Project

Green synthesis is a process that uses natural compounds instead of toxic chemicals to synthesize materials/nanomaterials. Green synthesis is a more advanced method of synthesizing nanomaterials over other methods because of its simplicity, lower cost, and relatively higher reproducibility. Plants produce more stable nanoparticles compared to other means, and it is straightforward to scale up. The risk of contamination is also lower. In this project we synthesized different metal oxide nanoparticles and characterized that by SEM, EDX, XRD and find out potential applications in the field of biomedical engineering.

Inability to talk is considered to be true disability. According to World Federation of the Deaf (WFD), there are approximately 70 million deaf & mute people. People with this disability use different modes to talk with others, there are n number of methods available for their communication one such common method of communication is sign language. Sign language plays a major role for dumb people to communicate with normal people. According to World Federation of the Deaf (WFD), there are approximately 70 million deaf & mute people. We developed a smart hand talk system through which, hand gestures provided by the user will give text & speech output and send the output for the response.

The aim of this project was to establish a telemonitoring system for COVID patients. This system uses a respiration sensor, oxygen saturation sensor, temperature sensor, heart rate sensor, GPS. All the sensors, as well as GPS, are connected with Arduino-Uno. By processing sensor data, the smart system can discern the patient's critical condition and forward this information to the doctor/nurse or hospital in charge and patient relative's smartphone as a text message.

The objective of this project is to facilitate the movement of people who are disabled or handicapped. It was developed to save cost, time, energy and dependence on the others. Speech recognition technology is used to move the wheel chair. In this project the voice command is given through a smart phone device (android system) having Bluetooth and the command is transferred and converted to the string for Arduino and is transferred to the Bluetooth Module HC-05 connected to the Arduino board for the control of the Wheelchair. The circuit works properly to move as the command given by the user. The voice recognition system worked for most of the commands (over 80%). 

Line Follower Robot (LFR) is a simple autonomously guided robot that follows a line drawn on the ground to either detect a dark line on a white surface or a white line on a dark. The LFR circuit consists of mainly four parts: Two IR sensors, one motor drive, two motors, one Arduino, a battery and few connecting wires. The Infrared sensors (IR) sensor gives our robot the ability to detect lines or nearby objects. Infrared sensors consist of two elements, a transmitter and a receiver. The transmitter is basically an IR LED, which produces the signal and the IR receiver is a photodiode, which senses the signal produced by the transmitter. The IR sensors emits the infrared light on an object, the light hitting the black part gets absorbed thus giving a low output but the light hitting the white part reflects back to the transmitter which is then detected by the infrared receiver, thereby giving an analog output. Using the stated principle, we control the movement of the robot by driving the wheels attached to the motors, the motors are controlled by a microcontroller.