Text Mood Analyzer

Sentiment Analysis Web App

https://vibe-check.herokuapp.com/ 

Project Overview:

Developed a web application for sentiment analysis using React. Leveraged the Google Cloud Natural Language API for precise AI-powered sentiment analysis of user-submitted text, ensuring its sentiment is understood correctly for effective communication. Crafted a responsive and engaging user interface, successfully deployed to a public server, and garnered positive user feedback. Through this project, I aimed to enhance digital communication and promote self-awareness in a digital age.

Problem:

With the rapid pace of digital communication, users often find it challenging to gauge the sentiment of their messages, potentially leading to misunderstandings. The vision was to craft a solution, "VibeCheck," to provide insight into the emotional tone of written messages, thus enabling clearer communication and improved self-awareness.

User Stories:

1. As a user, I want to input my written message and receive its sentiment analysis so that I can comprehend its potential impact and prevent misinterpretations.

2. As a user, I want the application to deliver an accurate assessment of my text's emotional tone.

3. As a user, I want the sentiment analysis results presented clearly and understandably.

4. As a user, I'd like a visual representation (e.g., a gauge or meter) of the sentiment score for swift interpretation.

5. As a user, I want the app to be accessible and functional on both desktop and mobile devices.

Acceptance Criteria:

1. Users can effortlessly input text messages into the application for sentiment analysis.

2. Utilizes the Google Cloud Natural Language API for sentiment evaluation.

3. Provides a clear sentiment score, categorizing the input as positive, neutral, or negative.

4. Displays sentiment results with relevant infographics or labels.

5. Features a user-centric interface with intuitive navigation.

6. Offers a responsive design catering to various devices. 

Outcome:

VibeCheck was built using React, integrating the Google Cloud Natural Language API for precise sentiment evaluation. The responsive and visually pleasing user interface ensured a smooth experience across devices. Following its deployment on a public server, the app received positive feedback, highlighting its effectiveness in offering valuable emotional insights into written messages.

This venture underscores my capability to design user-focused web applications that harness AI-powered sentiment analysis to improve communication and heighten self-awareness.