Essence

"Unlocking Unity, One Faith at a Time: Support our AI-Powered Chatbot Project for Interfaith Understanding and Promote Peaceful Coexistence."

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Project Essence

Inspiration

Recent attack on Israel and constant wars in the name of Religion.

“More people have been killed in the name of God than for any other reason.”

  • George Carlin

Why we chose this project?

Diversity of Texts: Each religion has its own extensive collection of scriptures, teachings, and commentaries. Time Consuming: It can take a lifetime to fully understand and appreciate the depth and nuances of a single religious tradition.

What it does

A small effort to promote harmony in the world🙂. World has been fighting over differences in religious beliefs. Essence is a Prototype of web application that highlights the essence of religious texts like Bible, Quran, Geeta, etc. The texts from the scriptures is present in the database. The user can put the keywords and the application will extract the verses containing the keyword from the scripture in the chatbot.

Discovering Harmony in Faith: Our AI-Powered Project Analyzes Texts from Religious Books to Unearth Shared Phrases, Fostering Understanding and Peace. We're not just bridging religious differences, but also offering a chance to make a difference - by accepting funds and channeling them towards the victims of conflict.

Where can we use it?

Besides fundraising application, it can also be used in Social Media Platforms, Events, and Conferences to promote peace and humanity. It can also be used in Billboards and Automotive Digital Advertising.

How we built it

Using Java, Spring Boot, HTML, CSS, Javascript, and Visual Studio

The Challenges and Future Possibilities:

Linguistic Diversity: The world's languages are incredibly diverse, with varying grammar, syntax, and vocabulary. Training models to comprehend this diversity is a significant challenge. Data Availability: AI models, particularly those based on deep learning, require large amounts of high-quality training data. Multilingual Models: While many models aim to understand multiple languages, building truly multilingual models that are equally proficient in each language can be challenging. Cultural Context: Language understanding isn't just about words but also cultural context, idiomatic expressions, and nuances. Teaching AI models to grasp cultural subtleties is intricate and context-dependent.

Accomplishments that we're proud of

Please do not forget to check the photos and video demo in GitHub.
https://github.com/manushiparajuli/NSBEHackathon

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