tbhvishal/Image-Classification-By-Machine-Learning-Using-Python-AICTE-Internship-Project
This project is a Streamlit application designed to perform image classification using two powerful machine learning models: MobileNetV2 and a custom CIFAR-10 model. The application allows users to upload images and receive predictions along with confidence scores.
This tool helps anyone needing to quickly identify objects in images. You upload a JPG or PNG picture, and it tells you what it sees, like a dog, car, or airplane, along with how confident it is in that identification. It's designed for educators, students, or anyone who wants to see how AI classifies images.
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Use this if you need to classify common objects in images for educational purposes or quick verification, and you want to compare different AI model performances.
Not ideal if you need to classify very specific, niche, or custom objects that aren't part of common categories like animals, vehicles, or everyday items.
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Aug 24, 2025
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