Ai Based Neural Network Model For Stroke Prediction

• Author(s):

  Ramya K | Ragupathi R | Sivasakthi S | Thanigasalam V | Vasanthakumar S

• Keywords:

  Legal Chatbot, Artificial Intelligence, Natural Language Processing, BERT, Indian Penal Code, Legal Literacy, Offense Classification, Legal Assistance System, Machine Learning, Real-time Legal Guidance

• Abstract:

  Many Individuals Encounter Situations Where They Need Basic Legal Information And Guidance. However, Obtaining Professional Legal Advice Can Be Prohibitively Expensive, Especially For Minor Issues Or General Inquiries. As Technology Continues To Advance, The Legal Field Has Not Been Left Behind. Artificial Intelligence (AI) Offers New Possibilities For Assisting Individuals In Understanding Their Rights And Navigating Complex Legal Frameworks. This Project Introduces LawyerBot, An AI-powered Virtual Assistant Designed To Provide Accurate Information About Indian Laws And Legal Sections. LawyerBot Offers Guidance On Handling Various Legal Issues And Understanding How Laws Can Address Them. Utilizing Natural Language Processing (NLP) And Bidirectional Encoder Representations From Transformers (BERT), LawyerBot Engages Users In A Conversational Manner Through A Chat Interface. Users Can Input Their Queries Or Describe Their Legal Concerns, And The AI Leverages Its Training On Indian Legal Frameworks To Deliver Relevant Information And Recommend Next Steps. LawyerBot Offers Several Benefits, Including Prompt And Accessible Legal Guidance, Which Helps Users Avoid Consultation Fees For Minor Matters. It Also Enhances Legal Literacy By Increasing Awareness Of Indian Laws Among The General Population. Through Its Intuitive Chat Interface, LawyerBot Empowers Individuals To Independently Understand Their Rights And Navigate The Legal System. By Democratizing Access To Legal Knowledge, LawyerBot Represents A Cost-effective, User-friendly Solution For Those Seeking Legal Information And Support In India.

---

Other Details

• Paper id:

  IJSARTV11I5103560

• Published in:

  Volume: 11 Issue: 5 May 2025

• Publication Date:

  2025-05-14

Download Article