PulseDiary

I actually came across this idea in a pretty random way — I was listening to a podcast episode where they were talking about how voice diaries are being used in mental health therapy. Mostly in the West though, and for individuals tracking their own emotions.

That kind of stuck with me. A few days later, I read an article about how voice-based platforms are helping people in rural areas access education or health information, just using basic phones. That’s when the dots connected.

I started thinking — what if we flipped the idea of voice diaries from being individual-focused to community-focused? Like, instead of using AI to analyze one person’s mood, what if we used it to analyze hundreds of short voice notes from a village, a school, or a refugee camp — and use that data to understand how people collectively feel?

As someone working in AI and ML, this felt both impactful and technically feasible. I already had experience with sentiment analysis and voice transcription tools like Whisper and Google’s API, so I knew it wouldn’t need massive infrastructure. Just a phone, voice, and some lightweight AI models.

That’s how this project — now called EchoMind — really came together. I wouldn’t say it was a eureka moment, more like small things stacking up until it felt obvious to try.

Built With

• flutterflow
• glide