Avani Pandit

A dedicated and enthusiastic engineer with cognizance of Industry 4.0 and parallel degrees in core Electrical/Electronics and Data Science. Profound interest in Power Systems, Power Electronics, Cybersecurity and Bio-Technology.

• Wearable Lung Health Monitoring Device – Developed a compact, non-invasive wearable system for real-time lung monitoring. Integrated sensors (bioimpedance, acoustic, temperature, motion) with microcontroller-based processing, AI algorithms, and IoT connectivity for predictive analysis and health alerts for people prone to asthma.

Technologies Applied: ESP32 MCU, AD5933 + INA826 signal chain, MEMS audio sensing, temperature & motion sensors, BLE, Python ML stack (TensorFlow, Scikit-learn), Streamlit dashboard, Twilio API integration

• Underground Cable Fault Detection System – Designed and implemented an electrical diagnostic system to detect and locate faults in underground power cables. Utilized signal injection, measurement, and analysis techniques for accurate fault localization via the concept of Time Domain Reflectometry (TDR)

Technologies Applied: ESP32, signal injection circuit, voltage & current sensors, op-amp signal conditioning, ADC sampling, relay drivers, TDR waveform acquisition, Python/MATLAB analysis tools, LCD display.

• Motion Sickness Relief Device – Engineered a wearable system to mitigate motion sickness using controlled motion stimuli. Combined embedded electronics, real-time motion sensing, and feedback algorithms to enhance user comfort and safety.

Technologies Applied: ESP32, MPU6050 motion sensing, vibration/actuation drivers, PWM control, BLE, real-time feedback firmware, Li-Po battery system.

• Smart Waste Management System for IIIT Hyderabad Smart Living Lab- Designed an IoT-enabled smart waste bin monitoring system using ESP32, ToF sensors, and LoRaWAN for long-range, low-power data transmission. Built a cloud-based analytics pipeline (MQTT + time-series DB) to process real-time bin telemetry and implemented a clustering + TSP-based route optimization engine that reduced collection distance and fuel usage.

Technologies Applied: ESP32, ToF/ultrasonic sensors, tilt sensor, LoRaWAN, MQTT, Python backend, TSP routing algorithm, Streamlit dashboard, Li-ion low-power system.

• Cybersecurity of PowerGrids, IISc Bangalore- Completed a technical workshop on Cyber Security of Power Grids at IISc Bangalore, including practical sessions on adversarial defense, threat modeling, and resilient protection schemes for grid infrastructure.