[WIP] Connect frontend, backend, and Python AI engine for HIRA app

[Copilot]

Thanks for asking me to work on this. I will get started on it and keep this PR's description up to date as I form a plan and make progress.

PHASE 4 — CONNECT EVERYTHING (CRITICAL)

Right now:

UI exists
AI exists
BUT → ❌ Not fully connected

👉 This is your #1 priority

🔥 PROMPT FOR YOUR AGENT

Paste this:

Connect frontend, backend, and Python AI engine for HIRA app.

Requirements:

1. Create API endpoints in Node.js:

   • POST /generate-plan
   • POST /meal-suggestion
   • POST /adjust-plan

2. Connect Node.js backend to Python FastAPI service.

3. From frontend:

   • Dashboard fetches daily plan
   • Workout screen loads exercises dynamically
   • Food screen loads meal suggestions
   • Daily Check-in updates intensity via API

4. Use Axios for API calls.

5. Ensure error handling:

   • fallback plan if API fails
   • loading states
   • retry mechanism

6. Maintain clean architecture:
   frontend → backend → python AI

Output:

• API routes
• service integration
• frontend API hooks
  🧠 PHASE 5 — REAL AI BEHAVIOR (MOST IMPORTANT)

Right now your AI is:
👉 basic / synthetic / rule-based

You need:
👉 REAL adaptive behavior

🔥 PROMPT FOR AGENT
Improve HIRA AI decision engine.

Enhancements:

1. Combine rule-based + scoring system:

   • sleep, stress, soreness → readiness score
   • adjust workout intensity dynamically

2. Add progressive overload logic:

   • increase sets/reps if user consistent
   • reduce if missed workouts

3. Add protein deficiency detection:

   • suggest specific Indian foods

4. Add workout variation:

   • avoid repeating same exercises daily

5. Store user history:

   • past workouts
   • past meals
   • trends

6. Output must include:

   • intensity
   • workout plan
   • explanation ("why this plan")

Make system deterministic and safe (no extreme suggestions).

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