When it comes to careers in software development, it is a must for ambitious students to indulge in developing their own projects. Developing projects is the best way to hone your skills and implement theoretical knowledge into practical experience. You need to acquaint yourself with the newest technologies and tools while developing a software project.

The more you learn about cutting-edge development tools, platform, your knowledge in object-oriented programming language will enhance and improve in a big way. These software projects involve design, programming, analysis and correcting the errors while executing the application or the program. By developing projects on your own you can acquire a gainful job when the opportunity arrives. If you wish to execute a software project, here's a list of exciting project ideas. 

1.Face Recognition 

One of the best ideas to start experimenting your hands-on software projects is face detection software. This project focuses on developing a face detection software using the OpenCV library. The face detection program will be modelled in a way that it can recognize faces with a unique id on live stream videos from webcam or video files stored in a PC’s local storage. The software uses pre-trained XML classifiers to recognize faces in real-time and track them. You can also implement different classifiers to identify various objects through this detection program. 

To execute this program, you need to install the OpenCV library on your local machine. It would be best if you created appropriate paths for the XML classifier files before running the program. 

2.Online Transaction Platform  

In online transaction platform, customers and sellers engage in transactional business, wherein customers purchase items through the online platform. In this project, candidates can create a secure online transaction platform using the fraud detection method with binary classification. If a user wants to buy a product through an online platform, they must provide their identification details like PAN number, email address, etc. The system will screen the users, authenticate, and authorize them. Only authorized users can buy on the platform. The system can be built to predict fraudulent users in the early stages, thus eliminating the risk of online fraud and scams.  

3.Analysis of Academic Performance 

This project is creating an evaluation system that can analyse the academic performance of students by using the fuzzy logic method. In the fuzzy logic method is to consider three parameters, namely, attendance, internal marks, and external marks, to analyse the final academic performance of students of an institution. The fuzzy inference system is much more accurate than conventional methods. 

While developing this software project, ensure that the student information uploaded is correct. Faulty data entry might lead to inaccurate results. 

4.E-Authentication  

This project mainly focuses on building an e-authentication system using a combination of QR code and OTP for superior security. The e-authentication system is developed to avoid hacking of accounts through shoulder surfing and embezzlement of login credentials. To use this system, a user has to first register on the platform by entering the basic registration details. 

Once the registration process is completed, the user can access their account by entering the email id and password combination that they had given. The user can proceed to the next authentication step either by Quick Response code or OTP (One Time Password). Accordingly, the system shall generate a QR Code or an OTP, while the QR code will be sent to the user’s email, the OTP will be sent via SMS to the registered mobile number of the user.  

5.Prediction of Crime Rate 

This project is one of the interesting software project ideas to develop. This software project involves developing a prediction system that can analyse and predict the crime rate of a particular location. The system needs to be fed with relevant data. 

It uses the K-means, it is type of clustering method and uses data mining algorithm to predict the crime rate. The K-means algorithm can differentiate co-offenders and organized crime groups by detecting appropriate crime patterns via hidden links and statistical analysis of crime data. The admin shall feed the crime data into the system, the algorithm will evaluate crime data stored in a database and extract information and patterns. It will then collate the crime groups based on the matching patterns on the dataset. The clusters are created based on factors like where the crime took place, which people were involved in the crime, and time of crime occurrence. 

These are some of exciting and interesting software project ideas for computer science students. candidates can develop these projects and by the end of it they will be able to understand new technologies and the object-oriented programming languages on a new level.