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virus-v2's Projects

debug-thugs icon debug-thugs

A mobile based product which records the road quality in runtime and processes on algorithms indigenously. App made for HackInOut 2018.

dopia icon dopia

android application for detecting potholes using sensors in a smartphone

driving-profile icon driving-profile

Analyzing Android Accelerometer data captured while driving to detect Potholes and Rash turns

financial_time_series icon financial_time_series

A script to detect which financial time series is real verses which financial time series is fake. (stock price data)

fullstack-course4 icon fullstack-course4

Example code for HTML, CSS, and Javascript for Web Developers Coursera Course

human-activity-recognition-using-recurrent-neural-nets-rnn-lstm-and-tensorflow-on-smartphones icon human-activity-recognition-using-recurrent-neural-nets-rnn-lstm-and-tensorflow-on-smartphones

This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to speak out the results using text-to-speech API.

lotsofholes icon lotsofholes

An android application that detects potholes. This was a project won 3rd place overall at HackUMBC.

lstm-human-activity-recognition icon lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier

nimble_maps icon nimble_maps

A project to make maps more efficient by embedding potholes, noisy areas and illuminated areas.

pothole-avoider icon pothole-avoider

Pothole Avoider is an active safety system that warns the driver about the dangers he is going to face in the next road sections, based on his GPS position; so that he can anticipate to them and reduce the probability of suffering an accident. It is an android application that analyses the movements of the vehicle to detect incidences (potholes, curves and dangerous slopes) and share them with other drivers. The detection takes place automatically and is transparent to the driver, thanks to the analysis of the data provided by the movement sensors: Accelerometer and gyroscope, applying filters and artificial intelligence. This incidences are reported to a server which warns the other drivers about them. Using the reported incidences and weather condition, the application recommends a safe speed to drive at each road section. A prototype of the application has been developed.

pothole-detection icon pothole-detection

a real time android application which collects data , detects potholes and mark them on the map

pothole-project icon pothole-project

Detect Potholes from gyroscope and accelerometer data using mobile phone sensors

pothole_detection icon pothole_detection

Pothole detection system which uses a combination of Image processing and Accelerometer technology.

pothole_detector icon pothole_detector

The system aims at the detection and evaluation of road infrastructure botcheries and potholes using Arduino's sensors and GPS. The user evaluates the aforementioned botcheries and potholes using an Android application.All these data is stored in ThingSpeak platform.

roadlab-pro icon roadlab-pro

Mobile application for road surface quality measurement

roadquality icon roadquality

An Android app to make roads better by crowdsourcing road quality.

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