Slow to Fall in Love
Written by Deepak Gupta
Narrated by Digital Voice Praveen G
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About this audiobook
This audiobook is narrated by a digital voice.
Do you know how people fall in love? If someone is ever giving you the feeling of love, can you still distinguish between true love and infatuation? We often try to find true love, like it exists somewhere in the magical dark woods. Can you really find ready-made true love?
While building relationships, most people rush and try loving someone hard because they really need the feeling of love from someone. Of course, we need someone, but the need can't build true love. In need, we become selfish subconsciously and ignore the vital factors of true love. It's definitely true, when you are in need of love, you can probably choose the wrong love. People are falling in love very quickly because the idea of love is absolutely great to make us feel special and who doesn't want to feel special in his life.
Slow to Fall in Love is another classic and crystal-clear book in the 30 Minutes Read series which is focused on learning about loyal relationships and to guide on how you can fall in love with anyone slowly by your choice and build true love with consciousness and lifelike character. This book will surely transform your life forever when you will learn, love doesn't seek anything even the person you love. True Love can give you freedom that will look like manipulation.
What the ears neglect, the heart listens. What the lips overlook, the eyes speak.
Love has nothing to do with what you are expecting to get — only with what you are expecting to give — which is everything. - Katharine Hepburn.
Deepak Gupta
Dr. Deepak Gupta is an assistant professor at Maharaja Agrasen Institute of Technology, Delhi, India. He is an eminent academician, including roles as lecturer, researcher, consultant, community service, PhD, and post-doctorate supervision. Dr. Gupta focuses on rational and practical learning and has contributed important literature in the fields of Human-Computer Interaction, Intelligent Data Analysis, Nature-Inspired Computing, Machine Learning, and Soft Computing. Dr. Gupta has authored/edited a number of books, including Emerging Trends and Roles of Fog, Edge, and Pervasive Computing in Intelligent IoT-Driven Applications, Wiley; Advanced Machine Intelligence and Signal Processing, Springer; Deep Learning for Medical Applications with Unique Data, Elsevier/Academic Press; Explainable Edge AI: A Futuristic Computing Perspective, Springer; Applications of Big Data in Healthcare, Elsevier/Academic Press; and Data Science for Covid-19, Volumes 1 and 2, Elsevier/Academic Press; among others.
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