I want to write a 5,500-word dissertation  on my Task Management System that i developed. The following structure may be used as a template to be adapted for my own unique and specific case.
1. Abstract (300-400 words)
A concise summary of the research objectives, methodology, results, and conclusions. It highlights the significance of the work in relation to the discipline.

2. Table of Contents
Auto-generated by word processors to reflect the structure and pagination of the document.

3. Chapter 1: Introduction (800-1,000 words)
- 1.1 Background and Context - Introduce the topic and establish the significance of the research area.
- 1.2 Problem Statement - Clearly state the research problem being addressed.
- 1.3 Aims and Objectives - Outline the goals and specific objectives of the research.
- 1.4 Novelty and Contribution - Describe the unique aspects and potential impacts of the research.
- 1.5 Dissertation Structure Overview - Summarize the organization of the dissertation.

4. Chapter 2: Literature Review (2,000-3,000 words)
- 2.1 Introduction - Briefly summarize the scope and purpose of the literature review.
- 2.2 Current State of [Research Area] - Analyze existing literature on the topic.
- 2.3 Role of [Technology/Methodology] - Examine how the technology or methodology is applied in the field.
- 2.4 Challenges and Limitations - Discuss existing challenges in the research area.
- 2.5 Integration Frameworks - Explore frameworks or models relevant to integrating new solutions.
- 2.6 Ethical Considerations - Address ethical aspects related to the research topic.
- 2.7 Emerging Trends and Future Directions - Identify future trends and potential research areas.
- 2.8 Conclusion of Literature Review - Highlight key insights gained and research gaps.

5. Chapter 3: Methodology (1,500-2,000 words)
- 3.1 Introduction - State the purpose and structure of the methodology.
- 3.2 Research Design - Describe the overall strategy and approach.
- 3.3 Data Collection - Detail the data collection methods and sources.
- 3.4 System Design - Discuss the design process and architectural framework.
- 3.4.1 Architectural Framework
- 3.4.2 Use Case and User Requirements
- 3.5 Implementation - Elaborate on how the design was realized.
- 3.5.1 Natural Language Processing
- 3.5.2 Decision-Making Algorithms
- 3.6 Evaluation - Outline testing and assessment strategies.
- 3.7 Ethical Considerations - Include considerations for privacy and informed consent.
- 3.8 Conclusion of Methodology - Summarize the methodology and its contribution to achieving research objectives.

6. Chapter 4: System Design (1,500-2,000 words)
- 4.1 Introduction - Explain the importance of system design.
- 4.2 Architectural Framework - Describe the structure and layers.
- 4.2.1 Three-Tier Architecture
- 4.2.2 API Integration
- 4.3 User Interface Design - Discuss user interface strategies and principles.
- 4.4 Natural Language Processing (NLP) Engine - Explain the hybrid NLP approach.
- 4.5 Decision-Making Algorithms - Discuss algorithms used for decision making.
- 4.6 Security Considerations - Address security and privacy measures.
- 4.7 UML Diagrams - Include sequence diagrams to illustrate system components.
- 4.8 Chatbot Implementation - Detail the process of implementing the chatbot.
- 4.9 Requirements - Enumerate functional and non-functional requirements.
- 4.10 Conclusion of System Design - Conclude the design chapter with reflections on the choices made.

7. Chapter 5: Results (1,500-2,000 words)
- 5.1 Introduction - Provide an overview of the results.
- 5.2 System Performance - Describe performance metrics and outcomes.
- 5.2.1 Accuracy of Risk Assessments
- 5.2.2 Response Time
- 5.3 User Interaction and Usability - Discuss user engagement and usability testing results.
- 5.4 Limitations and Future Improvements - Recognize limitations and propose enhancements.
- 5.5 Conclusion of Results - Summarize the findings.

8. Chapter 6: Discussion and Conclusion (1,000-1,500 words)
- 6.1 Discussion - Interpret the results and their significance.
- 6.2 Conclusion - Summarize the research accomplishments.
- 6.3 Contributions to the Field - Highlight contributions and implications.
- 6.4 Future Work - Suggest avenues for future research.

