This is the backend portion of the application.

Written in php, it provides high level api calls to interact with the database (adding and retrieving diary entries) for the application, as well as running the emotion classifier in python to label the mood give emotion score.

Endpoint: https://cchandrew.com/api/unihack2025/

• Add an entry to the database
• Params: {date:YYYY-MM-DD, title, text}
• Response: If date does not exist, {response: "entry_inserted"}. If date exists, "{response: date_already_exists"}

• Fetch the data of a single diary entry provided date
• Params: {date:YYYY-MM-DD}
• Response: If date does not exist, {response: "date_does_not_exist"}. If date exists, "{response: ok", "title", "text", "label", "score"}

• Fetch the list of dates from the database
• Params: None
• Response: Array of "date": "value" pairs

All responses contain : "response" & "response_time" (seconds)

emotion_classifier.py takes in a piece of text as an argument, outputs the mood class and the score.

Model used: https://huggingface.co/j-hartmann/emotion-english-distilroberta-base

Dummy data for database:

• https://www.kaggle.com/datasets/madhavmalhotra/journal-entries-with-labelled-emotions
• https://www.kaggle.com/datasets/parulpandey/emotion-dataset