Generated from prompt:
Generate an academic-style PowerPoint presentation titled 'UniBot – University Smart Chat Assistant' as per Navkis College of Engineering AI&DS final presentation format. Use a clean white and blue academic theme. Backend: MySQL (replacing Firebase). Include the following structure: 1. Introduction: - Problem Statement: Students face difficulties managing academic information and schedules across multiple platforms. - Objectives: Develop a chatbot system for student–university interaction, provide instant access to timetables, faculty info, notes, and reminders. - Scope: Centralized web-based platform improving accessibility, organization, and productivity. - Literature Survey: Overview of studies highlighting chatbot benefits in educational environments. 2. Requirement Analysis: - Hardware: Intel i3/Ryzen 3+, 4GB RAM minimum, laptop/smartphone. - Software: OS (Windows/Linux/macOS), Frontend (HTML, CSS, JS), Backend (MySQL Database), Tools (VS Code, GitHub, MySQL Workbench). - Interfaces: Dashboard, Notes, Faculty, Reminders, Chatbot. 3. Design Phase: - Design Considerations: Simple, modular, responsive interface. - System Architecture: Three-tier design (Frontend, Application Layer, MySQL Database). - Flowchart: Steps from user input → validation → MySQL database → chatbot response. 4. Implementation: - Programming: HTML, CSS, JavaScript (Frontend), Node.js (Backend). - MySQL Integration: Handles timetable, faculty, notes, reminders. - Tools: VS Code, Git, MySQL Workbench. - Features: Chatbot, reminders, task management, and AI integration. 5. Results & Analysis: - Screenshots: Dashboard, Timetable, Notes, Faculty, Reminders modules. - Performance: Fast database access, smooth user experience, scalable MySQL backend. 6. Conclusion & Future Enhancements: - Conclusion: UniBot successfully enhances student–university communication and academic efficiency. - Future Work: Mobile app, ERP/LMS integration, AI-based Q&A, voice assistant. 7. References: Standard VTU citation format (Nguyen et al., 2025; Giri, 2024; Srivastava, 2022; Santana, 2021).
Academic presentation on UniBot, a web-based chatbot using MySQL backend for student access to timetables, faculty info, notes, & reminders. Covers problem, requirements, 3-tier design, implementation
The slide's main title is "UniBot – University Smart Chat Assistant." The subtitle identifies it as the "Navkis College of Engineering AI&DS Final Presentation."
Navkis College of Engineering AI&DS Final Presentation
Source: Navkis College of Engineering AI&DS Final Presentation
The agenda slide outlines a seven-section presentation structure: Introduction (problem, objectives, scope, literature), Requirement Analysis (hardware/software, interfaces), Design Phase (considerations, architecture, flowchart), and Implementation (frontend, Node.js backend, MySQL, features). It continues with Results & Analysis (screenshots, metrics), Conclusion & Future Enhancements (summary, achievements, future work), and References (VTU citations).
Problem statement, objectives, scope, literature survey.
Hardware, software requirements, and interfaces.
Design considerations, architecture, flowchart.
Frontend, Node.js backend, MySQL integration, features.
Screenshots of modules and performance metrics.
Summary, achievements, and future work.
Cited sources in VTU citation format. Source: UniBot – University Smart Chat Assistant
This section header slide titled "UniBot – University Smart Chat Assistant" marks the start of Section 1: Introduction (01). It subtitles the content as an overview of the problem, objectives, scope, and literature survey.
01
Overview of problem, objectives, scope, and literature survey
Source: Navkis College of Engineering AI&DS final presentation
Students struggle to manage academic information and schedules across multiple platforms. The objective is to develop a chatbot for timetables, faculty info, notes, and reminders to enable instant student-university interaction and productivity gains.
This section header slide for "UniBot – University Smart Chat Assistant" introduces Section 2. It titles the section "Requirement Analysis" with a subtitle overviewing hardware, software, and interfaces.
2
Hardware, software, and interfaces overview.
The slide specifies minimum hardware requirements of an Intel i3 or AMD Ryzen 3 processor and 4GB RAM, accessible on laptops and smartphones for broad compatibility. Software requirements include Windows, Linux, or macOS; HTML/CSS/JavaScript frontend; MySQL backend; and tools like VS Code, GitHub, and MySQL Workbench.
| Hardware Requirements | Software Requirements |
|---|---|
| Minimum specifications: Intel i3 or AMD Ryzen 3 processor, 4GB RAM. Accessible on laptops and smartphones for broad compatibility and ease of use. | Operating Systems: Windows, Linux, macOS. Frontend: HTML, CSS, JavaScript. Backend: MySQL database. Tools: VS Code, GitHub, MySQL Workbench for development and deployment. |
The "User Interfaces" slide lists key features of an academic platform. It includes a centralized dashboard for overviews, digital notes storage, faculty profiles and contacts, schedule reminders, and an AI-powered chatbot for queries.
