Devansh Malhotra

I just wrapped up the Meds Module. I’ve moved beyond simple tracking to create a truly intelligent clinical assistant. Now, MediSafe can take those complex lab results and instantly suggest a personalized medication and supplement plan using AI.

I focused heavily on the user experience here, which makes clinical data feel approachable. You can now seamlessly bridge the gap between AI recommendations and doctor-prescribed reality by editing, removing or manually adding meds to your profile.

P.S. I know using emojis for the app’s navigation icons might make people think it’s AI-generated, but I think they make the UI way easier to navigate. It’s a deliberate design decision to keep the interface intuitive, and it is not AI-generated!

I didn’t realize that adding devlogs every two hours was mandatory, so I’m logging the full session here. You can check my GitHub commit history to see the progression of the work and confirm that everything was developed manually.
During this time, I worked on SentinelNet, building and refining the core networkscanner module for device discovery and port/service scanning. I debugged module imports, improved the project structure, and cleaned up the architecture to better separate scanning, analysis and reporting components. I also tested functionality across different scenarios to ensure stable and predictable behavior.

I’m working on my first project! This is so exciting. I can’t wait to share more updates as I build.