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๐Ÿ” Chicken Disease Classifier: A web app to classify chicken diseases from fecal images using VGG16 ๐Ÿ–ผ๏ธ. Built an end-to-end pipeline with data preprocessing, model fine-tuning (92% accuracy) ๐Ÿ“Š, and deployed on AWS EC2/ECR for real-time image upload & classification โšก.

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Rahul-404/End-to-End-Chicken-Disease-Classification

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Chicken Disease Classification

  1. Intorduction & Github Repository Setup
  2. Project Template creation
  3. Project Setup & Requirements Installation
  4. Logging, Utils & Exception Module
  5. Project Workflows
  6. All Components Notebook Experiment
  7. All Components Module Code Implementation
  8. Training Pipeline
  9. DVC (MLOps Tool) - For Pipeline Tracking & Implementation
  10. Prediction Pipeline & User Application
  11. Docker
  12. Final CI/CD Deployment on AWS and Azure

Workflow

  1. Update config.yaml
  2. Update secrets.yaml [optional]
  3. Update params.yaml
  4. Update the entity
  5. Update the configuration manager in src config
  6. Update the components
  7. update the pipeline
  8. update the main.py
  9. update the dvc.yaml

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๐Ÿ” Chicken Disease Classifier: A web app to classify chicken diseases from fecal images using VGG16 ๐Ÿ–ผ๏ธ. Built an end-to-end pipeline with data preprocessing, model fine-tuning (92% accuracy) ๐Ÿ“Š, and deployed on AWS EC2/ECR for real-time image upload & classification โšก.

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