[MediSafe] Implement a permanent memory layer for health data

I’ve been working on a project to bridge the gap between Personal Health Data and AI Analysis. The biggest friction I found when using AI for health is that you have to constantly re-upload files and re-explain your history. It’s tedious, and it feels like a privacy risk every time you hit "upload." The Project: MediSafe I built this to act as a Permanent Memory Layer for your health. Instead of a cloud-based app, I designed it to be Local-First, meaning the data "vault" stays entirely on your device. What the project achieves: Structured Archiving: It processes messy lab reports and prescriptions into a structured format that stays in your local browser storage. Persistent Context: When you use the "Ask AI" feature, the app automatically references your entire historical record (past labs, current meds, etc.) to give you contextually aware answers. No re-uploads required. Symptom Correlation: It allows you to log symptoms locally so the AI can look for patterns between your subjective daily logs and your objective lab results over time. Privacy Philosophy: I wanted to prove that you can have a high-utility AI health assistant without the "Cloud Tax." The vault is stored locally on your machine. No data is stored on our server side. Note- Data is sent to the LLM which is not local yet to generate a response in the current version. Project Link: https://medisafe-eosin.vercel.app/