9. References


Below is my runbook.
Task Management System Run Book
Introduction:
The Task Management System is a web-based application designed to facilitate the organization, tracking, and completion of tasks. This system helps users create, manage, and prioritize tasks effectively, improving productivity and ensuring that all tasks are completed on time. It provides features for task assignment, progress tracking, and reporting, making it an essential tool for both individual and team-based task management.
Prerequisites:
Web server (XAMPP 8.*.*)
PHP (>= version 7)
MySQL database server
Web browser (Chrome, Firefox, etc.)
Installation:
1.Clone or download the TMS repository from [repository URL].
2.Place the TMS files in the root directory of your web server that has assignment/tms or edit the PHP path variable in the files to match project root directory.
3.Ensure that the necessary permissions are set for files and directories, particularly for write access to folders where data will be stored (e.g., for logs, uploads).
4.Import the provided database schema (tms_db.sql file) into your MySQL database.
5.Configure the database connection settings in the appropriate PHP files (server/config/MysqlDBH.php).

Configuration:
1.Open the server/config/MysqlDBH.php file and update the following settings as needed:
Database host
Database username
Database password
Database name as dbname

2.Review other configuration options available in the file and adjust them according to your requirements.

Starting the Application:
1.Ensure that your web server and MySQL database server are running.
2.Open a web browser and navigate to the URL where the TMS application is hosted.
3.You should be greeted with the home page of the TMS system.
4.Click at the Get Started to create an account and login with the created credentials to gain access to the user dashboard.

Usage:
1.Upon logging in, you will be presented with the dashboard, where you can navigate to different modules of the TMS system.
2.Explore the various functionalities provided by the TMS system, including:
Project management
Task management
User Profile Management
Reporting
In-App Notification System

Maintenance:
1.Regularly backup the TMS database to prevent data loss.
2.Keep the TMS application and its dependencies (PHP, MySQL, etc.) up to date with the latest security patches and updates.
3.Monitor server logs and application logs for any errors or issues and take appropriate action to resolve them.
4.Periodically review and optimize database queries and application code for better performance.
Troubleshooting:
1.If you encounter any errors or issues while using the TMS system, refer to the application logs for error messages and stack traces.
2.Check the server logs for any relevant error messages that may indicate server-side issues.
3.Consult the documentation or seek assistance from the development team or online forums for troubleshooting assistance.

Conclusion:
The Task Management System (TMS) is now set up and ready to use. Follow this runbook for installation, configuration, and maintenance to effectively manage and monitor task and project reporting in any official or organized setting.


Below is the list of requirements
Functional Requirements
1.User Management:
oUsers can create accounts and log in.
oAccess level (e.g., Creators and Members).
oUsers can update their profiles and passwords.
2.Task Management:
oCreate, view, edit, and delete tasks.
oAssign tasks to a user.
oSet task priorities (e.g., high, medium, low).
oSet due dates and deadlines.
oTrack task status (e.g., unstarted, in progress, completed, finished).
oAttach files or documents to tasks.
3.Project Management:
oCreate, view, edit, and delete projects.
oAssign tasks to specific projects.
oView project progress and task distribution.
4.Notification System:
oNotify users of new tasks, and task updates in-app notifications.
oReminder system for approaching deadlines. (Maybe)
5.Dashboard and Reporting:
oProvide a dashboard to show an overview of tasks and projects.
oGenerate reports on task completion, user performance, and project progress.
6.Collaboration Features:
oAllow users to comment on tasks.
oAllow user to create subtask under a task.
7.Time Tracking:
oLog time spent on tasks.
oGenerate reports on time spent per task/project.
o
Non-Functional Requirements
1.Performance:
oThe system should load pages within 2-4 seconds under normal load.
oThe system should handle at least 100 concurrent users without performance degradation.
2.Scalability:
oThe system should be able to scale horizontally to handle more users or data as the organization grows.
3.Security:
oPasswords should be stored securely using encryption (e.g., hashing with salt).
oImplement role-based access control to ensure users only access what they are authorized to.
oUse HTTPS for secure communication between the client and server.
4.Reliability and Availability:
oThe system should have a 99.9% uptime.
5.Usability:
oThe interface should be intuitive and easy to use, with a minimal learning curve.
oProvide accessible design compliant with WCAG (Web Content Accessibility Guidelines).
6.Maintainability:
oThe system should be modular, making it easy to update or replace parts of the codebase.
7.Compatibility:
oThe system should work across major browsers (Chrome, Firefox, Safari, Edge).
oIt should be responsive and accessible on mobile devices as well.
8.Data Integrity:
oEnsure that data is consistent and accurate, especially when handling multiple users updating tasks simultaneously.


