ResNet CNN Fine-Tuned on CheXpert for Chest X-ray Classification

This project involved building the resnet cnn fine-tuned on chexpert for chest x-ray classification.

Client:Client 3
ServicesFull-Stack Development
TechnologiesSwift, Python, TensorFlow
ResNet CNN Fine-Tuned on CheXpert for Chest X-ray Classification

Project Requirements

We started with the goal of creating a usable and reliable system.

The Challenge

The main challenge was balancing performance with deployment constraints.

The Approach & Solution

We used a modular design and optimized data flow to solve the problems.

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The Results

Efficiency

25%

up

Improved processing speed.

User Growth

15%

up

Increased engagement.

Cost Reduction

10%

down

Lowered infrastructure cost.

Let’s Build Something That Matters

I’m currently open to research opportunities, internships, and roles focused on medical AI, human modeling, or systems engineering. Let’s connect if you're looking for someone driven to make an impact through real-world AI.

Reach out

My mission is to push boundaries and build meaningful technology — guided by a personal standard of precision, empathy, and innovation that’s reflected in everything I create.

© 2025 Issam Alzouby. Built with ❤️ & caffeine.