Feature/udemp media pipeline

[SatyamPandey-07]

1. Core Pipeline Infrastructure
   backend/models/media_payload.py
   : Created a centralized database model to track all media uploads (DISEASE, SOIL, CROP, etc.) through their lifecycle (Pending -> Processing -> Completed/Failed).
   backend/services/pipeline_service.py
   : The central orchestrator handling:
   Ingestion: Secure file saving, metadata validation, and database registration.
   Dispatch: Triggers specific Celery tasks based on payload type.
   Result Attachment: Updates the payload with processing results and notifies the user via WebSockets.
   backend/utils/validators.py
   : A cross-module validation utility ensuring strict file integrity (MIME type, size, extension) and metadata completeness before processing begins.
   backend/api/ingestion.py
   : A standardized REST API endpoint (POST /api/v1/ingest/upload) for all media submissions, replacing disparate upload handlers.

2. Module Integration & Refactoring
   backend/tasks/processing_tasks.py
   : Implemented the unified worker logic. It dynamically loads specialized modules (Disease, Soil) only when needed to optimize memory usage.
   Disease prediction/app.py
   : Refactored the standalone Flask app to act as a proxy to the main UDEMP pipeline. It preserves the existing frontend templates (index.html, result.html) but forwards all prediction requests to the centralized backend, ensuring data consistency and auditability.
   Soil Classification Model/main.py
   : Created a standardized Python wrapper for the soil classification logic (previously locked in notebooks), allowing the backend to programmatically invoke soil analysis.

3. System Integration
   app.py
   : Registered the new ingestion_bp blueprint to expose the pipeline API.
   backend/models/
   init
   .py
   : Registered the
   MediaPayload
   model for database migrations.

closes #1459

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