feat(assistant): implement AI-powered research assistant suite with demo video and tests (Fixes #16)

[techsp13]

Fixes #16
/claim #16

🧪 AI-Powered Research Assistant Suite

This PR delivers a complete, self-contained, and deterministic implementation of the AI-Powered Research Assistant Suite addressing all core requirements of Issue #16 ($1,350.00 USD).

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🎥 Demo Video & Animation (Per Guidelines)

Full MP4 video artifact is located at ai-research-assistant-suite/reports/demo.mp4.

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🛠️ Summary of Capabilities

1. Auto Peer Review Engine (peer_review_engine.py)

• Evaluates manuscript clarity, structure, and abstract sizing.
• Detects statistical red flags: claims of significance without sample size ($N$) or exact p-values/confidence intervals.
• Enforces domain-specific validation checklists:
  • Molecular Biology: Controls, accession IDs, replicate counts.
  • Quantum Physics: System Hamiltonian, coherence fidelity ($T_1, T_2$), noise calibration.
  • Clinical Trials: Double-blind protocols, IRB ethical approval, placebo controls.
  • Computer Science: Hardware specs, baseline comparisons, random seed repeatability.

2. Reproducibility Sandbox Validator (reproducibility_checker.py)

• Sandboxes execution and verifies output consistency against baseline metrics.
• Checks dependency and version integrity (detecting missing/mismatched requirements).
• Assigns a deterministic Reproducibility Confidence Score (0 - 100).

3. Research Gap Discovery (research_gap_finder.py)

• Scans scientific literature for neglected intersections (e.g., "CRISPR + Alzheimer's + single-cell RNA-seq").
• Analyzes publication counts, replication ratios, and unresolved questions.
• Generates personalized research opportunity feeds tailored to researcher interests and lab capabilities.

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🧪 Test Verification

Executed full unit test suite with 100% pass rate:

Ran 8 tests in 0.003s — OK (0 Failures, 0 Errors)

✔ test_peer_review_flags_short_abstract_and_missing_p_values ... OK
✔ test_peer_review_domain_template_clinical_trials_success ... OK
✔ test_peer_review_domain_template_quantum_physics ... OK
✔ test_reproducibility_checker_verified_success ... OK
✔ test_reproducibility_checker_missing_deps_failure ... OK
✔ test_research_gap_finder_corpus_scan ... OK
✔ test_research_gap_user_feed_generation ... OK
✔ test_unified_assistant_suite_orchestrator ... OK

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💎 Algora Bounty Claimant

• GitHub: @techsp13
• EVM Payout Address: 0x01E7862BEd361b72784c0819AD68548D85A9ad49