Fashion Recommender

Inspiration

The inspiration for this project came from a passion for fashion and a desire to help individuals make confident clothing choices. I noticed that many people struggle to find outfits that suit their skin tone and the occasion. This project aims to bridge that gap by providing personalized clothing recommendations based on user inputs.

What it does

Recommends what attire of suitable combination to wear for a specific occasion

How we built it

We used Hugging face transformers to get recommendations and used AI to detect skin tone if image is given as input

Challenges we ran into

• Algorithm Implementation: Implementing machine learning algorithms for personalized recommendations required extensive testing and fine-tuning to achieve satisfactory results.

Accomplishments that we're proud of:

We are yet to finish the project

What we learned

Throughout this project, I gained valuable insights into several key areas:

• Fashion Trends: I researched various clothing styles and color theories to understand how different colors complement various skin tones.
• Machine Learning and AI: I explored how to implement machine learning algorithms to make personalized recommendations based on user input.

What's next for Fashion Recommender

Built With

• genai
• machine-learning
• ollama
• python
• streamlit