Mercor_ML_Assessment Clothing Similarity Search Overview:
The goal of this project is to create a machine learning model capable of receiving text describing a clothing item and returning a ranked list of links to similar items from different websites. Your solution must be a function deployed on Google Cloud that accepts a text string and returns JSON responses with ranked suggestions.
Steps:
- Collect and preprocess data.
-Use web scraping tools to gather a dataset of clothing item descriptions.
-Preprocess the text data by cleaning it.
- Measure similarity.
-Develop a method for extracting useful features from the text descriptions.
-Compute the similarity between the input text and the texts in your database.
- Return ranked results.
-Design a function that accepts a text string, extracts its features, computes similarities with the items in the database, ranks them based on similarity, and returns the URLs of the top-N most similar items.
- Deploy the function.
-Deploy your function on Google Cloud Functions or Google Cloud Run.
Rubric:
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Completeness. Did the engineer implement all components of the project and carefully follow instructions?
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Performance. How well does the project achieve its intended goal? Is the implementation efficient?
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Documentation. How easy is the code to understand? Is code well-commented? Is there a ReadMe file with an overview of the project and instructions for deployment?
Results:
