A machine learning project designed to determine the gender of chicks before hatching using synthetic image and sound data.
This project focuses on predicting the gender of chicks before hatching using AI. It uses:
- 𧬠Simulated ultrasound images
- π€ Audio signals of chick embryo movement
- π§ Convolutional Neural Networks (CNN) & Spectrogram analysis
In poultry farming, early detection of gender helps optimize resource allocation. This project aims to automate this process and reduce costs and inefficiencies.
| Category | Technologies |
|---|---|
| π Language | Python |
| π§ Frameworks | PyTorch, Librosa, OpenCV |
| π Data Format | Simulated Ultrasound + Audio WAV |
| π¦ Tools | Pandas, NumPy, Matplotlib |
| π§ͺ Notebook | Jupyter |
graph TD;
Data[π Synthetic Ultrasound + Audio]
Data --> Preprocess[π§Ή Preprocessing]
Preprocess --> CNN[π§ CNN Model + Spectrogram Classifier]
CNN --> Output[π Chick Gender Prediction]