Green Unripe Mango-Ginger-Lemon-Mint ——-Chilled Drink–To beat the Heat —In 10 minutes Only

All you need is : One green unripe mango, 2 small lemons, one handful of fresh green mint leaves, an one cubic inch of ginger.

It maxes 6 glasses of drink. Note, not everyone can digest green unripe mango, which is uncooked– test well before using regularly!

Sugar can be added if you like it. I had it without sugar! See if this unique taste suits you!

Step 1. Collect and clean ingredients:

One green unripe mango, 2 small lemons, one handful of fresh green mint leaves, an one cubic inch of ginger. Here it is for viewing.

Step 2. Peel the green unripe mango.

Step 3. Cut ginger and mango in large pieces.

Step 4. Put cut things-ginger, unripe mango and mint in mixture grinder. Also squeeze the 2 lemons in mixture-grinder.

Step 5. Add half spoon of rock salt-use normal salt if rock salt not available.

Mix it — till you get mixture-mine was ready in less than 30 seconds.

Step 6. Pour the mixture in glass– around 5 spoon in each glass- And add chilled water in it. Mix with spoon. Drink is ready.

Note: If guests at home, mix some sugar- 4 spoons to mixture–as well in grinder. And pour it with sieve to remove fibbers. I didn’t removed fibers, it tastes well to get small fibers in mouth. But you can remove it for added tastes. The recipe is for 6 glasses of this drink. See if raw green mango suits you—As last time I told you to cook it in pressure cooker–to taste completely different. Have a great day!

Published by Nidhika

I have an eager research-based approach to solve problems in the various areas using my expertise in Artificial Intelligence, Computer Science and Mathematics. I find solutions based on my experience, research skills, strong knowledge and foundations in the subjects like Artificial Intelligence, Machine Learning, Data Mining, Optimization Techniques, Linear Algebra to mention a few. This is augmented by my high standard of coding skills which vary from C++, Java, Perl to Data Science languages such as Python, R and MATLAB. To further establish, it many of the my works have already been published online as research papers in well reputed journals. I have intense experience in Natural Language Processing applications such as summarization, search, retrieval, sentiment analysis, wordnet, deep learning. Having worked on real time implementations of various applications of Computer Science. The domains that I have worked on are Health Care System, Electronic Document Management Systems, Natural Text Mining, EDA, Web Development etc. Apart from profession, I have inherent interest in writing especially poems, stories, doing painting, cooking, photography, music to mention a few!

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