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ROADMAP.md
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# 🗺️ The 2026 Forensic Roadmap: AuthVision 2.0
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### Phase 1: The "Digital DNA" Core (Backend Engine)
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*Focus: Implementing the mathematical reality of an image.*
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* **Module A: PRNU Extraction (Sensor Fingerprinting):** Developing the logic to detect the unique "noise DNA" left by a physical camera sensor. If this noise is missing or uniform, it's AI-generated.
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* **Module B: Chromatic Aberration Analysis:** Interrogating how light bends through a lens. AI often renders light perfectly; real glass has slight "color fringing" at the edges.
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* **Module C: The Moiré Sieve:** Detecting the sub-pixel grid patterns that appear when someone takes a photo of a screen (Screen-recapture).
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### Phase 2: The "Biological Pulse" (Advanced Biometrics)
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*Focus: Detecting life in videos and high-res portraits.*
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* **rPPG Implementation:** Extracting the subtle skin color changes caused by a human heartbeat (Remote Photoplethysmography). AI "skin" doesn't pulse with blood; human skin does.
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* **3D Lighting Triangulation:** Checking if the shadows on the nose match the shadows on the ears based on the light source in the room.
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### Phase 3: The Hybrid Intelligence (Integrating v1.0)
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*Focus: Efficiency and Speed.*
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* **The "Fast-Pass" Layer:** Integrating your existing MongoDB Atlas cache. Before running heavy physics math, the system checks if this image is already a known viral fake.
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* **XAI (Explainable AI) Judge:** Instead of just saying "Fake," the system generates a technical audit report (e.g., "Error: Shadow depth mismatch at coordinates (x,y) indicates synthetic lighting").
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### Phase 4: The "Edge-First" Frontend (Vercel)
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*Focus: User Experience for Ramesh.*
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* **WASM Offloading:** Moving the "Lightweight" checks (Metadata and EXIF) to the browser to make the app feel instant.
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* **The "Progressive Loader":** Building the UI that keeps Ramesh engaged while the Hugging Face engine "wakes up."
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### Phase 5: Deployment & Ethical Hardening
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*Focus: Stability and Professionalism.*
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* **Git-Ops Workflow:** Automating the push from your local machine to Hugging Face so the engine is always updated.
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* **C2PA Standards:** Adding "Content Credentials" to the final report so Ramesh's news agency can trust the verdict.
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---
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### 📊 Deployment Strategy (Zero-Card Stack)
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| Component | Platform | Role |
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| :--- | :--- | :--- |
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| **Logic Engine** | Hugging Face | Runs the heavy Java/ONNX math. |
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| **User Interface** | Vercel | Handles the React dashboard for Ramesh. |
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| **Viral Memory** | MongoDB Atlas | Stores the old v1.0 semantic embeddings. |
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| **Orchestrator** | GitHub Actions | Syncs your code across all platforms automatically. |
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target/classes/com/authvision/AuthVisionApplication.class
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Binary file (1.07 kB). View file
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