What is the App About?

• Inkly is a journaling app designed to build and maintain the habit of journaling with a focus on mental health. Ease of use is a distinguishing feature; the app starts with a blank canvas and offers structured prompts as needed.

Links

• Devpost
• Github Pages

Motivation

• Aims to make journaling habit-forming and simplify the process of mental unloading.
• Adds a social element by allowing you to remind friends to journal. This feature facilitates mutual accountability and offers positive reinforcement through sticker sharing.

Main Focus

• Mental Health
• Habit Formation
• Social Engagement

Features

• Streaks: Keep track of how consistent you are with your journaling. Streaks are mainly for positive reinforcement.
• Friends: Add friends to build new habits together. You can also send them stickers to remind them to journal.
• Stickers: Send stickers to friends to encourage them to journal. All users have access to a collection of pre-designed stickers, while custom stickers are a premium feature.

Future Scope

• Implement LLM to predict user mood based on sentiment analysis of thought dumps and follow-ups.
• Allow gradual removal of stickers from profiles to avoid clutter. Stickers will be removed 7 days after being received.

Architecture

• Built with Swift UI frontend, Firebase backend.
• Authentication via Firebase Authentication.
• Utilizes Langchain and GPT-3.5 Turbo for dynamic journaling prompts.
• Backend hosted on Heroku.
• Data privacy is maintained; none of the journaling activities are shared outside the app.

Technologies Used

• Firebase Auth
• Firebase Realtime Database
• Swift UI
• Flask
• Langchain: Used for multiple LLM features like sentiment analysis and dynamic prompts.
• Heroku: Scalable backend hosting.

Prerequisites

• Swift UI
• Firebase Account
• Langchain Dependencies
• Gunicorn

Demos

Youtube Link

Contributors

• Jaiswal, Shivanee (sjaiswal45@gatech.edu)
• Garg, Tanya (tgarg40@gatech.edu)
• Florea, Alexandru (aflorea6@gatech.edu)
• Pai, Pratiksha (ppai33@gatech.edu)
• All members contributed equally to the project.