Pinned Repositories
Accent-Classification-And-Conversion
Tackle accent classification and conversion using audio data, leveraging MFCCs and spectrograms. Models differentiate accents and convert audio between accents
Applied-Machine-Learning-MDS202214
Repository containing Assignments of Applied ML course (CMI Jan-May 2024)
Detecting-Insurance-Fraud
Develop a classifier to differentiate between real and AI-generated images of damaged cars, identifying actual accidents from fraudulent ones.
Flood-Detection
Utilize a MobileNetV2 encoder and Pix2Pix decoder to perform precise semantic segmentation, distinguishing objects in images, such as identifying flooded areas in flood images. The purpose is to enable accurate object delineation for applications like disaster response and environmental monitoring.
Movie-Ticket-Booking-App
Created a ticket booking system with a Vue.js frontend and Python backend to manage theaters, shows, and bookings. Implemented email notifications and utilized Celery and Redis for background tasks.
Optimizing-Operations-and-Sales-Strategies-for-a-Small-Business
Analyzing Holla's Fresh, a store in an apartment complex, this project assesses COVID-19's impact, proposes recovery strategies, and offers insights to enhance inventory management and sales.
Pool-Testing-For-COVID-19
We explore pool testing strategies for SARSA COVID-19 and allow us to build testing scenarios that allows us to use m tests to diagnose n patients; m<n
Quantified-Self-App
This project involves the development of a quantified self app for tracking various personal metrics and visualizing the data. The purpose is to enable users to create, update, and log trackers for different activities, and visualize their progress through graphical representations.
Quantile-Regression
We learn the basics of quantile regression and how to implement it in R
Real-vs-Fake-Image-Classification
Employ deep learning and transfer learning techniques to classify images as "fake" or "real," ensuring authenticity preservation.
Arvind2903's Repositories
Arvind2903/Accent-Classification-And-Conversion
Tackle accent classification and conversion using audio data, leveraging MFCCs and spectrograms. Models differentiate accents and convert audio between accents
Arvind2903/Detecting-Insurance-Fraud
Develop a classifier to differentiate between real and AI-generated images of damaged cars, identifying actual accidents from fraudulent ones.
Arvind2903/Flood-Detection
Utilize a MobileNetV2 encoder and Pix2Pix decoder to perform precise semantic segmentation, distinguishing objects in images, such as identifying flooded areas in flood images. The purpose is to enable accurate object delineation for applications like disaster response and environmental monitoring.
Arvind2903/Real-vs-Fake-Image-Classification
Employ deep learning and transfer learning techniques to classify images as "fake" or "real," ensuring authenticity preservation.
Arvind2903/Applied-Machine-Learning-MDS202214
Repository containing Assignments of Applied ML course (CMI Jan-May 2024)
Arvind2903/Movie-Ticket-Booking-App
Created a ticket booking system with a Vue.js frontend and Python backend to manage theaters, shows, and bookings. Implemented email notifications and utilized Celery and Redis for background tasks.
Arvind2903/Optimizing-Operations-and-Sales-Strategies-for-a-Small-Business
Analyzing Holla's Fresh, a store in an apartment complex, this project assesses COVID-19's impact, proposes recovery strategies, and offers insights to enhance inventory management and sales.
Arvind2903/Pool-Testing-For-COVID-19
We explore pool testing strategies for SARSA COVID-19 and allow us to build testing scenarios that allows us to use m tests to diagnose n patients; m<n
Arvind2903/Quantified-Self-App
This project involves the development of a quantified self app for tracking various personal metrics and visualizing the data. The purpose is to enable users to create, update, and log trackers for different activities, and visualize their progress through graphical representations.
Arvind2903/Quantile-Regression
We learn the basics of quantile regression and how to implement it in R
Arvind2903/Sample-Classification-Using-openCV
This project focuses on classifying samples as positive or negative based on color analysis using OpenCV. The purpose is to automate the classification process of biosamples treated with a dye, determining their status based on color intensity.
Arvind2903/Social-Media-Application
This project involves developing a lightweight blog application, BlogLite, which includes user authentication, post creation, and social features. The purpose is to provide a simple, yet fully functional platform for users to share posts, follow others, and manage their profiles.
Arvind2903/Student-Monitoring-and-Support
Developed machine learning models to classify students into dropout, enrolled, and graduate categories based on anonymized demographic and academic data, aiming to enhance student monitoring and support systems in higher education institutions.
Arvind2903/Visualization-Project
The project provides a comprehensive visualization and analysis of the World Happiness Report data from 2015 to 2019. Through various visualizations, it explores the key factors influencing global happiness and highlights trends over time.
Arvind2903/Web-Scraping-And-Data-Transformation
This project showcases various Python scripts for web scraping and data transformation, enabling extraction and cleaning of data from websites and manipulation using Excel and Pandas. The aim is to facilitate effective data collection and transformation for analytical purposes.