Below is the index.php code for the web app
<!DOCTYPE html>
<html lang="en">

<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>Task Management Platform</title>
  <link rel="stylesheet" href="./static/styles/home.css" />

  <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/swiper@11/swiper-bundle.min.css" />
  <script src="https://cdn.jsdelivr.net/npm/swiper@11/swiper-bundle.min.js"></script>
</head>

<body>
  <div class="container">

    <header>
      <img src="./static/images/hero.png" alt="Hero">
      <div class="overlay">
        <nav>
          <a href="<?php echo $path . "/"; ?>" id="logo">
            <svg viewBox="0 0 58 25" fill="none" xmlns="http://www.w3.org/2000/svg">
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        <section>
          <!-- <h1>Archive HealthCare Iot Threat System</h1> -->
          <h1>Stay Organized, Stay Productive</h1>
          <p>Efficiently manage your tasks and boost your productivity</p>
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      </div>

    </header>



    <section class="features" id="features">
      <h2>Features</h2>

      <ul>
        <li>
          <strong>Task Assignment and Delegation</strong>
          Easily create, assign, and delegate tasks based on authorization levels.
        </li>
        <li style="background-color: #4ecfec;">
          <strong>Progress Monitoring</strong>
          Track progress in real-time with dashboards and Gantt charts.
        </li>
        <li style="background-color: #ecb54e;">
          <strong>Deadline Tracking</strong>
          Receive alerts and notifications to meet deadlines efficiently.
        </li>
        <li style="background-color: rgb(232, 102, 102);">
          <strong>Collaborative Tools</strong>
          Enjoy messaging, file sharing, and commenting functionalities for seamless communication.
        </li>
      </ul>
    </section>

    <section class="testimonials" id="testimonials">
      <h2>What Our Users Say</h2>
      <div class="swiper">
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          <div class="swiper-slide">
            <p>"This platform has transformed the way our team works together."</p>
            <strong>- Alex Johnson</strong>
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            <p>"We've seen a significant increase in productivity since using this tool."</p>
            <strong>- Maria Rodriguez</strong>
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          <div class="swiper-slide">
            <p>"An indispensable tool for our project management needs."</p>
            <strong>- John Doe</strong>
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            <p>"Task Manager has streamlined our workflow and improved our efficiency."</p>
            <strong>- Sarah Williams</strong>
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            <p>"The collaborative features have made team communication much easier."</p>
            <strong>- Michael Brown</strong>
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            <p>"I love the deadline tracking feature; it keeps us on schedule."</p>
            <strong>- Emily Davis</strong>
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            <p>"The progress monitoring tools are fantastic for keeping track of project milestones."</p>
            <strong>- David Smith</strong>
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Below is the list of academic literatures i want to use throughout this dissertation.

M. J. P. Peixoto and A. Azim, "A collaborative and distributed task management system for real-time systems," 2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC), Nashville, TN, USA, 2023, pp. 117-125, doi: 10.1109/ISORC58943.2023.00024. keywords: {Cloud computing;Processor scheduling;High performance computing;Collaboration;Real-time systems;Automobiles;Resource management;Real-time systems;collaborative systems;distributed systems;machine learning},


S. M. Joshi and P. P. Joshi, "Smart Task Board: Complete web accessible solution to modern task management," 2023 International Conference on Emerging Smart Computing and Informatics (ESCI), Pune, India, 2023, pp. 1-6, doi: 10.1109/ESCI56872.2023.10100154. keywords: {Visualization;Throughput;Web sites;Task analysis;Informatics;Monitoring;Guidelines;Computer vision;Machine learning;Regression;Web accessibility;Task management;Screen readers;Eye tracking},


Prince Ana., et al. “Design and Implementation of Staff Productivity Management Information System". Acta Scientific Computer Sciences 5.9 (2023): 26-32.

