Gangesh Basker

My main goal is to build an innovative technological solution that could detect sexual harassment in real-time, which is much needed to fill in the gap left void by traditional methods, by which I aim to create a safer work environment, overcome reporting hesitancy, support HR and legal management, reduce psychological and physical stress.

I developed a depression detection system through multi-model data integrating word context, audio, and video to predict if a patient exhibits symptoms of depression (binary yes/no). The deep learning architecture involves feedforward highway layers for audio and video, dimensionality reduction using dense layers, concatenation, (Bi)LSTM, and a fin

A project that predicts a phishing URL by extracting 17 features in 3 different categories and then train and test the machine learning models using a dataset from Phishtank.

This project presents a VR cinematic cutscene developed using Unity’s Timeline feature, designed to provide an immersive and engaging experience similar to cutscenes in modern gameplay. This VR experience is enriched with two distinct camera angles, carefully choreographed animations, and synchronized audio narration to enhance the storytelling.

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Trying to incorporate new features using various Hasing techniques to detect phishing websites. Also doing something like searching the logo of the website and extracting keywords to search again to lead to the legitimate site.

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This project showcases an engaging 3D platformer obstacle course game developed using Unity, drawing inspiration from popular games like Fall Guys. The game offers a thrilling and dynamic experience where players navigate through a series of challenging obstacles to reach the finish line. It features three interconnected obstacle courses.

This project showcases a simple Augmented Reality (AR) application developed using Unity, designed to overlay a virtual laptop model onto the real-world environment as viewed through the device's camera. The primary objective of this app is to demonstrate the capability of AR to blend digital content seamlessly with the physical world.

This project presents a classic, simplified version of the popular Flappy Bird game developed using the Unity game engine. The game is designed as a 2D side-scroller where the main objective is to navigate a bird through a series of pipes without colliding with them. The game is an excellent example of a fundamental game development project.

Welcome to the comprehensive repository for various Machine Learning (ML) algorithms! This repository contains code implementations for a wide array of ML algorithms, covering basic to advanced concepts. It is an excellent resource for students, researchers, and developers interested in exploring and applying machine learning techniques.

Welcome to the repository dedicated to various Natural Language Processing (NLP) algorithms! This repository contains code implementations for a wide range of NLP algorithms, from basic to advanced, providing a valuable resource for students, researchers, and developers interested in the field of NLP.

Welcome to the comprehensive repository for Perl and Bash scripting in Linux! This repository contains a collection of scripts and code examples that cover both the basics and advanced concepts of Perl and Bash scripting. It is an invaluable resource for system administrators, developers, and anyone looking to automate tasks on Linux.

Welcome to the ultimate repository for Django web application codes! This repository contains comprehensive solutions to a wide range of questions covering the majority of topics in Django. Whether you are a beginner looking to learn the basics or an experienced developer seeking advanced topics, this repository has something for everyone.

Child labour is a significant problem in most developing countries, damaging, spoiling and destroying children's futures. Child labour can result in extreme bodily and mental harm and even death. To overcome the problem, we have approached a technical solution by creating a model using video classification techniques to detect child labour actvts.

A project to detect the drowsiness of the driver and to alert the driver using an alarm. Here, we used Python, OpenCV, and Keras(Tensorflow) to build a system that can detect features from the face of the drivers and alert them if they ever fall asleep while driving. The system detects the eyes and prompts if it is closed or open.