Just finished an end-to-end IoT gas monitoring project using ESP32, MQ sensor, Flask backend, and Chart.js dashboard. Added moving-average anomaly detection for SAFE/DANGER prediction.
Would love feedback on improving the AI logic and real-time architecture.
GitHub:
If this project helped you, please consider starring the repository.
For sustained development and educational content, sponsorships are welcome via GitHub Sponsors and Buy Me a Coffee.
Hey everyone 👋
I recently started a personal challenge called 100 Days, 100 IoT Projects to improve my hands-on skills in embedded systems and IoT.
The idea is simple:
👉 build one small IoT project every day — from beginner to advanced — and document everything properly.
🔧 What I’m using:
ESP32 / ESP8266
MicroPython
Sensors, displays, buzzers, motors
Simple web dashboards
GitHub for documentation
So far, I’ve been focusing on:
clean & beginner-friendly code
clear README files
practical projects that students can actually try
I’m doing this mainly for learning + consistency, and also to help other beginners who feel stuck on “what project should I build next?”
Here’s the GitHub repo if you want to check it out:
👉
I’d really appreciate:
feedback on project ideas
suggestions for future projects
or even criticism on how to improve the challenge 🙌 *If you loved it please star the repo Thanks for reading, and happy hacking ⚡
