VibeVerdict
A Sentimental Analysis AI Webapp to recognize and tell you your mood
Description
This is a web application that uses Natural Language Processing (NLP) to analyze the sentiment of user input. The app will take in text, perform an analysis using machine learning algorithms.
Installation
To run VibeVerdict locally, you can follow these steps:
1. Clone the Repository
git clone https://github.com/your-username/VibeVerdict.git
cd VibeVerdict
2. Create a Virtual Environment
It's recommended to use a virtual environment to isolate the project dependencies. Run the following commands to create and activate a virtual environment:
python -m venv venv
# On Windows: .\venv\Scripts\activate
# On macOS/Linux: source venv/bin/activate
3. Install Dependencies
Install the required dependencies from the requirements.txt file:
pip install -r requirements.txt
4. Build Documentation
For documentation updates, run the following command in the root directory:
sphinx-build -b html docs docs/documentation
5. Run the Web Application
Now you can run the VibeVerdict web application:
python app.py
The app will be accessible in your web browser at http://localhost:5000.
Usage
Once the app is running, you can use the sentiment analysis feature by entering text in the provided text box, clicking the "Analyze Sentiment" button, and viewing the results.
Configuration
Configure your app by editing the config.py file.
Contact
For any inquiries or feedback, please feel free to contact us:
- Email: rohitagr2610@gmail.com

Log in or sign up for Devpost to join the conversation.