chore(cleanup): purge runtime logs, obsolete scripts, and raw PDFs while preserving sample NEET/JEE testing datasets

backend/pdf_parser.py

@@ -1,21 +0,0 @@
-"""
-pdf_parser.py — PDF-to-Question AI Parser
-STATUS: DEFERRED — Phase 2 (AI Coach LLM integration)
-
-This module will use PyMuPDF to extract text from uploaded PDFs and pass it
-to an LLM to structure questions into the database JSON schema.
-
-When ready to enable:
-1. Add `PyMuPDF==1.23.26` and `openai==1.14.0` back to requirements.txt
-2. Set LLM_BASE_URL, LLM_MODEL_NAME, OPENAI_API_KEY in backend/.env
-3. Replace this stub with the full implementation.
-"""
-from typing import List, Dict, Any
-
-
-async def parse_pdf_to_questions(pdf_bytes: bytes, exam_pattern: str) -> List[Dict[str, Any]]:
-    """
-    Stub: returns empty list. Real implementation uses PyMuPDF + LLM JSON extraction.
-    Replace in Phase 2 once LLM infrastructure is provisioned.
-    """
-    return []

backend/worker.py

@@ -4,7 +4,7 @@ Active Tasks:
   - generate_daily_study_plans: Runs daily at 5:00 AM IST via Celery Beat
 
 Deferred (Phase 2 — AI LLM):
-  - process_pdf_test: PDF → LLM → Questions pipeline (stubbed in pdf_parser.py)
+  - process_pdf_test: Automated PDF → LLM → Questions pipeline
 """
 import os
 from datetime import datetime