Feb 1, 2024 17K Reads
With the emphasis laid by the New Education Policy (NEP) on hands-on industrial skills and the changing landscape of industries which require constant upskilling, final year projects have become more crucial than ever for putting your theoretical learnings to practise and come up with unique systems that highlight your knowledge and acumen in your specialisation subject. However, landing on the right project for final year students is often mind-boggling owing to the high stakes of the decision. After all, your final year project not only affects your evaluation for the degree but also becomes a key highlight of your portfolio.
To ease this process, here we have talked about a few of the most appealing project ideas for students of science and technology. So, if you are a final year student from the domain of technology and computer sciences, continue reading to explore new ideas and find the best fit for your project!
Final year projects are full-term course mandated projects that students pursuing higher education at the undergraduate or postgraduate levels have to complete in the last year of their degree. Final year projects, whether in the form of research projects, dissertations or creative projects which require the student to build a system, are important not only from an evaluative perspective but also for the skill development before venture into professional fields. They are especially useful for students from the STEM specialisations, and from hereon, we shall delve deeper into the final year project ideas for domains related to computer science and technology.
Here, we have highlighted a few of the prime reasons as to why one should emphasise on building a unique and meaningful final year project as part of their degree.
Understandably, skill-building is the entire purpose of a final year project. These projects are strategically incorporated in degree courses in the last year to provide the student with enough knowledge to apply them in practice and hone their actual working skills related to various domains. Skill-building is needed not only for personal upskilling and growth but for success in the industry as well. And projects are the cornerstone for achieving expertise in applied skills.
Final year projects are crucial for evaluation purposes of the degree as well. In most cases, such projects are required in the partial fulfilment of the course requirements of the particular degree. Thus, working on a project that can effectively highlight all your skills and strength areas pertaining to your specialisation can ensure a fair and satisfactory evaluation, which is crucial since it gets reflected in one’s overall GPA in the degree.
While other projects and research ventures are useful for portfolio building, a final year project is a milestone in one’s portfolio that continues to impact one’s career journey through years. Hence, a final year project that is reflective of one’s interests, skills and strengths is useful for adding a valuable asset to one’s portfolio of experience and applied endeavours.
Considering the value laid by industries and professionals on applied skills, having completed a project that is meaningful and useful in the industrial and practical realm is highly valued by hirers and recruiters. With soaring competition rates in professional and industrial spheres, having a well-defined, unique final year project can certainly add a competitive advantage to one’s resume and chances of hiring.
One of the crucial purposes of adding final year projects as mandatory parts of degree courses is to enhance the practical application skills of students and related skills of critical and analytical aptitude, which are essential to thrive in professional environments. The ability to put skills and learnt concepts to practice is of primary importance in applied fields like technology and computer sciences. Final year projects provide a valuable outlet for doing so effectively and hence are crucial during one’s education.
While growing one’s technical skills and hard skills of IT, computer science and applied technology is the primary aim of a final year project, a collateral benefit that these projects have is the chance to network and get guidance and mentorship from top professionals and experts for conceptualising and completing the project. This can not only be useful for creating an exceptional project but also fostering soft skills of collaboration, coordination, interpersonal abilities etc. while providing invaluable mentors for guidance.
Thus, as you can comprehend, a final year project serves important functions in one’s educational as well as professional journey, and hence selecting the right topic for your final year project is of utmost importance. Through this blog, we have tried to walk you through the same.
While the selection of the domain for your final year project is mainly dependent on the specialisation you have opted for, this process should also be backed by thorough research and an evaluation of your interest areas. If you are pursuing a degree related to computer science (e.g. B.Tech in Computer Science Engineering or BCA etc.) or an IT related degree (e.g. BCA, B.Tech in IT development etc.) you may want to focus on specific subdomains which are highly valued in the industry today. This can help you align your professional goals with the project you pursue.
Some of the prominent subject areas that you can explore for your final year project if you are from the technology and computer science background include:
The above mentioned subjects are some of the prominent arenas one can prepare their final year project in. However, there are a number of other aspects that one can explore such as big data analytics, cloud computing, robotics, electronics etc.
Find details of various final year project ideas based on prominent subjects and specialisations below.
Enlisted below are a few of the unique project ideas for a final year student with respect to the field of data science.
