🧠 Anna-Coder: Autonomous Neural Network Code Generator

Anna-Coder is an autonomous AI agent that automatically generates and trains neural network code. This project includes a CNN-based binary classifier designed to classify data across two labels from 16 uploaded files.

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🚀 Features

• Automated neural network code generation
• CNN binary classifier for two categories
• Easy-to-use data loading and preprocessing
• Configurable model parameters and training options
• Evaluation and inference scripts for quick testing

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🗂️ Project Structure

anna_coder/
│
├── data/
│   ├── class_0/        # Files for label 0
│   └── class_1/        # Files for label 1
│
├── src/
│   ├── model.py        # CNN architecture
│   ├── dataset.py      # Data loading and preprocessing
│   ├── train.py        # Training script
│   ├── eval.py         # Evaluation script
│   └── utils.py        # Helper functions
│
├── configs/
│   └── default.yaml    # Model and training configuration
│
├── requirements.txt
└── README.md

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⚙️ Installation

python -m venv .venv
source .venv/bin/activate   # or .venv\Scripts\activate on Windows
pip install -r requirements.txt

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🧩 How to Run

1. Train the Model

python -m src.train --config configs/default.yaml

2. Evaluate the Model

python -m src.eval --weights outputs/best_model.pt --data_dir data

3. Run Inference

python -m src.infer --image path/to/image.jpg

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👥 Collaborators

• Manush Murali
• Sovit Nayak