Vasthu Shastra Using AI Rule Based Expert System (CLIPS)

Adapa, Srinivas and Enireddy, Vamsidhar and Gandi, Netaji and Prasad, Vydarsi Sita Rama (2022) Vasthu Shastra Using AI Rule Based Expert System (CLIPS). In: Innovations in Science and Technology Vol. 7. B P International, pp. 35-48. ISBN 978-93-5547-455-1

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Abstract

Throughout the years, individuals have truly developed to utilize Vastu Shastra for better life. They have begun to value the idea a great deal. What is the explanation for individuals utilizing and acknowledging Vastu Shastra to such an extent? What makes this custom so interesting or so fruitful? Indeed, a ton of things. Vastu Shastra can truly improve an individual's life. It is very difficult to bring Vasthu consultant to your place as they charge huge consultation fee and also to rely on single Vasthu consultant report because in market different consultants will give different suggestions and remedies. There are so many tips and FAQ's available online for Free but that doesn't solve the problem that we are facing in real time scenario. This paper presents Virtual Vasthu Pandit where the user can answer several questions raised by Artificial Intelligence Expert Systems before he/she decide to purchase a particular piece of land or not. This virtual vasthu expert systems is developed after consulting several vasthu shastra experts and online resources that also tells several remedies in their existing flat and also whether that particular flat is suitable for him/her based on the owner date of birth. This virtual vasthu consultant will be cost effective and reliable. This paper is implemented using CLIPS (C Language Integrated Production System) which is a public domain software tool for building expert system. The implementation code of this expert system also shared at the end of this chapter.

Item Type: Book Section
Subjects: Euro Archives > Multidisciplinary
Depositing User: Managing Editor
Date Deposited: 17 Oct 2023 04:38
Last Modified: 17 Oct 2023 04:38
URI: http://publish7promo.com/id/eprint/3403

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