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You will get Automatic detection of coronavirus disease (COVID-19) using X-ray images

Rizwan M.Status: Offline
Rizwan M. Rizwan M.
4.2
Preview image

Let a pro handle the details

Buy Other AI & Machine Learning services from Rizwan, priced and ready to go.
Rizwan M.Status: Offline
Rizwan M. Rizwan M.
4.2
Preview image

Let a pro handle the details

Buy Other AI & Machine Learning services from Rizwan, priced and ready to go.

Project details

This project focuses on developing a deep learning-based solution for automatic detection of COVID-19 from X-ray images. Utilizing five advanced deep learning models, the system will ensure high accuracy and fast diagnosis, aiding in the early detection of the virus.
Project Summary:
What sets this project apart is the implementation of five cutting-edge deep learning models, providing enhanced accuracy and reliability. With my expertise in AI and deep learning, I’ll deliver a robust solution that’s tailored for efficient COVID-19 detection and easy integration into your workflow
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning
AI Tools
Amazon SageMaker, Apache MXNet, Azure Machine Learning, Keras, MATLAB, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, PyTorch, TensorFlow
AI Development Language
Python
What's included
Service Tiers Starter
$50
Standard
$100
Advanced
$200
Delivery Time 3 days 7 days 4 days
Number of Revisions
235
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
+$20 - $100
Additional Revision
+$5
4.2
6 reviews
83% Complete
(5)
1% Complete
(0)
1% Complete
(0)
1% Complete
(0)
17% Complete
(1)

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Musfira T.
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Use of Satellite Data challenge using Python He was really collaborative and produced good quality work

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john h.
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30 minute consultation Work completed as expected. Thanks.
Rizwan M.Status: Offline

About Rizwan

Rizwan M.Status: Offline
Full Stack AI Engineer | LLM | RAG | AI Agents | AWS Bedrock | Python
4.2  (6 reviews)
Lahore, Pakistan - 11:49 pm local time
🚀 AI Engineer | LLM | RAG | AI Agents | AWS Bedrock | Python

Hi, I'm Rizwan, a Full Stack AI Engineer with 4+ years of experience building AI-powered applications, intelligent agents, and scalable backend systems.

I help startups and businesses build production-ready AI solutions using LLMs, RAG pipelines, AI agents, and modern Python frameworks.

✅ What I can help you build:

• AI Chatbots & Conversational AI
• RAG Applications & Knowledge Bases
• AI Agents & Multi-Agent Systems
• AWS Bedrock & OpenAI Integrations
• LLM Applications using LangChain and LlamaIndex
• FastAPI & Django Backend Development
• AI-Powered SaaS Applications
• Vector Database & Semantic Search Solutions

🔹 AI & LLM Expertise

* LLMs: GPT-4, Claude, Gemini, Llama
* RAG Pipelines
* LangChain, LlamaIndex, LangGraph
* CrewAI and AI Agents
* Prompt Engineering
* Vector Databases (Pinecone, Chroma, Weaviate)
* AWS Bedrock
* OpenAI APIs

🔹 Backend & Full Stack Development

* Python
* Django & Django REST Framework
* FastAPI
* PostgreSQL & Redis
* Celery
* WebSockets
* Docker
* REST APIs

🔹 Recent Project Experience

✔ AI procurement chatbot for hospitality businesses
✔ Knowledge base and RAG applications
✔ Multi-agent AI workflow systems
✔ Customer support AI assistants
✔ AI-powered reporting and automation systems
✔ Real-time AI integrations for web applications

I focus on building reliable, scalable, and production-ready AI applications that solve real business problems.

If you're looking for an AI Engineer who can handle both the AI layer and the backend infrastructure, I'd be happy to discuss your project.

Let's build something intelligent together.

Steps for completing your project

After purchasing the project, send requirements so Rizwan can start the project.

Delivery time starts when Rizwan receives requirements from you.

Rizwan works on your project following the steps below.

Revisions may occur after the delivery date.

Initial Consultation

Discuss project details, clarify requirements, and confirm dataset submission.

Data Preprocessing

Clean, label, and prepare the provided X-ray dataset for model training.

Review the work, release payment, and leave feedback to Rizwan.