Feat: Reflect deduplicated findings in the evidence pack

[Meeran-Dev]

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Linked issue

Closes #86

What this PR does

This PR updates the evidence pack generation to reflect deduplicated findings and surface deduplication metrics.

Type of change

• Bug fix
• New feature
• ML model / training pipeline
• Refactor (no behaviour change)
• Documentation
• Tests only

ML tier (if applicable)

• Tier 1 — Triage
• Tier 2 — Predictive
• Tier 3 — Autonomous
• Not ML-related

Stack affected

• Backend
• Frontend
• Both

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Changes

Backend

• Updated evidence_pack.py to build evidence packs from deduplicated findings
• Added fallback to use in-memory scan results when DB results are unavailable
• Added summary section line, e.g. Findings after deduplication: 12 (from 47 raw)
• Included related_files for each deduplicated finding so auditors can see the full file scope

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Testing

How did you test this?

Checklist

• Tested locally end-to-end (upload ZIP or GitHub URL → scan → findings returned correctly)
• New ML model falls back gracefully when model file is absent
• No new console.error or unhandled Python exceptions introduced
• Added or updated tests where applicable
• requirements.txt / package.json updated if new dependencies added
• New model files (.pkl, .pt, etc.) are gitignored, not committed

[github-actions]

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