| 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 |
