SME Empowerment

IniGua - Fashion Recommendation Based on Skin Tone using Image Segmentation

The "IniGua" project is our endeavor to revolutionize the fashion industry with our Android-based application. With social media platforms like Instagram and TikTok shaping the OOTD culture, there's an ever-growing need for tools that can enhance fashion choices. "IniGua" addresses this by offering a platform for users to analyze and enhance their outfit choices tailored to their skin tone, ensuring each user can express their style confidently.

Our application facilitates users to capture their outfits and receive compatibility assessments and clothing recommendations based on their skin tone. It aims to simplify fashion decisions by providing a history of outfit uploads, a product catalog for exploration, and a feature-rich experience leading to informed fashion choices.

The project concept was born out of the burgeoning need for a personalized styling tool in the fast-paced world of fashion. "IniGua" is designed to help users navigate through the plethora of fashion choices with ease, providing a unique styling assistant right at their fingertips.

• Extensive product catalog for fashion exploration
• Photo upload portal for capturing outfits
• History of outfit compatibility assessments

• Login
• Register
• Catalogue
• Detail Product (Clothes & Pants)
• History
• Detail History
• Upload picture

• Camera Feature to capture picture

• Week 1: Data preparation for ML models, UI/UX prototype design, and cloud environment setup.
• Week 2: Development of image segmentation and color classification models, authentication features in Android app, and API development.
• Week 3: Model training and integration, development of product and history list features, and API testing.
• Week 4: Model optimization, development of photo upload and clothing recommendation features, and API deployment.
• Week 5: Completion of integration with production API.

• Mobile Development: Android Studio, Retrofit, GSON, Room, Figma, Jetpack Compose, CameraX, DALL-E.
• Machine Learning: TensorFlow, Pandas, NumPy, Google Colab.
• Cloud Computing: Cloud Run, Cloud Storage, Firestore Database, Node.js, Express, FastAPI, Visual Studio Code, Postman.

Express API Documentation

Python API Documentatioin

• Ensuring the dataset reflects the latest fashion trends for accurate compatibility.
• Gaining insights from experts in UI/UX design and the fashion industry.

Thanks go to these incredible individuals:

Thanks go to these incredible individuals who make up the team:

Muhammad Afdal Abdallah M004BSY0325 Machine Learning	Tio Dwi Ardhana M004BSY0744 Machine Learning	Widya Andika M180BSX1174 Machine Learning
Ahmad Alfani Handoyo C002BSY3033 Cloud Computing	Saul Sayers C002BSY3260 Cloud Computing	Tri Sulton Adila A002BSY3004 Mobile Development

Insights from experts in UI/UX design and the fashion industry would be invaluable to the success of "IniGua".