Team Nothing Submission Ready

[SahejAgarwal05]

https://github.com/HY-258L/Tech4City2024

[codeautopilot]

PR summary

This Pull Request introduces a complete web application for sentiment analysis as part of the Huawei Tech4City 2024 competition. The application includes both frontend and backend components, integrated using Docker. The backend is built with Flask and uses an SQLite database to store analysis results and user feedback. The frontend is a simple HTML/CSS/JavaScript interface that allows users to input text for sentiment analysis, view results, and provide feedback on the accuracy of the analysis.

Suggestion

1. Code Cleanup: Remove unnecessary print statements and .DS_Store files from the repository.
2. Security: Ensure that sensitive information, such as API keys, is not committed to the repository.
3. Documentation: Add comments and documentation to the code for better readability and maintainability.
4. Error Handling: Improve error handling in the backend to manage potential issues like database connection failures or invalid input data.
5. Testing: Implement unit tests for both the frontend and backend to ensure the application works as expected.

Disclaimer: This comment was entirely generated using AI. Be aware that the information provided may be incorrect.

Current plan usage: 42.94%

Have feedback or need help?
Discord
Documentation
support@codeautopilot.com

[ChongXern]

https://github.com/HY-258L/Tech4City2024

Application for Sentiment Analysis

Our product takes in a sentence and using sentiment analysis shows how positive, negative or neutral the statement is. If there are any disagreements with the result, the user may indicate so and submit feedback with whether they thought the statement was positive, negative or neutral. This will be revised back for the model to re-learn and improve its sentiment analysis.