This section header slide introduces Section 03: Design Phase in the UniBot – University Smart Chat Assistant presentation. It outlines key topics including design considerations, architecture, and flowchart.
03
Design considerations, architecture, and flowchart.
Source: Navkis College of Engineering AI&DS final presentation
The slide outlines design considerations and architecture, featuring a simple, modular, responsive UI and a three-tier structure (Frontend → Application Layer → MySQL DB). It emphasizes scalability, maintainability, multi-device accessibility, and separation of concerns for optimal performance.
The System Flowchart timeline depicts the chatbot's four-step process: receiving user queries via the web interface, validating input for security and format, querying the MySQL database for data like timetables or faculty info, and generating an intelligent response. This ensures safe and efficient handling of user interactions.
Step 1: Receive User Input User enters query into the chatbot interface on the web platform. Step 2: Input Validation Validate input for security, format, and intent to ensure safe processing. Step 3: Query MySQL Database Execute query to retrieve relevant data like timetables or faculty info from MySQL. Step 4: Generate Chatbot Response Process retrieved data to generate and display intelligent response to user.
Source: UniBot Design Phase
This section header slide introduces "4. Implementation" (Section 04) for UniBot – University Smart Chat Assistant. The subtitle outlines key aspects: technologies, integration, tools, and features.
04
Technologies, integration, tools, and features.
Source: Navkis College of Engineering AI&DS final presentation
The slide outlines the programming stack with HTML/CSS/JavaScript for responsive frontend UI and Node.js for backend logic, APIs, and data processing. It also details MySQL integration for handling timetables, faculty info, notes, and reminders via structured queries and scalable management.
| Programming Stack | MySQL Integration |
|---|---|
| Frontend: HTML/CSS/JavaScript for responsive, interactive UI. Backend: Node.js for server-side logic, API development, and efficient data processing. | MySQL database handles timetables, faculty info, notes, and reminders. Supports structured queries, fast retrieval, and scalable academic data management. |
Source: UniBot Presentation
The slide outlines key tools including VS Code for code editing, Git for version control, and MySQL Workbench for database management. It also details implemented features like a chatbot for student queries, schedule reminders, and AI for task management.
This section header slide introduces Section 05: Results & Analysis for the UniBot university smart chat assistant. It features a subtitle previewing screenshots of the Dashboard, Timetable, Notes, Faculty, Reminders, and Key Performance Metrics.
05
Screenshots of Dashboard, Timetable, Notes, Faculty, Reminders and Key Performance Metrics
Source: Navkis College of Engineering AI&DS Final Presentation
The slide displays screenshots of a Dashboard providing a centralized overview of schedules and quick access, alongside key modules. These include Timetable for personalized weekly class views, Notes for shared lecture resources, Faculty for professor profiles and contacts, and Reminders for deadlines and events.
Source: Photo by Fajar Herlambang STUDIO on Unsplash
The Performance Highlights slide features three key stats: query response time under 1 second for fast MySQL access, 99% system uptime for smooth user experience, and support for 1000+ concurrent users via scalable backend. These metrics underscore the system's speed, reliability, and scalability.
Fast MySQL access
Smooth user experience
Scalable backend
This section header slide introduces Section 6: Conclusion & Future Enhancements for UniBot – University Smart Chat Assistant. Its subtitle summarizes key achievements and outlines a roadmap for future improvements.
6
Summary of achievements and roadmap for future enhancements
Source: Navkis College of Engineering AI&DS Final Presentation
The conclusion slide highlights that UniBot improves student-university communications and academic efficiency using a MySQL backend. It closes with "Thank you for your attention! Questions?"
UniBot boosts student-university comms & academic efficiency with MySQL backend.
Thank you for your attention! Questions?
Source: UniBot – University Smart Chat Assistant
The "Future Work" slide outlines three key planned developments. These include a dedicated mobile app for on-the-go access, integration with ERP/LMS systems for seamless synchronization, and AI-powered Q&A and voice assistant features.
Source: UniBot – University Smart Chat Assistant
This slide, titled "7. References (VTU Format)", presents a bullet list of four citations. The references are: Nguyen et al. (2025), Giri (2024), Srivastava (2022), and Santana (2021).
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