Project Ideas for Students

The mysterious bankruptcy of the Enron Corporation has led to the development of this project. This project is built to investigate this case on the huge data set of this fraud business, which took place in December 2001. The data set mainly comprises the millions of e-mails sent to and from the executives of the company during the year 2000-2002. The nature of emails was reported to be suspicious, and hence it was not possible for anyone to decide nature.

Human Activity Recognition is the project meant for tracking the activities of humans in their daily life. This project is based on the pattern study and data filtration, which is obtained through machine learning. Machine learning will help to study the huge data variations of human activities. The project is highly useful in medical assistance, elder care, rehabilitation assistance, diabetes, and cognitive disorders domain.

MNSIT simply stands for Modified National Institute of Standards and Technology dataset. The application is based on machine learning of the huge data set available, and it helps to recognize a particular digit into a class of 10. The application is widely used in visual training and digit recognition. The application also uses many algorithms and classifiers.

Sentiment analysis is basically the computational determination of whether the piece of content is positive or negative. This analysis is also known as Opinion Mining; it earns a great use in today’s world. This application can be helpful in deciding the sentiments in the tweets of the people. As Twitter is a huge platform for opinions, and it affects a large number of people, the application can be helpful in reducing the hatred on the Internet.

The objective of the project is to build an application that could predict the sales using the Walmart dataset. This application will help in providing us with the data on future sales, and hence we can improve the sales of the company. Walmart is one of the biggest retail services in the world. With 45 stores across the world, the data associated with it is huge in number.

Bigmart is a vast supermarket chain which is located nearly at every megacity. The sales of Bigmart are very crucial, and data scientists study those patterns per product and per store to decide about the new centers. Using machine learning to predict Bigmart sales enables the data scientist to do so, as it studies the various patterns per store and per product to give accurate results.

Stock market prediction is the way of predicting future prices and values of the companies. This application will give investors more confidence to invest in a particular company. By using this application, the investors can keep track of the profits and losses in the stocks. The application is developed through a machine learning model and is used to predict stock prices.

Wine predictor is used for predicting the quality and taste of wine on a scale of 0-10. It requires a set of inputs, which is based on many other parameters such as acidity, concentration, etc. The project involves the concept of machine learning, which thoroughly studies the pattern and data and predicts the results.

Project on Iris Flower Classification using machine learning is simple and is one of the most basic projects if someone wants to learn about machine learning. This project is basically used to differentiate between three species of the Iris flower, which are setosa, versicolor, and virginica.

Robots have evolved from being a figment of our imagination to a reality we possess and enjoy. Automation is one of the leading fields in science due to the large-scale impact it has had. Robots now play essential roles in our daily lives and have replaced several mundane and repetitive jobs.