The document is a report on an IPO allocation system developed by Aadarsha Upadhyaya under the supervision of Er. Dhiraj Kumar Jha, aimed at automating and streamlining the IPO application and allotment process. It discusses the system's architecture, security measures, user interactions, and testing methodologies to enhance efficiency and minimize human error. The report emphasizes the transformation of the traditional IPO process into a more productive and accurate automated solution.

1. Summer Project
Report Presentation
on IPO Allocation System
Presented By
Name: Aadarsha Upadhyaya
TU Roll: 11632/20
Supervised By
Er. Dhiraj Kumar Jha

2. Presentation Outline
• Introduction
• Algorithm Details
• Data Processing ( Input , Processing and Output)
• Testing Methodology
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3. Introduction
• NIBL Ace Capital Limited
• Wholly owned subsidiary of NIM Bank.
• Provides portfolio management services to busy investors.
• Tedious IPO Application and Allotment process.
• Difficult to analyze the portfolio for individual accounts.
• Time consuming and error-prone due to human intervention
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4. Objectives
• To build a secure web application.
• To automate the IPO application and allotment process.
• To manage Demat accounts of multiple users.
• To minimize human-errors and emphasize productivity.
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5. Literature Review
• The overall IPO process (allocation and allotment) can be complex and time-consuming,
requiring coordination between various entities such as issuing companies, regulatory
authorities, and investors (Lowry et al., 2017).
• Financial companies have assumed the emerging technologies to enhance operational
efficiency, improving customer-centric services, and favoring information technology
(Lee & Shin, 2018).
• To mitigate the problem of complexity and human errors, automated IPO management
systems have emerged as the solution of the overall IPO process (Sharma, 2013).
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6. Literature Review
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• (Dave & Panchal, 2021) mention that the digitalization of IPO application process needs to adapt
to new regulations imposed by the government as they constantly refine and update their policies to
ensure market stability and investor protection.
• As underscored by (Awad et al., 2019), such systems can be susceptible to several security threats
like: Cross-site Scripting (XSS) or SQL Injection. So, there is a crucial need for the
implementation of robust security measures.
• Finally, the proper selection of appropriate software development model ensures project success
and the incremental model , as described by (Sommerville, 1976), fits the requirements of
this system since it involves dividing the project into smaller, manageable increments and phases.

7. Algorithm Details
• Authentication (Successful login gives a token)
• Token Management (Using the token to access different API
modules)
• Database Interaction (Store and manage user data for batch
processing)
• Request-response cycle (Iterate over each user for accessing the
system)
• Error Handling (Implementation of retry and error logging functions)
• Security (Encryption and decryption of sensitive information).
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8. System Analysis
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Figure 1: Conceptual Class Diagram of IPO
Allocation System

9. System Analysis
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Figure 2: Use Case Diagram of IPO Allocation
System

10. System Design
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Figure 3: Descriptive Class Diagram of IPO
Allocation System

11. Data Processing
Input:
- username, password, and clientId for authentication.
- Successful login generates a token (for a session).
Processing:
- Token is used to access various modules like Apply IPO and Check
IPO.
- Customer data is manipulated to process the application process.
Output:
- After IPO is applier or checked, necessary information is displayed
to the user in a clear format.
- The generated data can be exported by the user for further analysis.
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12. System Design
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Figure 4: Activity Diagram of IPO Allocation
System

13. System Design
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Figure 5: Sequence Diagram of IPO Allocation
System

14. System Design
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Figure 6: Component Diagram of IPO Allocation
System

15. System Design
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Figure 7: Deployment Diagram of IPO Allocation
System

16. Testing Methodology
System Testing:
- Testing the overall system to ensure all the integrated components
work appropriately.
- Checking various actions that an admin can perform.
- Ensure data accuracy and consistency throughout the system.
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17. Testing Methodology
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User Acceptance Testing:
- Management of multiple demat accounts.
- Adding new accounts into the system.
- Application of newly listed IPO.
- Allocation report of published IPO result.

18. • In summary, the IPO management and allocation system is a major advancement
toward modernizing and simplifying the process of initial public offering.
• Through the resolution of the laborious and manual parts of IPO management, this
system provides a strong solution that improves the productivity, accuracy and
efficiency.
• By automating processes like mass application and result checking, the system
lowers the possibility of human errors and gives the organization more time.
Conclusion
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19. References
Awad, M., Ali, M., Takruri, M., & Ismail, S. (2019). Security vunrebalities related to web-based
data.
Dave, D., & Panchal, N. (2021). A Study of on Factors Affecting Digitalization of IPO Application
Process.
Lee, I., & Shin, Y. (2018). Fintech: Ecosystem, business models, investment decisions, and
challenges.
Michelle, L., Michaely, R., & Volkova, E. (2017). Initial Pulbic Offerings: A Synthesis of the
Literature and Directions for Future Research.
Sharma, M. (2013). A Review of Indian IPO Process.
Sommerville, I. (1976). Software Engineering 10th Edition.
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20. Appendix
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21. Appendix
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22. Appendix
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23. Appendix
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24. Appendix
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25. 25
Thank you