Deepankar Varma's Projects
This repository contains Python code for an age and gender detection project using the video stream from the camera. The model is trained on the UTKFace dataset and utilizes deep learning techniques for accurate age and gender estimation. The code includes scripts for data preprocessing, model training, and real-time detection from the camera.
Database comprises of the data related to its employees, services, aircraft models, about the maintenance of the companyβs aircrafts.
This repository contains Python code for a project that performs American Sign Language (ASL) detection using multiclass classification. It utilizes YOLO (You Only Look Once) and MobileNetSSD_deploy for object detection, achieving an accuracy of 91%. The code offers options to predict signs from both images and videos.
This repository contains a Python application built with Streamlit that allows users to remove the background from uploaded images. It utilizes computer vision techniques and the rembg library to automatically remove backgrounds, providing users with a seamless and efficient solution.
This repository contains a basic calculator implementation using Python and hosted on Streamlit. It provides a simple user interface to perform arithmetic calculations.
This Git Cheatsheet provides a quick reference for some of the most commonly used Git commands. It covers the essential commands that developers use while working with Git on a daily basis.The Git Cheatsheet is an excellent resource for developers to improve their productivity while working with Git.
This repository contains code for building a model that can detect breast cancer based on various features of the tumor cells. The model uses logistic regression with data scaling to obtain an accuracy of 98.24% on the test set.
Brick Breaker is a classic arcade-style game in which the player controls a paddle that moves horizontally across the bottom of the screen to bounce a ball upward and break a wall of bricks located at the top of the screen. Basic controls are βaβ to move paddle left,"d" to move paddle right, "s" to start, "r" to reset and "q" to quit the game
College Saathi dedicates itself to solving the various daily necessity inside a college campus.Consists of facilities such as vendor details, important college contacts, etc.
Empowering drivers to efficiently manage e-rickshaw ride requests, the College Saathi Driver App is a cross-platform Flutter application. Boasting a dynamic UI, dual themes, Firebase for authentication and real-time communication, and ongoing payment integration, it provides a streamlined platform for drivers.
Revolutionizing campus travel, the College Saathi Rider App is a cross-platform Flutter application for seamless e-rickshaw booking. With a dynamic UI, dual themes, Firebase for authentication and real-time communication, and ongoing payment integration, it elevates the campus commuting experience.
Face recognition is the problem of identifying and verifying people in a photograph by their face. It is a task that is trivially performed by humans, even under varying light and when faces are changed by age or obstructed with accessories and facial hair. Face recognition has remained an active area of research in computer vision.
This is a Python app built using the Streamlit library and the forex-python package for currency conversion. The app provides a user-friendly interface to convert an amount from one currency to another. Users can input the amount, select the currency to convert from & the currency to convert to, then click on the 'Convert' button to get the amount.
Convolutional Neural Networks
Website to implement a system that will help to establish a strict and punctual work schedule among the employees.
This repository hosts a basic implementation of a decentralized voting application using blockchain technology. The application has been developed using Python and leverages the hashlib library for hashing operations and utilizes the system time for generating timestamps.
Config files for my GitHub profile.
This repository contains the code for a machine learning project - Diabetes Prediction. In this project, a model is built to find the relationship between the features and the associated outcome and classify the patient as Diabetic or Non-Diabetic. The Gaussian Naive Bayes Classifier Model is used for this purpose.
This repository showcases a comprehensive implementation for downstreaming CIFAR-10 dataset utilizing a pretrained Vision Transformer (ViT) model along with a tailored custom architecture. Leveraging the power of ViT, which has shown remarkable performance in various computer vision tasks, this project fine-tunes the pretrained model on cifar-10.
This repository contains an extract, transform, load (ETL) system implemented in Python. The system is designed to perform parameter sensitivity analysis by plotting the execution time of different file sizes and the number of records in a file with the total time taken for the process.