kanishk1046

Hospitality-Application

The Hospitality Management App streamlines guest check-ins, document uploads, and room assignments with a user-friendly interface and secure MongoDB Atlas integration. It's designed for hotels of all sizes, enhancing efficiency and guest satisfaction.

portfolio-website

Hello! I'm Kanishk Vanza, an app developer and UI/UX designer from India. With a passion for technology and a keen eye for design, I specialize in creating intuitive and engaging digital experiences.

flutter-notes-app

A simple and intuitive Flutter app for managing your notes efficiently. This app allows you to add, edit, delete, and save notes with ease. Additionally, it comes with light and dark mode functionalities to suit your preferences and enhance usability in different lighting conditions.

react-native-basic-to-advanced

Learning react-native from basics to advanced

kanishk1046

GitHub readme file

SaaS-AI-platform-GENESIS

Genesis is a state-of-the-art SaaS AI platform built with Next.js and Tailwind CSS. It features a robust backend powered by Python and Flask, integrating advanced AI models for chat, image, and video generation. Our platform provides a seamless user experience through an intuitive interface, offering cutting-edge AI capabilities to users.

Manthan-778

Config files for my GitHub profile.

To-Do

virtual-assistant-with-integration-of-ChatGPT

I have developed a virtual assistant that incorporates integrated ChatGPT features. This innovative creation combines the power of artificial intelligence with natural language processing to provide users with an intuitive and efficient conversational experience.

Timer-using-Python-GUI

This timer program is a simple yet useful utility that can help you keep track of time while performing various tasks. In this program, you can create a timer that allows you to start, stop, continue, reset and quit the timer.

Pneumonia-detection-using-machine-learning

This program designed to detect pneumonia using machine learning typically involves a dataset of chest X-ray images of patients with pneumonia and without pneumonia. The machine learning algorithm is trained on these images to identify patterns and features that differentiate between healthy and infected lungs.