| 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 |
