Aswin S's Projects
Building a Book predicter using Book Cover Image using OpenCV
Car Price Predicting using Machine Learning Model and flask implementation
Exploratory Data Analysis on Covd19 pandemic around the world using pandas, numpy and seaborn..
A cryptocurrency dashboard is a graphical user interface (GUI) or web application that provides real-time or historical data and analytics about various cryptocurrencies, their market trends, and other relevant information.
This project uses handwriting recognition to recognize the names of medicines from a doctor's prescription. This is done using a Convolutional Neural Network (CNN) developed using the Pytorch Framework and OpenCV.
This project revolves around the ability to recognise sensitive words within documents. To do this I am making use of Natural Language Processing (NLP) where the focus is on Named Entity Recognition which searches a body of text and classifies named entities into predefined categories.
This projects detect the faces as well as eyes in the webcam video using Harr Cascade Classifier and Eye Casecade Classifier using OpenCV Python
This projects defines how to detect the faces in an image using Haar Cascade face detector and this projects was fully implemented using OpenCV Python
This projects defines how to detect the handwritten digit in the image and display the number at the left top of the corresponding digit using HOG
This project contains the jupyter notebook and the data used for the Machine Learning C;lassification problem
Pytorch implementation of High-Fidelity Generative Image Compression
In this project we are given by the 10000+ images of dogs for both the train and the test data sets. We are suppose to predict the breed of the dog by training the model with dog image
Plant Classification using Random Forest Classifier which is trained by the plant images and thier mask images (ROI).
Rails friend is the web application which allows you to add, remove and modify your friends list and keep it organized
In this project, we have a dataset which contains 31000 tweets and its label. Our aim is to predict the labels (Positive, Negative or a Neutral Tweet) using the tweets. In order to get the correct labels we want do some functions on the tweets using NLTK.
Speech Emotion Recoginiton using CNN with LSTM which converts audio file into text related to the emotional audio
Tesla Stock Price Prediction using the techniques like Feature Extraction, Feature Importance, ARIMA, SARIMAX, Fourier Transform. Forecasting the future price of the Tesla Stock Price.
This projects defines how to detect the faces in the webcam as well as the video files using Harr Cascade Classifier and it is fully implemented using OpenCV Python
API used in Yoga Recommendation System
Yoga Recommendation System according to the user's medical conditions using Python Flask
Scrapping the Top trending videos on Youtube using Selenium and BeatuifulSoup