Watsus aims to create a two-sided marketplace where users can rent or sell event-specific clothing (e.g., wedding dresses, pageant gowns) and buy or rent second-hand clothes. The platform helps users afford high-quality clothing for special occasions and reduce clothing waste by facilitating the resale and rental of underused items.

• Jean Noubeyo Noubeyo

• William Sokol
• Chidinma
• Claire

• Toby Morning
  • Follow On: GitHub
  • Connect On: LinkedIn

Create a sustainable and affordable marketplace for high-quality event-specific clothing. Reduce clothing waste and support small businesses by enabling users to rent, sell, or trade items they no longer need.

• Shop Creation: Utilize user-generated images and form fields to create a searchable shop for ethnic clothing (e.g., African clothes).
• Database Development: Implement a database for clothing images with classification capabilities to extract fabric types, colors, and patterns.
• Image Recognition: Use convolutional methods to extract information and represent cuts as vectors, building segmentation models.
• Exchange Platform: Enable users to trade items to afford new ones.
• Small Business Discovery: Help users find small businesses that make similar items.
• Ease of Disposal: Enable users to get rid of excess unwanted items easily.

• Finding Affordable Items: As a user, I want to find affordable items for events by paying a fee or trading items I no longer need.
• Ethnic Clothing Search: As a user, I want to easily search for ethnic clothing using user-generated images and form fields.
• Image Classification: As a user, I want to upload images of my clothing items and have them classified by fabric, color, and pattern.
• Small Business Discovery: As a user, I want to discover small businesses that offer similar items.
• Item Disposal and Trade: As a user, I want to get rid of my unwanted items and potentially trade them for items I need.

• Store images of clothing items.
• Classify items to extract fabric and cuts (e.g., light blue, color, and pattern).
• Use convolutional methods to illustrate cuts and represent them as vectors.
• Build segmentation models for precise classification.

• Develop an exchange platform for item trade.

• Utilize the camera app to find items based on existing data.
• Limit searches to relevant items.
• Help users discover small businesses that make similar items.

• Scrap items from the reuse/resale market.
• Create a searchable database of 1 billion pieces of clothing.

Figma Design Link

• Individuals needing clothing for special events.
• People looking to sell or rent out their gently used clothing items.

• Small businesses offering unique clothing items.
• Users looking to trade items they no longer need.

• Find similar items.
• Auto-categorize items.
• Create vector embeddings for clothing images.
• Label certain areas by category name.

• Implement a photo upload system.
• Create a photo PSQL database.

• Lead Developer: William Sokol

• Chidinma:
  • Create a dashboard prototype.
  • Show the flow of how pictures will be saved with descriptions and prices.
  • Demonstrate how items will be searched for.
  • Develop an MVP pitch deck.

• Claire:
  • Find a dataset with images.
  • Create image embeddings.
  • Develop a search function for images from the embeddings.

TBD: Define storage solutions for the platform.

• Explore integration of vector edges for enhanced image recognition.

Begin the creation of the shop with user-generated images and searchable form fields for ethnic clothing (e.g., African clothes).

• Node.js
• PostgreSQL

1. Clone the repository:

   git clone https://github.com/yourusername/watsus.git
   cd watsus