Software Architect / Microsoft MVP (AI) and Technical Author

AI, Azure, C#, Chat GPT, Daily Tracker, Developer Life, MVP

Announcement: Journal and Mood Tracking Micro-SaaS Released

A few weeks ago I published a blog How To: Creating a Private Journal and Mood Tracking App Using .NET 6, Chat GPT, C# and Visual Studio 2022.

 

This idea was the result of a tweet.  It came to me whilst out with my youngest son.

 

 

The main requirements in that were:

  • being able to supply text an image and mood for that day
  • being able to view all existing statuses for a given year

 

And from a technical perspective:

  • quick and simple to code
  • as few dependencies as possible
  • easy to use on mobile and simple interface
  • no database back end

 

The solution ran on JSON files and a few lines of code.  I decided to take this further and turn this into a micro-SaaS that runs in Azure.

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SaaS Version

The SaaS version contains additional features such as:

  • charting to help visualise and aggregate mood data
  • an Azure SQL database back-end to store data
  • Azure Maps to let you identify and pin the location of journal entries
  • Send Grid to handle email processing
  • Microsoft Identity to handle authentication and authorisation

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Key Features and Usage

The entire solution was built in a short amount of time using free Microsoft Azure credits, community tools, and services.

 

Key features include:

  • Capture text, mood, and an image
  • Record memories to look back on
  • Pin the location of journal entries
  • Graphical report and chart to visualise your data over 12 months

 

You can think of it as your own private timeline.

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Mental Health

Use this tool to evaluate your own behavioural trends and mental health over a specific time period.

Identify and remove everything making you frown.

Optimise  mindset and make further lifestyle adjustments.

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Artificial Intelligence

In a future release, AI, text analytics and computer vision will to help you correlate the what, who, and where with mood data.

For example:

  • you are most happy in these locations
  • these activities made you smile / meh / frown
  • top activities/locations/people that made you smile / meh / frown

Conversational AI might be integrated using Azure Open AI.  This would ingest journal data and offer suggestions to help you identify or further optimise lifestyle.

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From Prototype to Production.

Turning the prototype into a micro-SaaS wasn’t much work.  I shared some of this in a recent thread on Twitter.

I’ll detail the entire process and what it took to go from prototype to production in a longer form blog post in the coming weeks.

In the meantime you can find an early version of the app at https://dailytracker.co

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If you have any questions feel free to drop them below or contact me on Twitter.

Stay tuned.

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