Aravind S's Projects
This repository is dedicated to exploring and learning about the fascinating field of Artificial Intelligence (AI). This repository serves as my central hub for sharing knowledge and resources from my learnings.
Analyzing Swiggy : Bangalore delivery outlet data, Finding Relationship between dataset and creating a Dashboard
Google Data Analytics Professional Certificate program's Capstone project, of a bike sharing company
iNeuron Webscraper Python Project using beautifulsoup and flask
With Covid death and vaccine data. I have created a dashboard.
Project for quickly extracting the most important information from large blocks of text
Built an Flask app where user can search for any product's reviews listed on Flipkart website
Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.
Health Reminder is a python CLI application that uses pygame and plyer to remind the user to drink water, workout, and relax their eyes.
This repo contains work related to SenNet + HOA - Hacking the Human Vasculature in 3D competition.
Draft 1 of Language identification project (https://github.com/aravind-selvam/language_identification-using-cnn-and-audio-processing.git)
An Web application Language Identification project uses Pytorch and Torchaudio to accurately identify spoken language from audio files.
This project demonstrates the implementation of a ML pipeline and CI/CD using data on heart strokes. The pipeline includes data preprocessing, model training and evaluation, and deployment. The project leverages GitHub for version control and integration with GitHub actions for efficient and automated model updates.
This project is focused on demonstrating the integration of MLflow in a machine learning workflow
Repository for storing my NLP practice notebooks
Sample Machine learning project, The project uses Sklearn’s regression techniques such as XGboost and Random forests to train and test the model on student data. Deployed on Heroku with Flask application
This project utilizes machine learning techniques to predict the price of a used car in the Indian market using the Cardheko dataset.
Video Transcription and Summarization Web App using OpenAI's Whisper and BART.