• Akash Babar
• Sonali Jadhav
• Himanshu Puranik
• Amol Borade
• Sudershan Dolli, Madhuri Sonkhaskar

Online services are most popular now days. Like others e- commerce services, online grocery service get benefit from recommendation system, when it comes to predict users purchasing behaviour. These particular situations have specific characteristics, such as repetition loyalty, it makes different from the standard recommendations. In this paper we present an efficient solution to calculate the next purchase cart recommendation under more general standard recommendation framework. We suggest a set of collaborative filtering based techniques that can capture user purchase patterns.

Machine Learning, Collaborative Filtering Algorithm, Item Based Filtering, User Based Filtering, Content Based Recommendation.

"Implementation of Online Grocery Recommendation System by using Python Flask & Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.463-466, August-2022, Available :http://www.jetir.org/papers/JETIRFP06081.pdf

"Implementation of Online Grocery Recommendation System by using Python Flask & Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. pp463-466, August-2022, Available at : http://www.jetir.org/papers/JETIRFP06081.pdf