The top easy and affordable AI projects for engineering students to practice and learn AI

Our daily lives have been significantly impacted by artificial intelligence. You use an application of AI every time you open Spotify, read through social media, or perform a fast Google search. There are many easy and affordable AI projects for students to look up to and learn about its applications.

The AI projects have had tremendous growth in recent years and are expected to continue to rise, with an estimated 126 billion dollars in revenue by 2025. International corporations like Apple, IBM, and Accenture are actively seeking top AI projects. The discipline of artificial intelligence is very broad, and there are several subfields you can specialize in. Consider a career in computer vision if you are interested in picture creation and facial recognition technologies. Without further ado, let us get to know about the top easy and affordable AI projects for engineering students that can enhance their AI knowledge further.

1.Resume Parser

With the help of artificial intelligence and machine learning techniques, you may create a resume parser that can go through a candidate's application and discover qualified applicants while weeding out those who stuff their CV with pointless keywords.

To create this model, utilize the Resume Dataset from Kaggle. Only the job title and the candidate's résumé information are included in this dataset.

2.Fake News Detector

Before it spreads widely and generates fear, fake news needs to be quickly identified and stopped.

Use the Real and Fake News dataset offered by Kaggle to create a fake news detector.

This classification can be carried out using a pre-trained machine learning model called BERT. An NLP model called BERT has been made open-source. You may simply add one more output layer after loading BERT into Python for your text classification work.

3.Translator App

A transformer can be used to create your own AI translator application. Python can be used to load a pre-trained transformer model to accomplish this. Next, convert the text you want to translate into tokens and feed those tokens to the trained model.

For this, you can make use of the GluonNLP library. The training and test datasets for this AI project can also be loaded from this library.

4.Text Generation Model

This model can be used to create humorous text messages or stories.

Use the GPT-2 model from OpenAI to create a text generation model. Users can utilize GPT-2, an open-source artificial intelligence, for several NLP activities.

5.Colour Detection

You will create a model for an AI project that can identify an image's color.

On Kaggle, you can utilize the Color Recognition dataset. To construct this project, you must convert each image in the collection into RGB channels.

6.Building a Telegram Bot

You will create a Python Telegram bot for this project using the Telegram API. Installing the Telegram package comes next once you have the API key needed to create your Telegram bot. You only need to create your chatbot with a command that causes it to send the message "Hello, World" in response.

7.Keyword Research Using Python

This project will demonstrate how to conduct keyword research using Python to identify the most well-liked themes and keywords. The first step is to access Google Trends using Python's trends module and the Google API.

8.Fuel Efficiency Prediction

With artificial intelligence, it is possible to predict the outcome of a constant variable, such as a price or a probability. Using the Auto MPG dataset, one of the most well-known datasets among machine learning practitioners, create a model that forecasts car fuel economy. You must list the model names of several automobiles from a particular era.

9.Earthquake Prediction Model

Earthquake prediction is one of the major problems that environmental studies still haven't solved. This project will teach you how to create an earthquake prediction model using machine learning and the Python programming language.

10.Car Price Prediction

One of the most fundamental AI projects for seniors is car price prediction. This project will demonstrate how to train a machine learning model to assist you in predicting car prices using PyTorch. Use a dataset for this project that includes the prices of several cars as well as the variable you will forecast, or the selling price of the cars.

The projects listed above are in no way all of them. Because AI is such a broad topic, you can design some amazing artificial intelligence software projects to include in your portfolio with a little imagination and technical know-how. Building AI models to address business issues in a variety of business disciplines has gotten easier as AI has become more accessible to all.