A heart defect and health prediction application is a software developed using information from databases about bodily and heart health, medical histories of individuals across age groups as well as using machine learning technologies to make systematic predictions about the likelihood of a person suffering from heart diseases and having heart defects. Such applications are designed to collect some basic medical and health-related data from the user such as their gender, age, congenital conditions, diabetic and blood pressure history, cholesterol levels and so on. Based on the collected data and correlating them with the existing database information, the application predicts the likelihood of a person suffering from a heart defect. Such apps can also predict the chances of a person developing the defect further as they progress in age.
This application would make use of computer science aspects like data science and data analytics, machine learning technologies, full stack development for the logic and UI development and so on. It can make use of ML models such as Neural Networks, Random Forests and Logistic Regression.
A weather prediction application is an application that can be developed for mobile devices and PCs and can predict the weather on a given day, during a given time for a particular geographical region. Such applications are designed to analyse systematic data available in databases for a particular region and collate them with external data sources to display information regarding predicted precipitation, temperatures through the day, wind, sunrise and sunset and so on for a city/region/state. Such applications can base their functioning on data available from meteorological departments
The main functioning of such applications are based on the machine learning technologies, data integrations from various APIs, geospatial integration features using GPS services etc. This application can also be developed as software for the web.
Sentiment analysis is a central aspect of market analysis and customer insight studies for marketing strategization. Sentiment analysis models and software utilises data (such as comments, reviews, feedback etc.) from social media platforms and other information sharing portals like X, Instagram, Facebook, Reddit, Quora and so on to analyse if they reflect an overall positive sentiment or negative sentiment. Such data is then systematically displayed by the software to provide customer/user insights about a product or service.
Such applications combine AI and machine learning technologies with data science principles by correlating information collected from sentiment-related databases that highlight positively and negatively-worded items and verbs.
Student performance prediction system is an application useful for academic tracking and prediction of a student’s performance. This application gathers and maintains information about a student’s progress in academics with respect to their assignments, presentations, projects, quizzes and tests, examinations and so on for a semester, then providing a predictive final performance score based on the past performance of the student. This application can be highly useful for teachers to track and provide personalised support to students as well as for guardians and students to track and manage their academic activities and strengthen the weaker areas.
In addition to data science and analytical skills, a student must also have skills related to DBMS, frontend and backend development to provide an easy-to-use interface, machine learning techniques like regression, time-series analysis and so on.
Considering the ability of any application to get sold on app stores for android and iOS users, it is important to have softwares that can effectively detect possible fraudulent sources and behaviours of applications. Such a software can be both unique and highly useful in technological and cybersecurity domains. Such softwares systematically use stored data about applications, credible sources of applications, fraudulent or dysfunctional aspects of app function and so on to make a systematic analysis and further, a detection of whether or not the application is fraud or credible.
Creation of such projects requires deft skills in data collection about the app’s uses, functions and so on, rule-based detection of anomalous patterns or suspicious malware that can harm a system, machine learning technologies that help in predicting and identifying the fraud apps, features for real-time app tracking and detection as well as features to provide feedback for the same.
While we have already discussed a few projects that require machine learning skills for creation, here we have enlisted a few of the projects that are more focused on the domains of artificial intelligence and machine learning.
While many new formats of AI-enabled tools are available which can create music and art pieces, AI-enabled chatbots are one of the first tools to bring the focus on AI and its power to the mainstream. Designed to emulate the human conversational patterns and style, AI chatbots can provide responses to user queries and dialogues much like a conversation proceeding between two humans using chat applications. The main power of AI chatbots lies in not only emulating human conversation but to also provide answers backed by research and information from web sources. The scalability of such a bot with respect to what all domains and functions it is able to perform depends on the complexity of the project and skills of the student.
AI chatbots require the creation of a user-interface in addition to the AI technologies and involve Natural Language Processing (NLP) algorithms that can effectively emulate a human-like style of communication.
Smart virtual assistants are an exciting final year project to work upon and can add great value to your portfolio as a CS, IT and technology student. Smart virtual assistants are AI-powered assistive tools that can analyse instructions or searches by the user and then find answers or solutions to those problems through web-scouring or programming to perform certain commands like playing music or switching on devices. Smart virtual assistants can be programmed as web-based tools for assistance on websites, as remote applications for android devices or as AI-assistants connected to interconnected devices through IoT technologies.
Creation of an AI-assistant includes detailed and thorough programming, incorporation of natural language processing (NLP) algorithms, development of the user interface of the assistant, incorporation of voice recognition features, features related to playing audio-video materials, controlling connected devices and so on.
