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Rishabh Raj's Projects

bitcoin-price-tracker icon bitcoin-price-tracker

An NodeMCU-based project that fetches and displays the real-time price of Bitcoin from the CoinDesk API on an OLED display

fir-alarm-using-nodemcu-esp8266-and-blynk-app icon fir-alarm-using-nodemcu-esp8266-and-blynk-app

This project is a fire alarm system that uses an ESP8266 microcontroller and Blynk app to detect and alert users of a fire. The system uses an infrared sensor to detect the presence of fire and a servo motor to trigger an alarm.

garbage-monitoring-module icon garbage-monitoring-module

This Arduino code implements a Garbage Monitoring Module using an Ultrasonic Sensor (HC_SR04), an LCD Display (16x2), and a Buzzer. The module is designed to monitor the level of garbage in a container and provide visual and audible feedback based on the fill level.

heart-disease-prediction-using-multiple-machine-and-deep-learning-models icon heart-disease-prediction-using-multiple-machine-and-deep-learning-models

This project aims to predict the presence of heart disease in patients based on various attributes such as age, sex, chest pain type, blood pressure, cholesterol level, etc. The project uses three different ML & DL models. The project can be direct run on google colab after uploading the dataset to the notebook in colab.

landing-gear-analysis-of-airbusa320-and-il76 icon landing-gear-analysis-of-airbusa320-and-il76

Landing Gear Analysis for Airbus A320 and IL76 including Equivalent Stress, Equivalent Strain, total deformation, safety factor, equivalent alternating stress, iso corrosion curves, life and damage analysis

smart-relay-system-with-blynk-app--proximity-and-sound-sensor icon smart-relay-system-with-blynk-app--proximity-and-sound-sensor

This project demonstrates a smart relay system that can be controlled using the Blynk mobile app. The relay can be operated based on inputs from a proximity sensor (infrared sensor) and a clap (sound sensor). The ESP8266 microcontroller is used to interface with the sensors and connect to the Blynk server.

soccer-analysis-and-visualization-using-vaep-and-xgboost icon soccer-analysis-and-visualization-using-vaep-and-xgboost

This project is a comprehensive Jupyter notebook (google colab notebook) designed for soccer analytics. It utilizes advanced libraries and frameworks to process and analyze soccer data, providing valuable insights into game strategies, player performance, and team dynamics.

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