Drillie

Mohammed Nisar Ahmed

Mohammed Nisar Ahmed

Visakhapatnam, Andhra Pradesh

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  • 0 Collaborators

Drillie is your legal mining guide chatbot. Drillie is an innovative project aimed at providing assistance and information regarding mining operations in India using multiple transformer models running simultaneously with data fed using Haystack by Deepset. ...learn more

Project status: Under Development

Artificial Intelligence

Intel Technologies
Intel CPU

Docs/PDFs [1]Code Samples [1]

Overview / Usage

  • To tackle the queries related to mining rules,regulations and circulars, we came up with the idea of creating a user-interactive chatbot which is available 24x7.
  • Our Chatbot is capable of summarizing, explaining, maintaining user friendly conversations with a specific persona and most importantly clearing queries related to mining rules and regulations.

Methodology / Approach

  • Easy and quick access: Provides assistance to get information about mining operations in India and summarize the rules for the user.
  • Real time queries: Provides real-time answers to queries about mining procedures, licensing, regulatory changes, enhancing efficiency and reducing compliance-related delays.
  • Web Page navigation:Assists the user to easily navigate through the website depending upon the user requirement .
  • Compliance Assistance: Provides up to date information about the mining rules and regulations.

Technologies Used

  • HTML, CSS, JS, FLASK
  • Python, Deepset, MySQL
  • Transformers are used in creation of this chatbot. Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio.
  • Roberta Base 2 squad is a NLP model implemented in transformer library, fine tuned using SQuAD2.0. It's been trained on question-answer pairs.

Documents and Presentations

Repository

https://github.com/raaasin/Drillie

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