Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
.dvc		.dvc
.github/workflows		.github/workflows
config		config
research		research
src/cnnClassifier		src/cnnClassifier
templates		templates
.dvcignore		.dvcignore
.gitignore		.gitignore
Dockerfile		Dockerfile
README.md		README.md
app.py		app.py
dvc.lock		dvc.lock
dvc.yaml		dvc.yaml
inputImage.jpg		inputImage.jpg
main.py		main.py
params.yaml		params.yaml
requirements.txt		requirements.txt
scores.json		scores.json
setup.py		setup.py
template.py		template.py

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Chicken Disease Classification

Intorduction & Github Repository Setup
Project Template creation
Project Setup & Requirements Installation
Logging, Utils & Exception Module
Project Workflows
All Components Notebook Experiment
All Components Module Code Implementation
Training Pipeline
DVC (MLOps Tool) - For Pipeline Tracking & Implementation
Prediction Pipeline & User Application
Docker
Final CI/CD Deployment on AWS and Azure

Workflow

Update config.yaml
Update secrets.yaml [optional]
Update params.yaml
Update the entity
Update the configuration manager in src config
Update the components
update the pipeline
update the main.py
update the dvc.yaml

About

🐔 Chicken Disease Classifier: A web app to classify chicken diseases from fecal images using VGG16 🖼️. Built an end-to-end pipeline with data preprocessing, model fine-tuning (92% accuracy) 📊, and deployed on AWS EC2/ECR for real-time image upload & classification ⚡.

aws-ec2 aws-ecr classification computer-vision deep-learning flask-application python torch vgg16

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