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Smart Image Classifier: An Offline Mobile Solution

Problem Statement 🧐

In a world awash with images, the ability to recognize and understand the content within them is a challenge for many. While online solutions like Google Lens exist, they are often limited by the requirement for an internet connection 🌐. This leaves a gap for an intelligent offline image classification tool.

Solution 💡

Introducing the Smart Image Classifier 📱, a mobile application designed to empower users with the ability to effortlessly classify images without the need for an internet connection. This innovative solution harnesses the combined strength of TensorFlow Lite 🧠 and Android (Kotlin) 🤖, providing a user-friendly interface for image classification.

With the Smart Image Classifier, you can identify and categorize objects, scenes, and much more 🌟. Whether you're a curious explorer 🔍, a student conducting research 📚, or simply someone looking to understand their surroundings better, this tool allows you to do so with ease, anytime and anywhere 🌍.

Say goodbye to the limitations of online-only solutions and embrace the power of offline image classification at your fingertips 📲. The Smart Image Classifier - your window to a smarter, more connected world 🌠.

✨ Features

• Offline Image Classification 📴: No internet connection required, ensuring reliability even in remote areas.

• Object Recognition 🕵️‍♂️: Identifies and classifies various objects within images, aiding in tasks like inventory management 📦.

• Scene Analysis 🌆: Recognizes and categorizes different scenes, from landscapes 🏞️ to bustling city streets 🏙️.

• User-Friendly Interface 📲: Intuitive and user-friendly, accessible to a wide range of users.

• Cross-Platform Compatibility 📱: Designed for Android (Kotlin) for use on a variety of Android devices.

• TensorFlow Lite Integration 🧠: Efficient image classification with TensorFlow Lite.

• Real-time Classification 📷: Instant results by pointing the camera at an object or scene.

• Customizable Categories 🎨: Define and customize categories for classification.

• Educational Tool 📚: Valuable for students to learn about image recognition and AI.

• No Subscription Required 💰: One-time purchase or free to use, no recurring fees.

• Privacy-Focused 🔒: User data is private, and no online connectivity is required.

• Continuous Updates 🔄: Regular updates to improve image recognition capabilities.

• Offline Database 📂: Extensive offline image database for swift classification.

• Share and Save Results 💾: Easily save and share classification results with others.

• Accessible Anytime, Anywhere 🌍: Classify images in any location or situation.

Prerequisites

1. Android Studio

Installation

git clone git@github.com:kanugurajesh/Image-Classification.git
cd Image-Classification
Open the project in android studio
Build the project
Run the app

Screenshots

App Icon

App Inside

Demo

Tech Stack

• Kotlin
• XML
• Android Studio
• Tensorflow
• Tensorflow-lite

🔗 Links

Contributing

I want to add more features and Contributions are always welcome!

See contributing.md for ways to get started.

Please adhere to this project's code of conduct.

Authors

• @kanugurajesh

Support

For support, you can buy me a coffee