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Dec. 14, 2024, 10:12 p.m.
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Automated Mood Tracking with Random Reminder and GPT-4o-mini

Brief news summary

I use a structured system to monitor my moods as part of therapy, employing the Random Reminder app to send me three daily alerts. These prompts guide me to complete a Google Form regarding my mood, ensuring thorough data collection. MacroDroid automates opening the form in my browser, and all responses are logged in Google Sheets. For deeper analysis, I utilize Google Apps Script and a language model such as GPT-4o-mini to generate a summary each morning. This model emphasizes recurring themes and provides a chronological view of my well-being. The `prepareMoodContext` function processes the data for more effective theme recognition and summary. Every morning, I receive an email with mood trends and visual line graphs, aiding my understanding of emotional patterns. This system is especially helpful in managing my bipolar disorder and AuDHD by keeping me engaged through random notifications and automated updates. I also allocate specific times on my calendar to concentrate on this process, preventing fatigue. Although setting up the automation was swift, crafting an effective mental health tracking system was arduous and underscored the need for personalized solutions.

### The Solution **1. Input Data:** I use the Random Reminder app on Android to schedule three daily random push notifications. The first two happen between 9 am and 7 pm, and the last one between 9 pm and 11 pm, ensuring a comprehensive daily overview. This triggers a Google Form via MacroDroid when a notification is cleared. **2. Data Capture & LLM Integration:** Form submissions automatically back up to Google Sheets, which integrates with Google Apps Script to run custom functions. Around 6 am daily, I use these scripts to summarize the past 14 days using OpenAI’s GPT-4o-mini, creating insights by identifying recurring themes. The summarized information is formatted as a bulleted list and a narrative of overall well-being, generating a comprehensive mood report in Google Docs.

I utilize line graphs in Google Sheets to visualize mood ratings, which are added to the report. **3. Output Data:** The mood tracker report is emailed to me every morning, which I check routinely, reinforcing the habit of daily mood tracking. The email also links to submit the first mood entry of the day. **Adoption & Reception:** The system simplifies mood tracking, crucial for someone like me with bipolar disorder and focus issues due to AuDHD. The automation supports daily planning by blocking out uninterrupted focus time, crucial for productivity. Conversations about mental health are challenging, but this tool helps manage those difficulties effectively. Creating this system overnight was straightforward, but identifying and solving these issues has been a lifelong journey.


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