https://github.com/sandyg6/myntra-hackerramp-weforshe-24

Myntra HackerRamp: WeForShe 2024 💃
https://github.com/sandyg6/myntra-hackerramp-weforshe-24

fashion-trends myntra weforshe

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Myntra HackerRamp: WeForShe 2024 💃

• Host: GitHub
• URL: https://github.com/sandyg6/myntra-hackerramp-weforshe-24
• Owner: sandyg6
• Created: 2024-07-15T17:23:44.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-07-15T17:32:04.000Z (5 months ago)
• Last Synced: 2024-07-15T21:35:19.757Z (5 months ago)
• Topics: fashion-trends, myntra, weforshe
• Language: Jupyter Notebook
• Homepage:
• Size: 7.2 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Myntra HackerRamp: WeForShe'24💃

### Problem Statement

- Trend-Identification: Utilize data analytics and market research to identify emerging fashion trends. 

- Trend-Demand forecasting: Using real-time data, forecasting fast fashion trends' demand on our platform, ensuring accurate predictions with shorter timeframes for production and procurement adjustments.

### Objectives

- Utilize data analytics to identify emerging fashion trends.

- Forecast demand using real-time data for accurate production and procurement adjustments.

### Tech Stack

- Data Collection:

~ Tools: Myntra’s Fashion review dataset (Existing)

- Data Processing:

~ Libraries: NLTK, Pandas, Scikit-learn

- Machine Learning Models:

~ Algorithms: Logistic Regression, TF-IDF Vectorization

- Deployment:

~ Framework: Flask