https://github.com/rajnandinithopte/machine-learning_marsfrostdetection

This project applies deep learning and transfer learning to classify Martian HiRISE images for frost detection. A custom CNN + MLP model and pre-trained networks (EfficientNetB0, ResNet50, VGG16) were used to improve classification accuracy.

Last synced: 17 Feb 2025

https://github.com/rajnandinithopte/machine-learning_decisiontrees-lasso-boosting

This project explores regression modeling using decision trees, LASSO regression, and boosting techniques to analyze and predict target variables. It includes feature selection, hyperparameter tuning, and performance evaluation using cross-validation.

Last synced: 17 Feb 2025

https://github.com/rajnandinithopte/multimedia-systems-design_indexing-and-retrieval-for-video-content

A Java-based system that identifies video frames by hashing and indexing them in JSON files. Given a query frame from an .rgb video, the system retrieves the matching video and timestamp, then plays the result using a JavaFX media player. Features multithreading for optimized search

flask java json-data multimedia-retrieval scene-recognition sha256-hash video-processing

Last synced: 17 Feb 2025

https://github.com/rajnandinithopte/socket-programming--computer-networks

A UNIX socket programming project that implements a meeting scheduler using TCP and UDP communication. The system includes a client, main server, and two backend servers to process meeting requests and determine common available time slots efficiently. Built using C/C++ on Ubuntu, following POSIX socket programming principles.

Last synced: 17 Feb 2025

https://github.com/rajnandinithopte/weather-search-web-app-tomorrow.io

A web-based weather search application built with Angular, Node.js, and MongoDB, integrating the Tomorrow.io API for real-time weather updates. Features location-based search, autocomplete suggestions, dynamic charts, and a favorites list with MongoDB storage.

Last synced: 17 Feb 2025

https://github.com/rajnandinithopte/machine-learning_knn-classification

KNN classification project for predicting abnormalities in a vertebral column dataset using various distance metrics, EDA, hyperparameter tuning, learning curves, and weighted voting to optimize performance.

Last synced: 17 Feb 2025

https://github.com/rajnandinithopte/advanced-systems_multithreading-token-bucket-filter

This project implements a multi-threaded token bucket filter using mutexes, condition variables, and FIFO queues to regulate packet transmission. It ensures efficient packet flow control, synchronization, and statistical tracking, supporting both deterministic and trace-driven execution modes.

conditionvariables fcfs-scheduling memory-management multithreading mutex-lock networkcongestion performance-analysis pthreads realtimesystem sigint synchronization-mechanisms tokenbucket

Last synced: 17 Feb 2025

https://github.com/rajnandinithopte/machine-learning_supervised-semisupervised-unsupervised-activelearning-svm

This project applies Support Vector Machines (SVM) and K-Means Clustering for multi-class and multi-label classification. It explores kernel methods, clustering evaluation, and hyperparameter tuning to improve model performance.

Last synced: 17 Feb 2025

https://github.com/rajnandinithopte/operating-systems_weenix-kernel-development

This project involves the development of a UNIX-like operating system kernel (Weenix) in three phases, implementing process management, virtual memory, and file systems. It focuses on multithreading, synchronization, demand paging, and system calls, ensuring efficient kernel functionality through rigorous testing.

Last synced: 17 Feb 2025

https://github.com/rajnandinithopte/machine-learning_multiclass-multilabel-svm-kmeans

This project applies SVMs for multi-class and multi-label classification and K-Means for clustering, focusing on feature engineering and model optimization. It includes dimensionality reduction and hyperparameter tuning for improved accuracy.

Last synced: 17 Feb 2025

https://github.com/rajnandinithopte/machine-learning_time-series-analysis

This project applies feature engineering and logistic regression for time series classification, optimizing performance through feature selection and cross-validation. It explores both binary and multi-class classification using sensor data.

Last synced: 16 May 2025

https://github.com/rajnandinithopte/machine-learning_regression-analysis

This project analyzes power plant data to predict energy output using linear regression and KNN regression, exploring feature relationships, model performance, and hyperparameter tuning for improved accuracy.

Last synced: 16 May 2025

https://github.com/rajnandinithopte/machine-learning_tree-based-classification-with-imbalanced-data

This project explores tree-based classification methods, including Decision Trees, Random Forests, and Gradient Boosting, to handle imbalanced datasets. It applies resampling techniques, feature importance analysis, and model evaluation metrics to optimize classification performance.

Last synced: 16 May 2025

https://github.com/rajnandinithopte/weather-search-ios-app--tomorrow.io

A Swift-based iOS weather app utilizing Tomorrow.io API to fetch real-time weather data. Supports location-based search, city lookup with autocomplete, detailed weather forecasts, interactive charts, and social media sharing.

googlegeocoding-api googleplaces-api highcharts mongodb-atlas nodejs swift toast-notifications tomorrow-io twitter-api

Last synced: 16 May 2025

https://github.com/rajnandinithopte/advanced-systems-programming_doubly-linked-circular-list-transaction-sorting

This project implements a doubly-linked circular list for efficient transaction management and sorting, ensuring robust memory handling, error detection, and structured financial reporting with optimized insertion, deletion, and in-place sorting.

algorithms-and-data-structures c memory-management operating-systems pointers

Last synced: 01 Apr 2025