Are These Requirements Correct for the "Real-Time Vote Analytics" Feature?

I have written a set of requirements for the "Real-Time Vote Analytics" feature in my project. I need feedback on whether all of them correctly fall under this feature or if any should be placed elsewhere.

Can someone review my requirements and let me know: Do all of them belong to Real-Time Vote Analytics, or should some be moved to another feature? Are there any repeated or duplicate requirements? Are there any missing aspects that should be included?

Feature: Real-Time Vote Analytics Description: The Real-Time Vote Analytics system provides live tracking and visualization of election data, ensuring transparency and accuracy. It instantly updates vote counts, displays voter participation rates, and offers various data visualizations such as graphs, heatmaps, and progress indicators. Administrators can filter data by different criteria, compare real-time trends with historical data, and export customized reports. The system also detect unusual voting activity, tracks administrative actions, and predicts voter turnout patterns. With role-based access, it ensures data security while giving election officials deep insights into voter engagement and participation trends. Priority: Very High

Response Sequence • Voters and administrators log in to access the system. • Voters cast their votes, and the system processes them instantly. • The system captures and analyzes the data, identifying trends and patterns. • Administrators apply filters to view specific insights based on different criteria. • The system continuously monitors activity, detecting anomalies or unusual voting behavior. • Admins generate and export reports for decision-making and record-keeping. • The analytics process runs in real time until the election concludes.

Functional requirements 1.The system should instantly update the vote count as soon as a vote is submitted, ensuring that there is no delay in displaying real-time results.

2. The system should continuously show the percentage of voters who have cast their votes compared to the total registered voters.

3.The system should provide different types of visualizations, such as bar charts, line graphs, and heatmaps, to help administrators analyze voting trends. It should also highlight sudden increases or decreases in voter turnout using color-coded indicators.

4. Administrators should be able to filter voting data by time period, region, age group, department, or other relevant categories. These filters should be customizable and allow officials to save and export specific analytics views for reporting and analysis.

5. The system will show live vote counts for each candidate, displaying both absolute numbers and percentages.

6. The system will display a progress bar indicating how close the election is to full voter participation. It will also estimate the number of voters expected to cast their votes before the deadline based on current voting trends.

7.The system shall provide a live geographic heatmap displaying voter turnout across different regions, cities, and districts, with interactive filtering options for regional insights. 8. The system shall allow administrators to compare real-time vote distribution with historical election trends using interactive visual overlays.

9. The system should provide insights on voter engagement, showing which groups (age, profession, location) are more active in the election.

10. The system should ensure role-based access, where administrators have full access to all analytics, while organizations have limited access to voting statistics. Voters will only be able to cast their votes and will not have access to analytics.

11. The system shall track and log all administrative activities, such as applying filters, exporting data, and modifying dashboard settings, each action will be recorded with a timestamp and user ID for auditing purposes.

12. The system allow administrators to export real-time analytics data anytime during the election, along with options to download full reports or customized filtered views based on their selected criteria.

13. The system should display statistics on invalid or rejected votes, providing insights into the reasons for rejection and the total number of such votes recorded.

14. The system will send alerts if voter turnout suddenly goes up or down. It will also create real-time reports showing voting trends and possible reasons, like technical problems or unexpected spikes in voting.

15 A voter re-engagement strategy should be suggested, such as sending a reminder notification to voters who have not yet completed their vote.

16. Voters are allowed to modify their votes before final submission, the system should have log all changes for transparency.

17. The system should analyze voter participation trends over time, identifying peak voting periods and slowdowns. It should highlight fluctuations and suggest possible interventions, such as reminders to low-turnout regions.

18. The system shall generate periodic turnout reports, summarizing voter participation trends, peak voting times, and projected final turnout for record-keeping and analysis.

19. The system shall automatically detect unusual voting patterns, such as rapid multiple votes from the same device or region, ensuring integrity in the voting process.

20. The system should allow administrators to customize which metrics they want to track in real-time. Data should be exportable in CSV, Excel, and PDF formats for external analysis and record-keeping. A one-click export option should be available to quickly generate reports for stakeholders.

Non-Functional Requirement:

1. The system must process and display real-time vote updates within less than 1 second, ensuring instant visibility of voting trends
2. The system should handle millions of votes simultaneously without performance issues, ensuring smooth operation even during peak voting times.
3. The interface should be user-friendly, supporting all devices (desktop, mobile, tablet) and following accessibility guidelines for disabled users.
4. The system should detect and recover from failures e.g. server crashes, network failures without losing real-time data.
5. The system must ensure continuous live vote tracking, even if a server goes down, by instantly switching to a backup