Uriawan, W.; Ristian Asgari, Y.; M Imron, R.; Irhamnillah, S.; Pitriani, P.; Fathu Rijan, W. Increase Productivity with Tasknest as Daily Log and Project Planner. Preprints 2024, 2024062054. https://doi.org/10.20944/preprints202406.2054.v1


W. Wang, Y. Li, H. Tian, Y. Lei, X. Li and Y. Jiang, "Design and Verification of Autonomous Task Management for Remote Sensing Satellites," 2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), Chongqing, China, 2024, pp. 1364-1368, doi: 10.1109/IAEAC59436.2024.10503618. keywords: {Satellites;Merging;Process control;Orbits;Reliability;Task analysis;Information technology;SAR satellite;autonomous task management;architecture},

Alimova, S. (2024). THE ROLE OF INFORMATION TECHNOLOGY IN THE PERSONNEL MANAGEMENT SYSTEM. Modern Science and Research, 3(2), 385–390. Retrieved from https://inlibrary.uz/index.php/science-research/article/view/29038


F. Hossein-Khani, O. Akbari and M. Shafique, "A Two-Level Thermal Cycling-Aware Task Mapping Technique for Reliability Management in Manycore Systems," in IEEE Access, vol. 12, pp. 113406-113421, 2024, doi: 10.1109/ACCESS.2024.3443539.
keywords: {Task analysis;Aging;Reliability engineering;Heating systems;Temperature sensors;Thermal variables control;Thermal management;Multicore processing;Reliability management;thermal cycling;aging;manycore systems;task mapping},


H. Wang et al., "hmOS: An Extensible Platform for Task-Oriented Human–Machine Computing," in IEEE Transactions on Human-Machine Systems, doi: 10.1109/THMS.2024.3414432.
keywords: {Task analysis;Collaboration;Computational modeling;Runtime;Resource management;Reliability;Crowdsourcing;Allocation mechanism;architecture;collaboration mode;human–machine computing (HMC);interactive platform},


P. Singh, B. Hazarika, K. Singh, W. -J. Huang and C. -P. Li, "Augmented Multi-Agent DRL for Multi-Incentive Task Prioritization in Vehicular Crowdsensing," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2024.3446954.
keywords: {Task analysis;Crowdsensing;Servers;Vehicle dynamics;Sensors;Real-time systems;Decision making;Internet of Vehicles (IoV);augmented intelligence;deep reinforcement learning (DRL);mobile edge computing (MEC);vehicular crowdsensing (VCS)},



X. Zheng, X. Zhou, W. Liang and K. I. -K. Wang, "Multi-Task Correlation Constrained Topological Learning Toward Smart Prognostic and Health Management in IoT," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2024.3446551.
keywords: {Feature extraction;Prognostics and health management;Task analysis;Multitasking;Data models;Internet of Things;Maintenance;Prognostic and Health Management;Imbalanced Learning;Multi-task Learning;Energy IoT;Deep Learning},



