🩺 FYP Tracker

Health & Wellness App · Django + PostgreSQL · Agentic AI

Overall Progress 4 / 68 tasks complete (5%)

🗓 Target: May 3, 2026

Foundation + User Management

Mar 24 – Mar 30

⚙️ Project Setup

Django project created (jn_fyp)

requirements.txt set up (Django, DRF, psycopg2, Celery, Redis, dotenv)

Django REST Framework installed & configured in settings.py

Custom Token authentication class set up

Remove uuid from INSTALLED_APPS — it's a Python stdlib, not a Django app (will break migrate)

Create user app: python manage.py startapp user — it's in INSTALLED_APPS but folder doesn't exist yet

Update settings.py DB config to local PostgreSQL (via .env file)

py manage.py migrate runs successfully

① User Management Module

User Registration API endpoint

Forgot Password / Reset Password flow

User Profile Setup (age, gender, height, weight, lifestyle)

Goal Management (step goal, sleep goal, stress goal)

Profile Management — update profile & edit goals

RBAC — Admin vs User role defined

Physical & Mental Health Tracking

Mar 31 – Apr 6

② Physical Health Tracking Module

Manual input API — Steps, Calories, Sleep hours, Weight

Blood pressure input (optional field)

Daily, weekly, monthly trend chart data API endpoint

Anomaly detection logic (abnormal sleep, low activity, trend detection)

③ Mental Health Tracking Module

Daily mood check-in API (emoji mood input)

Stress rating (1–10 scale) input & storage

Short journal entry (optional text) stored per day

AI Sentiment Analysis on journal text

Mental pattern detection — stress pattern, mood decline, burnout signals

Agentic AI Health Assistant + Dashboard

Apr 7 – Apr 13

④ Agentic AI Health Assistant (核心创新)

LangChain agent setup (ReAct pattern) with preferred LLM

Autonomous Monitoring Agent — auto-scan sleep, mood, steps, stress

Autonomous Task Planner — generate health tasks (breathing, early sleep, walking)

Reasoning-based Recommendation Engine (combine sleep+mood+stress → advice)

Conversational AI Coach — motivational interviewing + habit reinforcement

Goal Optimization Agent — auto-adjust goals based on user performance

AI Personality Selection (Friendly Coach / Strict Trainer / Calm Therapist)

⑤ Dashboard & Data Visualization Module

API endpoints for dashboard data (aggregated health stats)

Interactive charts — sleep, mood, step trends, stress heatmap

Overall Health Index gauge/score calculation

AI weekly summary display (e.g. 'Your stress improved by 12% this week')

Smart Reminder + Health Resource + Admin Panel

Apr 14 – Apr 20

⑥ Smart Reminder & Adaptive Notification Module

Regular reminders — drink water, walk, sleep time

Agentic-triggered JITAI alerts (stress up 3 days → send break reminder)

Habit nudges — AI-generated behavioural nudges + habit reinforcement

⑦ Health Resource Centre

Health articles model & API (CRUD)

Category filtering — sleep, stress, exercise, nutrition

Save / bookmark articles feature per user

Seed some sample articles for demo

⑧ Admin Panel

Admin-only dashboard — user statistics & health trends charts

Article Management — upload, edit, delete articles

RBAC enforced on all admin endpoints

User management — manage accounts, deactivate users

Personalization + Female Health + Integration

Apr 21 – Apr 27

⑨ Personalization Layer

Theme customisation — light / dark mode toggle

Color theme selection (user preference saved)

Avatar / Coach style selection (male, female, neutral AI)

⑩ Female Health Tracking (Optional)

Menstrual cycle tracking — period log & cycle prediction

Symptoms tracking — cramps, mood swings per cycle day

Cycle insights display in dashboard

🔗 Integration & End-to-End Testing

All modules connected end-to-end (frontend ↔ backend APIs)

AI agent correctly reads user data & triggers actions

RBAC tested — admin routes blocked for regular users

API responses tested with Postman or similar tool

Fix critical bugs found during integration

Final Polish, Testing & Submission Prep

Apr 28 – May 3 🏁

🧪 Final Testing

User acceptance testing — full user journey from register to AI feedback

Edge case testing — empty data, invalid inputs, zero history

AI agent stress test — responds well with various data patterns

✨ Polish

UI polish — clean up styling, fix layout issues

Seed demo data for presentation (sample user with health history)

Make sure all features are demo-able in under 10 minutes

📄 Documentation & Submission

Write FYP report / documentation (system architecture, modules, AI logic)

API documentation (list all endpoints, request/response format)

Prepare demo slides or video walkthrough

Final code review & clean up (remove test data, unused imports)

Submit on or before May 3 ✅

💡 Tips Fix the two settings.py issues first — remove uuid from INSTALLED_APPS and run startapp user. Build each module as a Django app (models → serializers → views → URLs). Prioritise the Agentic AI early — it's the core innovation. Female Health Tracking is optional if time is tight. Commit often!