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Dhinagaran's Projects

saleor icon saleor

A modular, high performance, headless e-commerce platform built with Python, GraphQL, Django, and React.

same-resume-year-wise icon same-resume-year-wise

This is same resume for data scientist year wise so that everyone can prepare there own resume with this reference

scspi icon scspi

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

sentiment-analysis-of-speech-using-nlp-with-android-connect-feature-and-web-scraping icon sentiment-analysis-of-speech-using-nlp-with-android-connect-feature-and-web-scraping

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.

smart-agriculture icon smart-agriculture

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.

smart-agriculture-using-iot-and-machine-learning icon smart-agriculture-using-iot-and-machine-learning

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

smart-farm- icon smart-farm-

Farm2.0 is a smart project that allows to interact and improve the management of agricultural farms.

smart-iot-planting-system icon smart-iot-planting-system

Smart IoT Planting System is a intelligence planting project consist of sensors,actuator,LoRa,gateway,cloud.

smart-plant-management-agriculture-system icon smart-plant-management-agriculture-system

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 icon speech_recognition

Speech recognition module for Python, supporting several engines and APIs, online and offline.

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