Ahmetoglu, Y., Brumby, D. and Cox, A. (2024) Bridging the Gap Between Time Management Research and Task Management App Design: A Study on the Integration of Planning Fallacy Mitigation Strategies. [online]. Available from: https://doi.org/10.1145/3663384.3663404.
Akram, M.L.H., Aminuddin, R., Abu, Z. and Pazil, N.S.M. (2024) Group Assignment Management System (GAMS) for University Students. January 20, 2024 [online]. Available from: https://ijarped.com/index.php/journal/article/view/590.
Bauwens, R., Audenaert, M. and Decramer, A. (2023) Performance management systems, innovative work behavior and the role of transformational leadership: an experimental approach. Journal of Organizational Effectiveness People and Performance [online]. 11 (1), pp. 178–195. Available from: https://doi.org/10.1108/joepp-03-2022-0066.
Djenadi, A., Khanouche, M.E. and Mendil, B. (2024) A lexicographic optimization-based approach for efficient task allocation in industrial transportation multi-robot systems. Expert Systems With Applications [online]. 257, p. 124998. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0957417424018657.
Jiang, J., Huang, D., Chen, H., Lu, Y. and Liao, X. (2023) HTDcr: a job execution framework for high-throughput computing on supercomputers. Science China Information Sciences [online]. 67 (1). Available from: https://doi.org/10.1007/s11432-022-3657-3.
Kim, S.H., Jin, J., Sevinchan, M. and Davies, A. (2023) How do automated reasoning features impact the usability of a clinical task management system? Development and usability testing of a prototype. International Journal of Medical Informatics [online]. 174, p. 105067. Available from: https://www.sciencedirect.com/science/article/pii/S1386505623000850.
Lin, M. and Wen, Z. (2024) Contractual Mechanisms in National Park Management: A Multi-Task Principal–Agent Model. Land [online]. 13 (7), p. 914. Available from: https://www.mdpi.com/2073-445X/13/7/914.
Mahamuni, T., Chormale, A., Sarade, B. and Singh, S. (2024) From Paper to Digital: Transitioning Employee Processes with an Employee Management System. ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY [online]. 10 (1), pp. 54–57. Available from: https://doi.org/10.33130/ajct.2024v10i01.011.
Moustakas, T. and Kolomvatsos, K. (2024) Drift-based task management in support of pervasive edge applications. Internet of Things [online]. p. 101277. Available from: https://www.sciencedirect.com/science/article/abs/pii/S254266052400218X.
Popov, S. (2024) Decentralization of Task Management Algorithm Using Blockchain Technology. Physics of Particles and Nuclei [online]. 55 (3), pp. 421–423. Available from: https://doi.org/10.1134/s1063779624030675.
Puspitarani, Y., Violina, S., Rumaisa, F. and Sulianta, F. (2024) Implementation of Kanban Method in Transactional System Design in the “Mr. Sneakers” Shoe Laundry Business. Brilliance Research of Artificial Intelligence [online]. 4 (1), pp. 185–191. Available from: https://jurnal.itscience.org/index.php/brilliance/article/view/3859.
Santoso, B.R., Setiawan, V.Z., Shidiq, M.D., Pribadi, A. and Hasugian, L.P. (2023) Designing task management information systems and key performance indicators at Sinergi Foundation. AIP Conference Proceedings [online]. Available from: https://pubs.aip.org/aip/acp/article-abstract/2882/1/070003/2917646/Designing-task-management-information-systems-and.
Tadas, P. and Lokulwar, P. (2024) Design and Development of Advanced CRM and Task Management System using PHP. | Grenze International Journal of Engineering & Technology (GIJET) | EBSCOhost. January 15, 2024 [online]. Available from: https://openurl.ebsco.com/EPDB%3Agcd%3A11%3A5246283/detailv2?sid=ebsco%3Aplink%3Ascholar&id=ebsco%3Agcd%3A175658246&crl=c.
Tian, H., Wang, Y. and Ye, K. (2024) DigitalPlantMan: A Multi Process Manufacturing Task Management System for Digital Plant. In: Lecture notes in computer science [online]. pp. 72–87.
Veza, O., Larisang, L., Setyabudhi, A.L., Arifin, N.Y., Syofiawan, D. and Martino, H.G. (2024) Analysis and Design of Web-based Internal Office Memo (IOM) Management System. Indonesian Journal of Computer Science [online]. 13 (1). Available from: http://ijcs.net/ijcs/index.php/ijcs/article/view/3511.
Zhou, J., Luo, M., Chen, L., Zhu, Q., Jiang, S., Zhang, F., Shang, W. and Jiang, J. (2024) A multi-robot-multi-task scheduling system for autonomous chemistry laboratories. [online]. Available from: https://chemrxiv.org/engage/chemrxiv/article-details/66b50a2c01103d79c53fed30.


Now, put everything i mentioned above into consideration throughout this conversation. 

Now, generate for me, a comprehensively detailed structure (including word count for each section) to write this 5500-word dissertation in the best possible way.