🌐 Language / भाषा

👋 Welcome to Self-Harm Risk Assessment (Deep ANN–powered)

Self-Harm Risk Assessment is a quick, confidential Self-Harm Risk Assessment screening tool that analyzes your responses using a Deep Artificial Neural Network (ANN) trained to detect patterns associated with emotional distress and risk.

📬 Contact & Collaboration
For questions, feedback, academic collaboration, or responsible use inquiries:
Dr. Vikas Gaur — drvikasgaur@gmail.com

🧠 Why this is NOT an ordinary mental-health scale

Traditional screening tools typically use fixed scoring rules (simple sums + thresholds). Self-Harm Risk Assessment uses a Deep ANN that, during training, self-learned complex relationships from the same 33 features, including:

  • Non-linear effects (a “Yes” may matter more only in certain combinations),
  • Feature interactions (two mild signals together can become meaningful),
  • Hidden response signatures that fixed scoring cannot represent.

This enables the model to capture patterns beyond ordinary scales.

🔒 Important: the model does not learn from your answers in real time while you use the app. It runs a fixed trained model to keep screening consistent and safe.

🔍 Explainable-AI style transparency

After your result, the app will show:

  • Which themes were activated (based on items you marked “Yes”), and
  • Which specific questions you marked “Yes” to under those themes, so you can see why the model is leaning toward a particular screening category.

⚡ High-throughput / mass screening (deployment-scaled)

Each assessment is a lightweight CPU inference. With proper deployment scaling (multiple instances/replicas + load balancing + adequate compute), the system can support large population screening programs (from thousands up to very large cohorts).

✅ How to use

  1. Click Start Screening
  2. Choose language (English/Hindi)
  3. Read the ethical notice and give consent
  4. Answer all 33 questions and submit

🛡️ Data is used only for this session and not stored permanently (unless the deployment adds storage). ⚠️ This is screening/education only — not a medical diagnosis.