Mani Shankar Ravuru

• Developed a full-stack real-time healthcare monitoring dashboard for continuous patient vital monitoring and critical alert detection.
  
• Built an event-driven architecture using FastAPI, Python, React, Vite, and WebSockets for low-latency real-time data streaming.
  Implemented a physiological simulation engine using Gaussian drift models to generate realistic patient vital signs.
  
• Integrated NEWS2 (National Early Warning Score) clinical scoring for automated early detection of patient deterioration.

Assisted in GIS-based project coordination and geospatial workflow support
Worked with teams involved in mapping platforms and geospatial data services
Supported technical documentation and reporting for GIS solution deployments.
Coordinated with technical and client teams for project communication and updates.

• DEVELOPED A SMART BANDAGE SYSTEM TO ACCELERATE CHRONIC WOUND HEALING USING CONTROLLED ELECTRICAL STIMULATION TECHNIQUES.
• ASSISTED IN EMBEDDED SYSTEM DESIGN, MICROCONTROLLER PROGRAMMING, AND TESTING UNDER SIMULATED WOUND CONDITIONS.
• AIMED TO REDUCE HEALING TIME AND MEDICAL INTERVENTION THROUGH INNOVATIVE, TECH-DRIVEN WOUND CARE.

• WORKED ON THE "SMART BANDAGE FOR MONITORING CHRONIC WOUNDS" PROJECT, DEVELOPING AN IOT-BASED SYSTEM TO CONTINUOUSLY MONITOR WOUND PARAMETERS LIKE PH, TEMPERATURE, AND MOISTURE.
• CONTRIBUTED TO SENSOR INTEGRATION, DATA ACQUISITION, AND REAL-TIME ALERT MECHANISMS FOR EARLY INFECTION DETECTION.
• COLLABORATED WITH A MULTIDISCIPLINARY TEAM TO DESIGN A COST-EFFECTIVE PROTOTYPE SUITABLE FOR REMOTE AND ELDERLY CARE.