- 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.
- Utilize data analytics to identify emerging fashion trends.
- Forecast demand using real-time data for accurate production and procurement adjustments.
- 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