Afzal Kamboh's starred repositories
Hostel-Management-System
Our project aims to develop a computerized system for hostel management, designed to address common human errors and anomalies. This idea was selected from a wide range of ideas due to its significance and potential to meet a critical need. We are committed to ensuring the accuracy and effectiveness of our implementation.
NMR-Editor-Project-of-Data-Structure
Our Java-based project, focused on data structures, aims to provide a user-friendly, feature-rich platform for writing and editing documents. With the ability to undo/redo up to 10 times, our editor provides a unique and valuable functionality that is not found in legacy editors.
Open-Diary
Our project focuses on client-side and server-side identification of users for secure online transactions, corporate resource access, and application and facility usage. We have implemented a secure authentication system that utilizes cryptography methods to ensure data confidentiality and integrity in the presence of adversaries.
Covertype_dataset
Data Preprocessing and Classification
freshOrgfood.github.io
This website use html, CSS and JavaScript. and purpose for designing and practice. Name of website is Fresh Organic Food.
Heart-Disease-Prediction
The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.
afzalkamboh
Afzal Kamboh Portfolio
Android-Project
Android Project Java
Banking-System
This project is build by using Assembly Language. First it take the password and then show the menu for different option.
Classification-of-Fashion-MNIST-Using-ANN-vs-CNN
Classification of MNIST Fashion dataset using ANN and CNN. Comparing the accuracies of both approaches
Credit_Card_Approvals
Build an ML-based credit card approval predictor for commercial banks to automate application analysis, saving time and reducing errors. High loan balances, low income, or excessive credit inquiries often lead to rejections. This project replicates real banks' automation for efficient, accurate, and faster decision-making.
Credit_Card_Fraud_Detection
This project provides a comprehensive analysis and implementation of Logistic Regression, Random Forest, Gradient Boosting, and Artificial Neural Networks (including RNN) for credit card fraud detection.
Employee_Emotion_Detection_fyp
Our web app uses AI (VGG-16, CNN, N-shot Learning, Lstm) to detect employee emotions and identification in real-time. It aims to improve well-being and work-life experiences by visualizing an emotional index linked to workplace videos, fostering a healthier work environment.
Schoolmangementsystem
This project is on school management that store the fees, result student and teacher record along with them it also used for managing school expenses.