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These inferences and patterns give rise to the concept of Recommender Systems which play a major role in our day-to-day decisions in the form of various categories like “Recommended Items”, “You may also Like” or “People you may know” in fields of ecommerce and social media. We intend to extend the capabilities of Recommender system to find similarities and diversity in various food nutritional values and present them as alternative to the food being looked for.\n\n\nPackages required:\n1. Numpy\n2. Pandas\n3. Sklearn\n4. Joblib\n5. Flask\n6. Flask_bootstrap\n7. FuzzyWuzzy\n\nTo install packages: pip install \u003cpackage_name\u003e\n\nTo run the recommender system file:\n1. Open cmd\n2. Set working directory ~\\RecommenderSystem\\CodeBase\n3. Run command: 'python recomimpl.py'\n4. Run command 'set flask=app.py'\n5. Run command 'Run flask'\n6. 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