In this repository, we address various challenges in the fashion domain through innovative solutions powered by AI. Our goal is to enhance the fashion shopping experience for users by leveraging cutting-edge technologies. Here's an overview of the key problems we tackle and their corresponding solutions:

1. Visual Search: Employs a Generative AI Text-to-Image model to seamlessly transform textual inputs into virtual try-on images.

2. Conversational Fashion Chatbot - Mr Genie : Chatbot that engages users in discussions about fashion trends, preferences, and outfit ideas

3. Recommendation Engine for Similar Products: Recommends similar products to users based on their preferences and past purchases

4. Real-Time Fashion Trends Analysis: Provides real-time insights into the latest fashion trends and styles

   ---
   title: Fashion Genie Architecture
   ---
   stateDiagram-v2
       User --> LLM : Prompt
       User --> Diffusion : Images
       User --> Details : History & User Data
       Details --> RecSys
       LLM --> RecSys
       Diffusion --> RecSys
       note right of RecSys : Products
   

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1. Personalized Outfit Discovery: Elevated Elegance through Personalized Discovery

2. One model fits all: Singular Style, Tailored to All

3. Staying On-Trend: Navigating Trends with Flair

4. Elevated Shopping Experience: Crafting the Shopping Experience

5. Effortless Matching: Harmonious Ensemble in a Glance

6. Fashion Advice for All Ages: Beyond Generational Grace

7. Browsing History-Informed Recommendations: A Symphony of Histories, A Cadence of Discovery

8. Enhanced In-Store Experience: Bringing Digital Mirage to Retail Reality

9. User-Curated Wishlist: Sculpting Desires: A User-Curated Odyssey

10. Social Media Sharing: Ensemble Echoes in Cyberspace: Sharing Stories

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├── README.md               <- The top-level README for developers.
├── requirements
│   └── env.yml             <- The conda environment file for reproducing the
├── data                    <- Training and generated data is kept in this folder
├── models                  <- Trained and serialized models, model predictions,
│                              or model summaries.
├── notebooks               <- Jupyter notebooks.
├── scripts                 <- Analysis and production scripts which import the
build.
├── web                     <- Web app files(HTML, CSS, JS)
└── src                     <- Python files containing the architecture of the
                                project.

Name - Ayush Pratap Singh - https://github.com/ayushpratap113
Email - [email protected]. Contact number: 98391662530
Name - Harshit Singh - https://github.com/Harshitsingh-14
Email - [email protected]. Contact number: 9205021433