Afzal Kamboh's repositories
Classification_of_Fake_News
In our daily lives, we encounter news through various channels. However, distinguishing between authentic and fabricated news can be challenging. The objective is to develop a predictive model that determines the authenticity of a given news article.
E-Commerce_Website
Node.js eCommerce Website with MongoDB and Stripe Integration
SupplyChainAnalysis
The supply Chain is the network of production and logistics involved in producing and delivering goods to customers. And Supply Chain Analysis means analyzing various components of a Supply Chain to understand how to improve the effectiveness of the Supply Chain to create more value for customers.
Web_Data_ETL_Pipeline
A Web Data ETL (Extract, Transform, Load) pipeline is a systematic process used in data engineering to collect, transform, and load data from various sources on the internet into a structured and usable format for analysis and storage.
Netflix_Subscriptions_Forecasting
Using techniques like time series forecasting, Netflix can estimate the expected number of new subscribers in a given time period and better understand the growth potential of their business
Movie_Recommandation_WebApp
π¬ Movie Master WebApp π - Your Ultimate Movie Recommendations! Train on Kaggle dataset using AI to deliver personalized suggestions, real-time movie recommendations, in-depth details, and trailers. Access thousands of movies across genres, deployed with Streamlit and Python for a seamless experience. ππ₯π
afzalkamboh
Afzal Kamboh Portfolio
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.
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.
Android-Project
Android Project Java
Covertype_dataset
Data Preprocessing and Classification
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.
freshOrgfood.github.io
This website use html, CSS and JavaScript. and purpose for designing and practice. Name of website is Fresh Organic Food.
Classification-of-Fashion-MNIST-Using-ANN-vs-CNN
Classification of MNIST Fashion dataset using ANN and CNN. Comparing the accuracies of both approaches
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.
Banking-System
This project is build by using Assembly Language. First it take the password and then show the menu for different option.