"Add ML-Based Recommendations for Related Products Based on User Selections"

[Renukanarayan]

Description:

This PR transforms the search feature by implementing ML-based recommendations. Previously, search results only displayed items that matched the beginning letters of the query. Now, with ML integration, search results suggest related products based on user selection, item type, and category, creating a more personalized experience.

Highlights Enhanced Search: Upgrades search from exact matches to ML-driven recommendations. Relevant Suggestions: Provides related products to improve user engagement and discovery. gssoc-ext, hacktoberfest-accepted, Level 3 Issue Reference: #137 opened by @Renukanarayan

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[Renukanarayan]

This PR transforms the search feature by implementing ML-based recommendations. Previously, search results only displayed items that matched the beginning letters of the query. Now, with ML integration, search results suggest related products based on user selection, item type, and category, creating a more personalized experience.

[Renukanarayan]

How to run the recommendation search engine: 1.Navigate to recommendation_service 2.install needed libraries Command:- pip install Flask flask-cors pandas scikit-learn

3. Run the file Command:- python recommendation_service.py

[MinavKaria]

@Renukanarayan I'll review the code soon and let you know in few days