https://github.com/es7/priority-pro

In this repository, you'll find a Streamlit application that analyzes the data and generates a priority table based on the sentiment, impact, and effort estimation provided in the input file.
https://github.com/es7/priority-pro

deep-learning gemini gemini-pro machine-learning natural-language-processing streamlit

Last synced: 20 days ago
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In this repository, you'll find a Streamlit application that analyzes the data and generates a priority table based on the sentiment, impact, and effort estimation provided in the input file.

• Host: GitHub
• URL: https://github.com/es7/priority-pro
• Owner: ES7
• License: mit
• Created: 2024-06-24T10:39:02.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-06-24T10:45:12.000Z (almost 2 years ago)
• Last Synced: 2025-02-28T20:04:13.160Z (over 1 year ago)
• Topics: deep-learning, gemini, gemini-pro, machine-learning, natural-language-processing, streamlit
• Language: Python
• Homepage:
• Size: 345 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Priority-Pro

This project involves developing a **Streamlit** application that takes an **Excel file** as input, analyzes it, and generates a priority table.


* The **sentiment column** categorizes feedback into positive, neutral, or negative sentiments.


* The **impact** and **effort columns** assign numerical values on a scale from 1 to 5 based on the impact and effort required for each feedback of user.

* The **priority column** is calculated based on the impact and effort values, with higher priority given to items with high impact and low effort.

Overall, the project aims to streamline the analysis of feedback data and prioritize actions based on their impact and effort.

![](output.png)