Mohammedvaraliya/AI-Amplify-Hackathon

This repository contains the solutions to three problem statements completed during the hackathon. Each problem statement is categorized based on its difficulty level: Easy, Moderate, and Hard.

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Experimental

This project offers tools to help with text-related tasks. It includes a system that corrects misspelled English words, turning incorrect text into accurate suggestions. There's also a sentiment analysis tool for LinkedIn posts and comments, which takes social media text and categorizes its emotional tone. Finally, it provides a gratitude assistant that generates personalized thank-you messages from user prompts. These tools are useful for content creators, social media managers, or anyone needing to refine text or understand audience sentiment.

No commits in the last 6 months.

Use this if you need to automatically correct spelling, analyze the emotional tone of LinkedIn content, or generate personalized gratitude messages.

Not ideal if you're looking for a single, integrated application rather than a collection of separate problem solutions.

content-creation social-media-management customer-relations text-refinement communication-enhancement
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 7 / 25

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Stars

10

Forks

1

Language

Python

License

MIT

Last pushed

Jul 24, 2023

Commits (30d)

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