A real-time embedded system for intelligent sitting posture detection and monitoring using ESP32, machine learning, and multimodal sensor fusion to promote ergonomic health and prevent musculoskeletal disorders.

FlexLingo is a final year IoT project that serves as a flex sensor-based sign language translator. It uses Random Forest and BiLSTM models to interpret real-time hand gestures, translating them into spoken words or text via an Arduino smart glove and a React web interface.

Sensor-based prosthetic hand using Arduino Uno, flex sensors, and servo motors for real-time gesture replication.

Wearable Gesture-Controlled IoT for Two-Wheeled Delivery, a compact, low-power system (Arduino Nano / ESP32 + flex sensors + HC-05) that lets delivery riders accept/reject orders via natural hand gestures. Audio notifications play through a Bluetooth helmet, minimizing phone interaction and improving on-road safety.

Sign language recognition using flex sensors, gyroscope, accelerometer and raspberry pi mounted on glove

A wearable smart glove that translates Indian Sign Language gestures into speech using flex sensors, ESP32, and Random Forest ML.

Converts sign language gestures into speech using flex sensors and DFPlayer Mini on Arduino.

An assistive technology system enabling mute individuals to communicate through hand gestures. Uses flex sensors with Arduino to capture finger movements, KNN machine learning for real-time gesture classification, and text-to-speech for voice output. Supports 11 predefined phrases with expandable gesture library.