Gentleman Closet: AI-Powered Smart Wardrobe Assistant

Developed 'Gentleman Closet,' a modern and intelligent personal wardrobe management mobile application built with Flutter. It helps users organize clothes, plan outfits, and receive AI-based suggestions tailored to style, weather, and occasion, featuring an offline-first design and planned LLM integration.

Overview

'Gentleman Closet' is a sophisticated and intelligent mobile application designed to serve as a personal wardrobe assistant. Built with Flutter, it offers users a seamless way to organize their clothing, plan outfits, and receive personalized, AI-driven suggestions. With a minimalist and elegant UI, the app caters to fashion enthusiasts, minimalists, and anyone looking to optimize their wardrobe management. This project is available on GitHub.

Key Features

• Smart Wardrobe Organization: Users can effectively organize and filter their clothing items by various attributes such as material, color, season, category, and custom tags, providing a highly structured overview of their closet.
• Add Clothes with AI (WIP): Plans to incorporate AI models to automatically suggest categories, materials, patterns, and colors upon uploading a garment photo, streamlining the onboarding process.
• Outfit Creator (WIP): An intuitive drag & drop interface for assembling outfits. Users can save and schedule these curated looks for future events or daily wear.
• Weather-Based Suggestions (WIP): A feature to provide daily outfit suggestions dynamically tailored to local weather conditions and the user's mood, ensuring practical and comfortable styling.
• Offline-First Design: All user data is stored locally using Hive, a lightweight and fast database, ensuring the app is fully functional even without an internet connection and eliminating the need for a persistent backend.
• LLM Integration (WIP): Future plans include integrating large language models (e.g., Google Gemini API) to power advanced AI suggestions for outfit planning, styling advice, and fashion insights.

Technical Stack

The 'Gentleman Closet' application is built on a modern and efficient tech stack:

Framework: Flutter (Dart) for cross-platform mobile development, enabling a single codebase for iOS and Android.
Local Storage: Hive serves as the lightweight and fast local database, ensuring robust offline capabilities.
State Management: Provider is used for efficient and scalable state management across the application.
AI Integration (WIP): Google Gemini API is planned for integrating Large Language Model (LLM) capabilities for advanced AI-driven outfit suggestions and styling advice.
Design (WIP): The application features a clean, responsive, and pastel-based modern UI, focusing on user experience and aesthetic appeal.

Skills Used

Flutter (Dart), Mobile Application Development, UI/UX Design, State Management (Provider), Local Database Management (Hive), AI Integration (Google Gemini API), Offline-First Development, Product Design, Project Management.

Outcomes & Future Vision

• Personalized Wardrobe Management: Provides users with a smart and stylish solution for organizing their closet and managing outfits effectively.
• AI-Powered Styling: Aims to deliver intelligent, personalized outfit suggestions leveraging advanced AI and LLM technologies.
• Enhanced User Experience: Designed with a minimalist and elegant UI, focusing on intuitive navigation and a seamless user experience.
• Robust Offline Functionality: Ensures reliability and accessibility by storing all data locally, making the app usable even without an internet connection.
• Showcase of Modern Mobile Development: Demonstrates proficiency in Flutter, cutting-edge AI integration, and robust mobile architecture for a practical and engaging consumer application.