About Me
Have experience in PythonBasic knowledge in HTML , Javascript and CSSBasic Knowledge in KotlinHave knowledge in GUI interface Tkinter in PythonHave Knowledge in Database/SQL using pandas and SQLlite in PythonHave knowledge in MS SQL serverHave Done D...
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Portfolio Projects
Description
This project is based on the event of a Landslide the authorities can receive a message and the barricadeswhich allows the traffic will be closed automaticallyIn this Module we Have a Hill unit and a Base unitThe Hill unit consists of a PIC16f877A , Humidity sensor to sense the moisture in the soil and andaccelerometer to sense any vibrationsThe base unit consists of a RF transceiver, PIC16f877A , a LCD display to show an alert , a GSM module tosend alert messages , and a motor to close the barricades
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As the number of vehicles increasing dayby-day, accidents are also increasing rapidly. These accidents can bedue to false estimation of nearby vehicles, disturbances in mind of driver or any reasons due to which drivercant keep focus on driving.The project is based on the accident. This system can measure the distance between the driving car and frontobject and can calculate the safety distance of driving car based on its current speedIf driver doesnt keep the minimum safety with front object, it will warn the driver to slow down the speed ofcar to avoid collision. And if the driver doesnt slow down the car, this system will automatically slows downand stop the car before the collision could occur
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Speech recognition technology is very useful in automation which not only gives you hands free control overdevices but also adds security to the system.Apart from making voice controlled gadgets, speech recognition also provides significant help to peoplesuffering from various disabilities.In this project, we are going to use machine learning to train a speech recognition model using Edge ImpulseStudio with three commands i.e. LIGHT ON, LIGHT OFF, and NOISE.We used Edge impulse studio previously to differentiate cough and noise sounds.As our goal is to control an LED with our voice command, we will need to collect voice samples for all thecommands and noise so that it can distinguish between voice commands and other Noises.
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