - 2:30 pm local time
Founded in 2024, we specialize in building AI models from scratch, integrating them seamlessly into websites, backends, and cloud environments, and ensuring production-grade reliability with transparent pricing and lifetime support.
Our agency is founder-led, combining expertise in AI/ML engineering, full-stack web development, and scalable cloud infrastructures to help clients achieve measurable ROI.
✅ Mission: Empower businesses to scale and automate using custom AI & engineering.
✅ Vision: Be the most trusted global partner for state-of-the-art, production-ready AI solutions.
✅ Core Values: Practical AI, Transparency, Long-term partnerships, ROI-driven results, Advanced technology adoption.
Services We Provide
🔹 Custom AI Model Development
Data strategy, pipelines, and labeling
Neural networks, deep learning & transformers
Model training, evaluation & optimization
MLOps (CI/CD, retraining, safe deployment)
🔹 AI Integration & Productization
Embedding models into sites (Next.js, React, Vue, Astro)
API endpoints (FastAPI, Django, Node.js)
Workflow automation & agentic AI
🔹 LLMs & NLP Services
Fine-tuning & domain adaptation
Retrieval-Augmented Generation (RAG)
Conversational assistants & semantic search
🔹 Web & Full-Stack Engineering
Frontend: Next.js, React, Astro (SEO-friendly, high-conversion UIs)
Backend: Django, FastAPI, Node.js
Microservices, secure authentication & real-time APIs
🔹 DevOps & Cloud
AWS, GCP, Kubernetes, Docker deployments
Autoscaling & cost-optimized inference
Monitoring & CI/CD pipelines
🔹 Consulting & Roadmaps
AI adoption audits & ROI-driven roadmaps
Proof-of-value prototypes
Team augmentation & knowledge transfer
🔹 Lifetime Support & Managed Services
Security patches & retraining
Priority customer support
Long-term project transparency
Why Choose Nexariza AI?
Founder-led execution with deep AI/ML & full-stack expertise.
Custom-built AI models aligned with your exact business goals.
Seamless integrations into websites, workflows & products.
Production-first MLOps ensuring reliability & safe deployments.
Lifetime support — we stay with you beyond delivery.
Transparent dashboards for client trust & project visibility.
Skills & Expertise Tags
Artificial Intelligence (AI)
Machine Learning (ML)
Deep Learning (DL)
Natural Language Processing (NLP)
Large Language Models (LLMs)
Agentic AI
AI Chatbots & Virtual Assistants
Computer Vision
MLOps & Model Deployment
Python (TensorFlow, PyTorch, Scikit-learn)
API Development (FastAPI, Django, Node.js)
Frontend (React, Next.js, Astro, Vue)
Backend (Django, FastAPI, Node.js)
Cloud (AWS, GCP, Kubernetes, Docker)
Workflow Automation
Data Strategy & Engineering
Agency Highlights for Upwork
🏆 Transparent Delivery Model – Real-time dashboards to track project progress, team allocation, and milestones.
🏆 End-to-End Service – From data strategy to AI deployment in production.
🏆 Money-Back Guarantee – Client-first trust model.
🏆 Lifetime Support – Partnership, not just one-off projects.
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.
Client purchases the project and sends requirements.
Client purchases the project and sends requirements, then we do RnD on project.
Documentation
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