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arathyjeevan

arathyjeevan.github.io

autoconnect

Last mile transportation is a concerning issue in several cities in the country. This is due to lack of infrastructure and the lack of information services. Economy is governed by the Demand and Supply equilibrium. We believe that we can design a system that can inform the Auto-Rickshaw drivers of the demand in advance. Consider an example of a traveler on a bus. The booking for the seat on the bus is done 30 days to 7 hours before departure. Considering situational delays, the bus arrives at the destination close to the predicted time of arrival. In this situation, The Auto-Rickshaw drivers of the Destination city can be informed in advance about the number of passengers arriving at said destination at said time. This Matches the Demand with the Supply through an apt bridge of information provided by our system. This system proves to be beneficial for the travelers as well as the Auto-Rickshaw drivers who can get an assurance of a trip in advance

awesome-profile-readme-templates

A collection of awesome readme templates to display on your profile

chatbot_healthcare

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-19_italy_data

Sentiment analysis; completing covid dataset with social media dataset

data-preprocessing

data_scientist_salary_prediction

datacamp_datascientist_projects

detection-of-parkinson-s-disesase-using-voice-impairments-with-ml-and-lstm

Several studies have been carried out to analyse Parkinson’s disease using speech impairments. Various tools and techniques have been used on speech signals to accurately predict Parkinson’s in an individual. In this paper, we have proposed to use various Machine Learning techniques to compare results and predict PD. We have found that Deep Learning gives extremely accurate results over tremor data of individuals (both healthy and PD patients). So, we not only run various Machine Learning techniques that have been used for speech processing, we also run a Deep Learning model on speech data since it produced better results over tremor data that is analogically similar to speech data.

docker-curriculum

:dolphin: A comprehensive tutorial on getting started with Docker!

farmer-assitant

Farmer's Assistant

first-contributions

🚀✨ Help beginners to contribute to open source projects

hacktoberfest2019

Happy Hacktober! :octocat: This is a beginner friendly repository made specifically for Hacktoberfest that helps you get your first PR.

heart_disease_prediction

Heart Disease Prediction using ML Algorithms

hello-world

lm35

A Smart Temperature Monitor that monitors real time temperature.

major-project

nn-zero-to-hero

Learning to building neural networks from scratch

observations

parkinson-classification

Classifying SPECT scans of Parkinson's Disease

parkinson-detection

A machine learning approach to detection of Parkinson's disease.

parkinson-s-diagnosis

proposed early detection method for parkinson's disease using deep learning on MRI dataset

personal_website

pic16f887

Basic programs to get started with PIC16f887A Microcontroller

rfid

road-condition-monitoring-network

The solution that we have devised suggests the deployment of a city-wide sensor network in the form of a sensor package mounted to State/City Administration owned vehicles for the detection of pot-holes.

scraping-glassdoor-selenium

Jupyter Notebook from Selenium Tutorial: Scraping Glassdoor.com"

sensorexamples

A collection of examples on how to interface sensors to Arduino microcontrollers