A Python Program with a knowledge base to suggest a nutritional intake according to BMR calculated by the user inputs and then suggest a diet plan according to the user’s eating preference.

This project utilizes the VGG16 convolutional neural network architecture to classify waste into two categories: recycle waste and organic waste.

• Developed and implemented machine learning models to predict eye states using EEG data.

• Evaluated the performance of various algorithms including Random Forest, XGBoost, CatBoost, and LightGBM.

• Demonstrated the potential applications in driver drowsiness detection, human-computer interaction, and medical research.

Stores employee data, has a special search page to search for an employee and gives the result in a table, and has a sign-in page as a security feature so that only authorized people can access the employee data

Can convert different kinds of units to almost any type of unit and also stores the result of the conversions performed in a database which can be viewed using the history feature.

It creates a login System with a database to store User-Id and Password and has features like forgot password and creates a session each time you logged in and takes you to the welcome page.

A website design for a cafe and food Chain for users to order food and beverages and browse through different services provided by the company

A mobile app prototype for a Caffe Using which users can order food and beverages.

A mobile app prototype for a company trying to solve the Zero hunger resolution from the 19 SDGs of the UN