

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.
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

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.


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.


Cell Segmentation using YOLOv8
End-to-end computer vision project that segments cells in microscopy images using Ultralytics YOLOv8 — modular training pipeline with data ingestion and validation stages, plus a Flask app for running inference on uploaded images.
ds-005
Kidney Disease Classification (MLflow + DVC)
