Image Detector

• Tech Stack: Python, TensorFlow, Keras
• Github URL: Project Link

The Objective of this project is to develop a simple, user-friendly system that uses Convolutional Neural Networks (CNNs) to identify and classify images of food into specific cuisines, such as Italian, Japanese, or Mexican.

Approach:

• Utilize CNNs: Apply CNNs, known for their accuracy in image recognition, to analyze and classify food images.
• Build a Diverse Dataset: Collect a wide range of food images representing different cuisines for model training and testing.
• Implement with Popular Tools: Use well-known programming tools and libraries like TensorFlow and OpenCV for building and refining the model.