Deepankar Varma's Projects
This repository contains code for comparing the performance of three different ELT (Extract, Load, Transform) methods on CSV files of different sizes. The three methods are implemented in Python using different approaches and libraries, and their execution times are compared and plotted for analysis.
This repository contains Python code for a face mask type detection project using multiclass classification. The project focuses on classifying different types of face masks, including cloth face masks, N95 face masks, N95 face masks with valves, surgical face masks, and images without any face masks.
This repository contains a Python script that simulates views on a GitHub profile by repeatedly reloading the profile page. The script uses the selenium and requests libraries to fetch the content of the profile page and then reloads the page in a headless Firefox browser.
This repository contains Python code for generating a fire detection model and utilizing it to detect fire from user-uploaded images. The model architecture consists of convolutional and pooling layers, followed by fully connected layers. The repository includes scripts for training the model and predicting fire from uploaded images.
All course files for the Flutter & Firebase tutorial playlist on The Net Ninja YouTube channel
From crafting dynamic front-end interfaces using HTML, TWCSS (Tailwind CSS), and JavaScript, to building robust back-end functionalities with Django and managing data in PostgreSQL, this repository encapsulates my growth as a full stack developer.
Implemented google calendar integration using django rest api. Used the OAuth2 mechanism to get users calendar access
βTechAgroβ will inherit information from the user about him and his field. This information will be further analysed and processed by the backend(Firebase) of the app & will be conveyed to the user depending upon his requirements.
This repository contains Python code for handwritten recognition using OpenCV, Keras, TensorFlow, and the ResNet architecture. The project utilizes two datasets: the standard MNIST 0-9 dataset and the Kaggle A-Z dataset. The OCR model is trained using Keras and TensorFlow, while OpenCV is used for image pre-processing.
Hostel Management System (In Progress)
This is a simple web application built with Python and Streamlit that allows users to upload an image and resize it to their desired dimensions. The app displays the original size of the image and provides sliders to adjust the new width and height. The user can also choose to preserve the aspect ratio of the original image.
Library Management System is by librarian and students to access or manage the library using a computerized system where he/she can record various transactions like issue of books, return of books, addition of new books, addition of new students etc.
This project is a command-line tool that allows users to download multiple music videos from YouTube, convert them to audio, trim them to a specified duration, and merge them into a single audio file. It also includes a feature to send the final audio file to a specified email address.
This repository contains code for predicting the price of mobile phones using regression models. It includes the implementation of various regression techniques such as Random Forest Regression, Decision Tree Regressor, Linear Regression, and Lasso Regression.
This repository contains code and dataset for a multiclass image classification model to detect monkeypox using the ResNet50 architecture. The project focuses on classifying skin lesion images into different categories related to monkeypox, achieving 100% accuracy.
This is a Python-based MP4 to MP3 converter that works for both YouTube and non-YouTube links. The user interface is created using Streamlit, while the conversion process is handled using the MoviePy and Pytube libraries.
Repo contains code of various steps involved in NLP. Uses the transcript of comedians as input.
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by DeepLearning.AI