Chicken Disease Classification (Deep Learning + DVC)
Deep learning project that detects coccidiosis in poultry from fecal images using a CNN — built as a versioned DVC pipeline with TensorFlow, served through a Flask upload-and-predict web UI, with AWS/Azure deployment workflows.
What you get
- Source Code
- Trained Model
- Dataset
- Documentation
- PPT
This project is pre-built — delivered within 24 hours of confirmation.
How it works.
Common questions about ordering, delivery, and support.
More from Data Science Projects.
View all
Kidney Disease Classification (MLflow + DVC)
Classifies kidney CT scan images (normal vs tumor) with a CNN — full MLOps setup using MLflow experiment tracking and DVC pipeline versioning, Flask prediction app, and cloud deployment workflow.
Text Summarization with MLOps & Deployment
An end-to-end NLP project that fine-tunes a HuggingFace transformer to summarize dialogues — complete with configurable training pipeline, FastAPI serving, Docker, and CI/CD deployment via GitHub Actions.
Distracted Driver Detection (ResNet50)
Classifies 10 distracted-driving behaviors from dashboard camera images using a ResNet50 built from scratch in Keras — custom convolutional and identity blocks trained on the State Farm Kaggle dataset with LOGO cross-validation.
ds-004
Chicken Disease Classification (Deep Learning + DVC)