Pinned Repositories
-Opensea-Platform-For-Skills
Air-Quality-and-Environment-Monitoring-System
An air quality (particulate matter) and environmental (Temperature,Humidity,Pressure) sensor system smart way to monitor environment is presented with different models in this project. In the proposed architecture functions of different modules were discussed. The noise and air pollution monitoring system with Internet of Things (IoT) concept experimentally tested for monitoring two parameters. It also sent the sensor parameters to the cloud. This data will be helpful for future analysis and it can be easily shared to other end users. This model can be further expanded to monitor the developing cities and industrial zones for pollution monitoring. This project is an efficient and low cost solution for continuous monitoring of environment
appwrite
Build like a team of hundreds_
AutoEncodersImageCompression
avatar-based-dynamic-chatbot-with-ai-and-ar-capabilities
Create an Avatar based dynamic chatbot powered with AI and AR capabilities.
awesome-WebVR
A curated list of awesome WebVR packages and resources.
AyudaTeam
delfin
delfin is the SODA Infrastructure Manager project which provides unified, intelligent and scalable resource management, alert and performance monitoring
Digital-Verse-Solutions
IPFS-for-WordPress
drraghavendra's Repositories
drraghavendra/Air-Quality-and-Environment-Monitoring-System
An air quality (particulate matter) and environmental (Temperature,Humidity,Pressure) sensor system smart way to monitor environment is presented with different models in this project. In the proposed architecture functions of different modules were discussed. The noise and air pollution monitoring system with Internet of Things (IoT) concept experimentally tested for monitoring two parameters. It also sent the sensor parameters to the cloud. This data will be helpful for future analysis and it can be easily shared to other end users. This model can be further expanded to monitor the developing cities and industrial zones for pollution monitoring. This project is an efficient and low cost solution for continuous monitoring of environment
drraghavendra/awesome-WebVR
A curated list of awesome WebVR packages and resources.
drraghavendra/BioSensors
drraghavendra/blockchain-carbon-accounting
drraghavendra/COVID19
drraghavendra/cw2981-contract-wide-royalties
drraghavendra/daml
The Daml smart contract language
drraghavendra/deploy-react-kubernetes
Built for developers who are interested in learning how to deploy a React application on Kubernetes, this pattern uses the React and Redux framework and calls the OMDb API to look up movie information based on user input. This pattern can be built and run on both Docker and Kubernetes.
drraghavendra/Free-Certifications
Curated list of free courses & certifications
drraghavendra/frontendQuickbytes
A repo containing real life frontend challenges which you can use to practice frontend!
drraghavendra/Hack4Rare
drraghavendra/image-to-text
drraghavendra/linux
Linux kernel source tree
drraghavendra/Mattermost-Netlify
drraghavendra/mattermost-server
Open source Slack-alternative in Golang and React - Mattermost
drraghavendra/nfhackathon
NF Knowledge Explorer - NF Hackathon project 2020
drraghavendra/Physics-Informed-Neural-Networks
Investigating PINNs
drraghavendra/plant-disease
prediction application
drraghavendra/plant-disease-1
Code for the paper On Using Transfer Learning For Plant Disease Detection
drraghavendra/Plant-Disease-Detection-1
Plant Disease Detection is one of the mind-boggling issues when we talk about using Technology in Agriculture. Although researches have been done to detect whether a plant is healthy or diseased using Deep Learning and with the help of Neural Network, new techniques are still being discovered. For Fewer Data Classical Machine Learning Models are said to outstand given the data is pre-processed well. On the same theory here is my approach for Detecting whether a plant leaf is healthy or unhealthy by utilizing the classical Machine Learning Models, Pre-processing the Image Data. The data was fed to 7 Machine Learning Models with 10 fold cross-validation out of which Random Forest Classifier outperformed all the other models giving an accuracy of 97% on the test set.
drraghavendra/Plant-Disease-Detection-2
Bases on Leaf images we are trying to predict plant disease using convolutional neural network. PyTorch implementation
drraghavendra/Plant-Diseases-Recognition
CNN classifier for recognizing plant diseases using Keras
drraghavendra/PnP
SharePoint / Office 365 Developer Patterns and Practices - Archived older solutions. Please see https://aka.ms/m365pnp for updated guidance
drraghavendra/Primrose
A syntax-highlighting text editors that renders to an HTML5 Canvas
drraghavendra/Sentiment-Analysis-Twitter
:mortar_board:RESEARCH [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.
drraghavendra/soil
drraghavendra/StackExchange.Redis
General purpose redis client
drraghavendra/the-pattern-api
API gateway for The Pattern
drraghavendra/Twitter_Sentiment_Analysis
Exploration of the Twitter API and sentiment & topic analysis on tweets relevant to COVID-19
drraghavendra/webvr-polyfill
Use WebVR today, without requiring a special browser build.