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Name: Dhinagaran
Type: User
Name: Dhinagaran
Type: User
List of awesome reverse engineering resources
A FREE comprehensive reverse engineering course covering x86, x64, 32-bit ARM & 64-bit ARM architectures.
Learning RL for robots by doing
A modular, high performance, headless e-commerce platform built with Python, GraphQL, Django, and React.
This is same resume for data scientist year wise so that everyone can prepare there own resume with this reference
scikit-learn: machine learning in Python
This is an project to help social environment to increase its performance by solving the current social issue and problems based on the data available
We aim to develop a ‘Smart Speech Ecosystem’ that takes audio input, converts it to text and performs various analytical functions on it. Our project focuses on performing Sentiment Analysis on the input speech, extracting relevant data from the speech using NLTK and also, online opinion analysis of news headlines regarding a topic using 'Beautifulsoup'. First, we test the ‘SentimentIntensityAnalyzer’ model of ‘nltk.vader’ for accuracy of polarity scores Our project functions in 3 modes: 1.Speech Mode: takes speech input from the user and performs the following analytical functions using NLTK : Tokenization, PoS tagging, Word Lemmatization, Name entity tagging. Extracting emotions from speech and plotting the weightage of emotions using matplotlib. Constructing the sentence structure tree. Extracting person names from the speech. Web scraping Google news headlines for these names to determine online opinion about the person. 2.Opinion Mode: takes a topic name from the user and runs Web scraping of Google news headlines for this topic to determine online opinion about the topic. 3.Remote Mode: takes the speech input remotely from a Kivy based android app and runs the same analysis as speech mode. The audio input file is stored on an AWS S3 bucket by the app and is fetched by the python script.
Implementation of SHA-256
E-Commerce Platform
Simple Linear implementation with python
Simple-Quora-clone-in-Django
Smart agricultural system to recommend most profitable crops to farmers
This project includes monitoring temperature, humidity and moisture in agricultural field through sensors DHT11, YL69. It will turn ON/OFF motor on the basis of soil moisture and also visualise real time data by using ThingsBoard.
The project uses Arduino UNO with multiple sensors attached to it like Soil Moisture sensor, Photoelectric Diode Sensor,Humidity sensor etc that takes reading on a periodic basis.The mission of the project is to intimate the farmers or other stakeholders in predicting when the crop is about to deteriorate. This is accomplished by a Machine Learning Layer that has been modeled to identify the degradation of a crop's health before its degradation starts. It uses KNN-algorithm to cluster the crops according to the impeding eventuality.The next iteration identifies the most probable cause and thorugha UI intimates the stakeholder whta steps needs to be taken to prevent crop-failure
Farm2.0 is a smart project that allows to interact and improve the management of agricultural farms.
Smart IoT Planting System is a intelligence planting project consist of sensors,actuator,LoRa,gateway,cloud.
Fully automated agriculture system with auto watering mechanisms and decision making through ML based on weather patterns to decide whether or not to water a certain plant. Coupled with fully responsive web app for live tracking of Plant’s health and growth. Scalable to large plantations.
Speech recognition module for Python, supporting several engines and APIs, online and offline.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.