AI OUTFIT ASSISTANT

Description

At AI Vacation Outfit Assistant, we believe dressing well should be simple, fun, and tailored to you. Our mission is to empower everyone to look their best—whether for a vacation, a big event, or just another day—by harnessing smart technology to craft personalized outfit ideas that inspire confidence and creativity.. We combine AI precision with a passion for fashion to deliver outfit inspiration that’s as unique as you are. From understanding your environment to offering a virtual preview of your look, we’re here to make style effortless and exciting—no matter where life takes you.

A Full-Stack Web Application implemented with React, TensorFlow.js, OpenWeather API, AR Technology.

• Developed an AI-driven outfit suggestion system that considers destination type, weather conditions, and user preferences. Integrated online wardrobe selection for mix-and-match recommendations.

• Implemented real-time Augmented Reality (AR) outfit visualization using TensorFlow.js, enabling users to overlay outfits on their body via a webcam or uploaded images.

• Built an automated packing list tool that suggests clothing, accessories, and essentials based on itinerary and weather, integrating compact packing strategies.

Demo

Features

• Responsive Design
• Interactive UI/UX
• API Integration (Open Weather API and Amazon Search API)
• Authentication & Authorization through Clerk

Installation

Clone the repository:

git clone https://github.com/your-username/repository-name.git

Navigate to the project directory:

cd repository-name

Install dependencies:

npm install   # For React, Next.js, or other JavaScript frameworks

How to Run the Project

Using npm or yarn

npm start  # Runs the project in development mode
yarn start

For Next.js Projects

npm run dev  # Starts the development server

For Vite Projects

npm run dev  # Runs the Vite development server

Usage

1. Open your browser and navigate to http://localhost:3000/ (or the appropriate port for your framework).
2. Explore the application and interact with its features.

Technologies Used

• JavaScript
• React.js
• Tailwind CSS
• Node.js / Express.js (if applicable)
• MongoDB

Contributing

1. Fork the project
2. Create a new branch (git checkout -b feature-branch)
3. Commit your changes (git commit -m 'Add some feature')
4. Push to the branch (git push origin feature-branch)
5. Create a Pull Request

Contact

For any inquiries, reach out to:

• Sai Charan Suggala - LinkedIn
• Email: [email protected]
• For More Projects & Collaboration -Portfolio