AI-Powered Fashion Consultant System

In the fashion world, personalized recommendations are playing a vital role in helping the consumer choose and to improve the user experience. But, existing recommendation systems tend to suffer from the bias in their training data or algorithms, therefore recommending unfair or inaccurate suggestions, which perpetuate stereotypes,

and exclude certain demographics.

Papers:

1. Smart Fashion Recommendation System using FashionNet 

2. Driven Fashion Recommender Systems 

3. AI Assisted Fashion Design 

4. AI Applications in Virtual Try-On & Fashion Synthesis 

5. Fashion Recommendation System 

Apps:

1. Cap Cut: https://play.google.com/store/apps/details?id=com.lemon.lvoverseas&hl=en&gl=US 

2. Makeover ModiFace: https://play.google.com/store/apps/details?id=hairstyle.colorChanger.haircut_salon&hl=en&gl=US 

3. Acloset: https://play.google.com/store/apps/details?id=com.looko.acloset&hl=en&gl=US 

4. Kondor AI: https://play.google.com/store/apps/details?id=com.crowdform.kondor&hl=en&gl=US 

5. AI wardrobe Web Application: https://wardrobe-ai.com

1. User Login

2. Login as a Guest

3. Profile Management

4. History Record

5. Questionnaire

6. Online Wardrobe

7. Outfits Recommendation

8. Outfits Generation

10. Brands Attire

11. Logout 

1. Personalized Fashion Recommendations

2. Virtual Try-On Experience

3. Enhanced Shopping Decisions

4. Efficient Wardrobe Management

5. Improved User Style Confidence

Rohan Ahmad (FC-103)

Hamza Mujahid (FC-084)

Samiullah (FC-110)