🕌 𝗜𝗻𝘀𝗽𝗶𝗿𝗲𝗱 𝗯𝘆 𝘁𝗵𝗲 𝗤𝘂𝗿𝗮𝗻:

وَكُلُوا مِمَّا رَزَقَكُمُ اللَّهُ حَلَالًا طَيِّبًا ۚ وَاتَّقُوا اللَّهَ الَّذِي أَنتُم بِهِ مُؤْمِنُونَ
"And eat of what Allah has provided for you [which is] lawful and good. And fear Allah, in whom you are believers."

— 𝗤𝘂𝗿𝗮𝗻 𝟱:𝟴𝟴

Halal vs Haram Food Classifier

A deep learning model to classify food images as Halal or Haram using EfficientNet.

Features

• EfficientNetB0-based image classifier
• Dataset with images and labels.csv for halal/haram labeling
• Prediction script for new images

📦 Datasets (Help Improve Accuracy!)

• Image Dataset: Kaggle - Halal/Haram Images https://www.kaggle.com/datasets/hamzamehar/data-set-halal-and-haram

• CSV Labels: Kaggle - Halal/Haram Metadata https://www.kaggle.com/datasets/hamzamehar/halal-vs-haram-csv-data

Installation

pip install -r requirements.txt

Training

python model.py

Prediction

python predict.py path/to/food.jpg

Dataset Format

Images are organized in folders halal/ and haram/, and accompanied by a labels.csv file containing:

• filename
• label
• description
• ingredients

Future Work

• NLP classification using food ingredients or descriptions

• Multilingual support for labeling

  👥 Contributors