| Project Name | Description | Team | Assigned Date | Due Date | Status | Priority | Actions |
|---|---|---|---|---|---|---|---|
 Design & Developing New ProjectTotal 18/22 tasks completed | Create a user-friendly dashboard that aggregates and visualizes customer feedback data. | 24,Nov 2024 | 12,Dec 2024 | 80% Completed | Low | ||
 Content Management System (CMS) IntegrationTotal 26/68 tasks completed | Analyze and categorize feedback into positive, neutral, and negative sentiments. | 20,Nov 2024 | 10,Jan 2024 | 45% Completed | Medium | ||
 Task Scheduler and AutomationTotal 21/45 tasks completed | Implement sentiment analysis to identify key themes and trends within the feedback. | 31,Dec 2024 | 10,Feb 2024 | 66% Completed | Low | ||
 Advanced Search and FilteringTotal 45/54 tasks completed | Provide actionable recommendations based on the analysis to improve customer satisfaction. | 02,Jun 2024 | 15,Jun 2024 | 89% Completed | High | ||
 Data Export and ReportingTotal 14/26 tasks completed | Real-time data collection from various customer feedback sources, including surveys, emails, and social media. | 29,May 2024 | 08,Jun 2024 | 60% Completed | Medium | ||
 Activity Log and Audit TrailTotal 28/64 tasks completed | NLP and Sentiment Analysis: Natural Language Toolkit (NLTK), spaCy, and TextBlob |   | 04,Jun 2024 | 15,Jun 2024 | 45% Completed | Low | |
 Role-Based Access Control (RBAC) ImplementationTotal 86/122 tasks completed | Sentiment analysis using Natural Language Processing (NLP) techniques. | 24,Jun 2024 | 05,Jul 2024 | 65% Completed | High | ||
 Customizable Themes and LayoutsTotal 20/26 tasks completed | Filtering and sorting options to drill down into specific feedback categories. | 20,Jun 2024 | 18,Jul 2024 | 75% Completed | Medium |
