Microsoft PowerPoint - SIH2024_IDEA_Presentation_Format (1) (1)

Smart India Hackathon 2024 Title Page Problem Statement ID : sih1700 Problem Statement Title: Developing an (A-I ) based interactive Chatbot or virtual assistant for the Department of Justice’s Website. Theme: Smart Automation PS Category: Software Team ID: 9346 Team Name : Team Ai-Vocate.

[Audio] Idea Title  Overview of the Idea: Our solution involves developing an (A I ) powered chatbot and virtual assistant for the Department of Justice (DoJ) website. This chatbot will enable users to interact naturally and obtain relevant information regarding various aspects of the DoJ.  How It Solves the Problem: This (A I ) driven chatbot will provide instant answers to users' queries about: The various divisions within the DoJ. Current judges and vacancies across different courts. Case pendency through the National Judicial Data Grid (N-J-D-G-). Procedures for paying traffic fines. Live streaming of court cases. Steps for eFiling and ePay services. Details on fast-track courts and their operations. Downloading the eCourts Services Mobile App. Accessing Tele Law Services. Checking the status of ongoing cases.  Innovation & Uniqueness: Our chatbot stands out by continuously learning from user interactions, making it smarter and more efficient over time. It is designed to handle large data sets, ensuring scalability as the DoJ's digital footprint grows. This solution not only simplifies access to justice-related information but also enhances the user experience on the DoJ website. 2 @SIH Idea submission Template.

[Audio] Technical Approach  Technologies to Be Used: Languages & Frameworks: H-T-M-L-, C-S-S--, JavaScript for frontend; Python with Flask for backend. AI/ML Tools: G-P-T for natural language processing; TensorFlow/PyTorch for (A-I ) models. Databases & Cloud: MySQL/MongoDB for data storage.  Methodology & Process: 1.Frontend: Create a responsive website with an integrated chatbot interface. 2.Backend: Develop API-driven backend using Flask/Django to handle requests. 3.AI Integration: Train the chatbot on DoJ data for accurate responses and continuous learning. 4.Database: Securely store interaction logs and user data. 5.Deployment: Test and deploy on a scalable platform. 3 @SIH Idea submission Template.

[Audio] Feasibility And Viability  Feasibility: Technical: Reliable tech stack (Python, G-P-T--, cloud platforms) makes development and scaling achievable. Operational: Enhances user experience with instant, accurate responses. Economic: Reasonable costs with strong R-O-I potential through automation. Legal/Ethical: Data privacy measures and ethical (A-I ) use ensure compliance and trust.  Challenges & Mitigation: Data Privacy: Implement strong security and regular audits. (A-I ) Accuracy: Continuous model training and bias monitoring. Scalability: Use modular design; dedicated team for maintenance. User Adoption: Provide clear guidance and gather feedback to improve. 4 @SIH Idea submission Template.

[Audio] Impact And Benefits  Potential Impact on Target Audience: Improved Access: Users gain quick, easy access to DoJ information, enhancing their ability to navigate legal processes. Enhanced User Experience: Simplifies interactions with the justice system, making it more userfriendly and efficient.  Benefits of the Solution: Social: Increases accessibility to justice-related information, empowering citizens. Economic: Reduces costs associated with manual customer support and improves efficiency. Environmental: Lowers the need for physical visits and paperwork, contributing to a reduction in resource use. 5 @SIH Idea submission Template.

[Audio] Research And References An Approach to Get Legal Assistance Using Artificial Intelligence | I-E-E-E Conference Publication | I-E-E-E Xplore Department of Justice | Government of India | India (doj.gov.in) 6 @SIH Idea submission Template.