// Model your life 5 years ahead with autonomous predictive AI.

Visual Risk AI

An AI-based autonomous predictive intelligence system that runs 500-iteration Monte Carlo simulations to model risk, wealth compounding, academic momentum, and daily decision trajectories over a 5-year horizon.

#React#Next.js#TypeScript#Python#Node.js#SQLite#MongoDB#Google Gemini API
Visual Risk AI — case study by Sonu Kumar Suman (notysozu)

Sonu Kumar Suman (notysozu)

Problem

High-stakes life decisions—such as financial planning, study habits, and career moves—are often made without a clear understanding of their long-term compounding effects. Individuals struggle to visualize how daily adjustments to sleep, deep work, or savings will realistically impact their future trajectory, leading to subconscious "drift" rather than proactive growth.

Approach

We engineered a unified predictive loop connecting finances, daily habits, deep work, and learning goals into a cohesive Digital Twin. Utilizing Monte Carlo algorithms and probabilistic forecasting, we built a "What-If Butterfly Simulator" that allows users to stress-test long-term life adjustments before committing. The system was designed with calibrated role archetypes (Student, Professional, Founder, etc.) and an interactive calibration engine to observe direct 5-year compounding divergence in real time.

Outcome

The result is an interactive, tactile dashboard that visualizes a user's life 5 years ahead through 3D spatial simulation modeling. Users receive concrete projections for net worth, cognitive momentum, and deep work volume, alongside AI-calibrated recommendations for monitoring sleep debt and savings velocity with 1-click plan adoption.

All projects