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JaiPrakashVI/README.md

01 / SIGNAL

Computer Science → Software Engineering → Intelligent Systems

I work across the boundary between software engineering and applied AI.

Not particularly interested in collecting technologies.
More interested in understanding a problem deeply enough to build the system around it.


02 / SELECTED SYSTEMS

System What it explores
CrySense Audio → MFCC → ML classification → interpretation
RailTwin-Q Railway network → Digital Twin → prediction → optimization
Nova Local LLM → memory → tools → autonomous workflows
FlowZint Conversation → intelligence → revenue action

03 / STACK


04 / CURRENT DIRECTION

AI Engineering
LLMs · RAG · Agents · NLP · Intelligent Systems

Software Engineering
DSA · Backend · APIs · Distributed Thinking

Research
Optimization · Digital Twins · Applied Machine Learning

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  1. nexus-decision-engine nexus-decision-engine Public

    A real-time adaptive digital twin and decision engine combining secure telemetry streaming, state reconstruction, failure simulation, and local agentic AI.

    Python 1

  2. AI-Human-Activity-Recognition-Space AI-Human-Activity-Recognition-Space Public

    AI-powered human activity recognition and SOP compliance monitoring for astronauts performing experiments in microgravity, using multimodal sensing, edge AI, and anomaly detection.

    Python

  3. flow-zint flow-zint Public

    TypeScript

  4. RailTwin-Q-Zero-Delay-in-Railways RailTwin-Q-Zero-Delay-in-Railways Public

    HTML

  5. taskly-saas taskly-saas Public

    Project & Task Management for Freelancers

    TypeScript

  6. Cry-Sense-ML Cry-Sense-ML Public

    JavaScript