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| title: What Changed | |
| emoji: 📋 | |
| colorFrom: indigo | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 5.49.1 | |
| app_file: app.py | |
| python_version: "3.11" | |
| pinned: false | |
| license: apache-2.0 | |
| short_description: Local Parkinson's caregiver diary to a doctor report | |
| models: | |
| - zeon01/what-changed-1b | |
| # What Changed 📋 | |
| A private, **local** tracker that turns a caregiver's daily notes about a parent with | |
| **Parkinson's disease** into a one-page **doctor report** — running entirely on a fine-tuned | |
| **1B** model ([`zeon01/what-changed-1b`](https://huggingface.co/zeon01/what-changed-1b)) via | |
| llama.cpp. Nothing leaves the device. | |
| > **Not medical advice / not a medical device.** It organizes a caregiver's own observations | |
| > to share with a clinician; it does not diagnose, predict, or recommend treatment. | |
| ## How it works | |
| 1. **Log** a day in plain words — *"froze in the doorway, pill wore off before lunch"* — and the | |
| fine-tuned 1B extracts structured ratings + event counts. Decoding is **grammar-constrained**, | |
| so the output is always valid schema JSON. | |
| 2. **Trends** are computed by **deterministic Python** (rolling averages, decline streaks, event | |
| rates) — the model never touches the math, so it can't hallucinate a trend. | |
| 3. **Report** narrates the already-computed findings in plain language to bring to the doctor. | |
| A 1.08B model is enough because it only does two narrow jobs (note→JSON, and phrasing findings); | |
| the reasoning is all deterministic. That's what makes it run locally on plain hardware. | |
| *This demo is pre-seeded with a realistic 60-day decline arc so the Trends and Report tabs are | |
| populated. Built for the Build Small Hackathon.* | |