dhillipkumar Goto Github PK

bad-vision-face-recognition-app

Java app tackling face recognition challenges like expressions, occlusions, with enhanced accuracy, liveness detection, and spoofing protection.

bank-churn-prediction-model

Developed a machine learning model to predict customer churn in banks using a comprehensive dataset. Evaluated various algorithms to identify key factors influencing churn and achieve high prediction accuracy.

chatbot-crop-prediction-india

Literature review on the use of chatbots for predicting the cultivation of foreign crops in India

coffee-shop-sales-data-analysis

"Exploratory Data Analysis (EDA) project on sales data from a coffee shop. This case study report aims to uncover patterns, trends, and insights to enhance sales performance and improve business strategies."

comparative-study-academic-systems

The primary objective of this survey is to explore and compare the academic stress levels, learning experiences, and well-being of first-year (Junior) and senior students under different academic systems.

credit-score-prediction-ml

Developed a machine learning-based system for accurate credit score prediction using a comprehensive dataset. Evaluated multiple algorithms, with random forest achieving 81.225% accuracy. Deployed the model using Flask for real-time predictions.

dhillip.github.io

handwritten-digit-classification-ann

Developed an artificial neural network (ANN) model to classify handwritten digits using the MNIST dataset. Achieved high accuracy through rigorous model training and evaluation. Deployed the model using a web application for real-time digit classification.

missing_person_finder_android_app

The "Missing Person Finder" is a mobile application designed to facilitate the process of finding missing individuals. The app is structured into various sections, including a dashboard for viewing reports of missing persons, a form for reporting details, a notifications tab for updates, and a profile section for user settings and information.

potato-disease-classification-cnn

Developed a Convolutional Neural Network (CNN) model to classify potato diseases and deployed it using FastAPI.

sdg7-energy-case-study

A case study on Advancing SDG 7: Enhancing Access to Affordable, Reliable, Sustainable, and Modern Energy. This repository includes analysis, data, and insights aimed at improving energy access globally.

sdk-hospital-management-system

A comprehensive full-stack web application for managing hospital operations, including patient registration, appointment scheduling, medical records management, billing, and an admin panel for hospital staff and departments. Built using HTML, CSS, JavaScript, PHP, and MySQL, and deployed on an Azure Virtual Machine for reliability and scalability.

shapeai_python_machine_learning

tata-airline-reservation-system

A full-stack web application for Tata Airline Reservation System, developed using HTML, CSS, JavaScript, PHP, and MySQL. The system includes features for user registration, flight search and booking, payment processing. Deployed on an Azure Virtual Machine for robust performance and scalability.