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This project detects cheating by tracking head and pupil movements using the Shape Predictor 68 facial landmarks. It also detects mobile phones with a YOLO model trained on the Roboflow cellphone d…
Pookie Chatbot: A Streamlit-powered conversational AI built with Google's Gemini LLM and Pinecone vector database. Features context-aware responses, query refinement, and conversation history track…
A Machine Learning project to Detect Fake News by classifying articles as "Fake" or "Not Fake" using Logistic Regression, Decision Tree, Gradient Boosting, and Random Forest. Includes text preproce…
This repository contains a curated collection of coding questions frequently asked in Cognizant's recruitment process. The questions are sourced from PrepInsta and cover a variety of topics aimed a…
This repository provides solutions to Accenture's previous year coding questions, helping candidates prepare for technical interviews and coding assessments. Each solution is written with clarity a…
This project predicts diseases based on user-provided symptoms using multiple machine learning models (Random Forest, SVM, Naive Bayes, Decision Tree, KNN). Each model independently predicts a dise…
This repository uses AI techniques, including Convolutional Neural Networks (CNNs) and Natural Language Processing (NLP), to detect and minimize sensitive content on social media. It helps identify…
Conductor is an event driven orchestration platform providing durable and highly resilient execution engine for your applications
The Bank Management System is an online platform enabling users to manage bank accounts, perform transactions, and view account details securely from anywhere. Built with Java, JSP, and MySQL, it f…
Below You will find some of the most important codes in Java Language. These codes are of prime importance for college semester exams and also for various online tests and interviews of the compani…
The Malicious URL Detection project uses machine learning to classify URLs into categories like Phishing, Malware, Defacement, or Benign. It employs feature engineering and models such as Random Fo…
This project aims to develop a deep neural network (DNN) model, specifically a Sequential Convolutional Neural Network (Conv2D), to effectively classify human faces as happy or sad based on static …
This innovative application is designed to identify individuals at risk of developing mental disorders at an early stage, enabling timely intervention and support. The app prioritizes robust data e…