Wrinklum Revealus 🎯

Basic Details

Team Name: Chai☕

Team Members

Team Lead: Vimal John M V - Government Engineering College Kozhikode, West Hill
Member 2: Athulya V T - Government Engineering College Kozhikode, West Hill

Project Description

Welcome to the future of textile based angst! Wrinklum Revealus is a multi-modal Al application that serves one purpose: to give you a definitive, highly-scientific opinion on just how bad your wrinkles are.

The Problem (that doesn't exist)

The world is suffering from a global crisis of wrinkled clothes. People can't trust their own eyes, their friends are unreliable sources of truth, and a garment's true state is often lost in a sea of subjective opinion. This causes daily fashion emergencies and awkward social interactions. Our project aims to solve this by providing a brutally honest AI that can look at your clothes and tell you, with unflinching objectivity, if they are wrinkled enough to need an iron. It's the truth-teller your wardrobe desperately needs.

The Solution (that nobody asked for)

The All-Knowing Wardrobe Critic We've developed a single, all-seeing AI that serves as your personal, brutally honest outfit judge. Forget asking your friends, your family, or the mirror for a second opinion—our solution is a digital critic with no feelings and an unyielding commitment to the truth.The AI judges your outfit by performing it's key functions. The Merciless Critique: Once the image is summoned, the AI will deliver its final verdict. It's a detailed text analysis that will dissect every wrinkle, every fold, and every unfortunate crease with unflinching honesty. This is not a suggestion; it's a definitive, AI-powered judgment on your sartorial choices.In a world full of lies and false compliments, our solution provides the one thing you can truly count on: an objective, critical, and slightly sarcastic opinion on the state of your wardrobe.

Technical Details

Technologies/Components Used

For Software:

Python
Tensorflow, NumPy, OS, PIL, cv2
Google Colab, Hugging Face

Implementation

For Software:This application is designed to be hosted on Hugging Face Spaces, which handles the build and deployment process automatically. The "commands" you'd typically run locally are executed by the Hugging Face platform itself.

Installation

The following files and their content are what Hugging Face uses to install and run the application.

Installation Hugging Face automatically installs the required Python packages by reading the requirements.txt file. File: requirements.txt Location: In the root directory of your repository. Content: tensorflow gradio Pillow huggingface_hub

Run

Hugging Face will automatically find and execute the app.py script, which launches the Gradio web server. File: app.py Location: In the root directory of your repository. Run Command: Hugging Face's environment implicitly runs a command similar to this to start the application: python app.py