A credit score prediction application is a software integrated with aspects like artificial intelligence and machine learning technologies, data science and data analytics to collect finance-related information about a user and correlate it with existing databases to provide the credit score of the individual. Credit scores are very useful in today’s financial sector to attain loans, mortgages, credit cards as well as make informed financial decisions. Such an application provides an estimate of the credit score of a user by using a logic and an index for calculation after collation with existing databases for financial information.
Creating a credit score prediction application can be a rewarding final year project because it helps in highlighting various useful skills in domains like user interface development, data science, artificial intelligence and machine learning.
A stock price predictor application is a highly useful application for users interested in investments like investment bankers, stock brokers, companies and their shareholders etc. A stock price prediction works by analysing stock price data for various stocks and companies and using AI and ML technologies to make systematic predictions about the stock prices of specific ventures in the future, e.g. a month, in six months or a year. Such data helps users to understand the likelihood of price hikes or falls and make informed financial decisions about investments.
The development of this application, in addition to the user interface, involves integration of ML technologies such as time-series analysis, regression models, recurrent neural networks (RNN) and database API integration to make the predictions based on data.
A handwriting recognition software is also known as Optical Character Recognition or OCR software. The main purpose of this software is to scan handwritten materials and identify the language, symbols (alphabets and digits) and analyse them to effectively convert them into digital material. Such OCR softwares are very helpful today when we frequently require handwritten materials in the digital format. Such software includes aspects like data collection (in the form of handwritten symbols and digits from various individuals to create a dataset) and machine learning and deep learning technologies to teach the software to recognise the various handwritten letters and digits despite varying handwritings.
Python is a highly useful programming language that can be used for diverse purposes. Hence, mastering Python can be a very useful skill for one’s academic and professional success. Here are five project ideas related to Python language that a final year student can consider.
A dice rolling simulator is a tool that can randomly generate a number between 1 to 6 when commanded by the user, and thus simulate the functioning of an actual dice. Dice rolling simulators are useful in a variety of video and online games. A dice rolling simulator works by identifying the command given by the user, drawing random numbers between 1 to 6 in multiple rounds as required and then asking the user for another command to draw a number if needed. Such a simulator can be integrated with video games or other online games and should have an engaging user interface to sustain user attention.
A plagiarism checker tool using Python is an advanced project that is used to identify the plagiarism in written pieces by matching them with sources available on the web. A large number of plagiarism tracking tools on the web can trace plagiarised writing to varying degrees but still lack the ability to track nuances for plagiarism. As a final year project, you can work upon a Python project that can track specifics of plagiarised content and content without due citations and references. Such a project involves the incorporation of Google APIs as well as natural language processing models (NLPs) to identify plagiarism in various written pieces.
A file explorer is an application that systematically stores files, databases and documents for offline access and usage on a person’s device. Such file explorers can be created for use in android or iOS devices as well as PC and laptops. A Python File Explorer can not only store files and inventories but can also exhibit the relationship and pathways between these files and folders in a flowchart-like manner. Such an application includes features like moving files from one location to another, copying and pasting files, modifying their extensions, searching and querying files and so on. Working on this project requires a complete programming to incorporate the various features mentioned above and also needs the user to have some expertise in DBMS and full stack development for creating the interconnected databases for file storage and the user interface for effective display and file navigation.
The purpose of a regex query tool is to primarily provide users with the search for and manipulation of specific searched items/words in a larger piece by matching the user search with the available set of strings, also known as a “regex”. This application is programmed to get input searches from the user and then match them with the regex through crawling. The similar or matched results are then displayed to the user which can be further modified or deleted by the user. It is also a highly useful tool for data scientists and IT developers to identify regular patterns in a library or regex and work with them effectively.
An image resizing application is a software that can effectively get an input from the user in the form of an image and then take a command about the required output with respect to its size, image quality and extension. The application then converts the input image into the output image by processing it with respect to required output parameters provided by the user. Such an application is designed with incorporation of both Python programming and use of machine learning technologies to create a software that can preprocess submitted data by the user and further convert it into the required output. In addition to resizing the image with respect to its actual size, such applications also include features for resizing with respect to the file extension and the file size.
Database management system or DBMS is another specialisation area in IT and computer science studies that is popularly chosen by students. DBMS has many interesting projects to explore, and a few of those appropriate for final year projects have been discussed below.
A railway administrative database system is a detailed, interconnected and complex system that includes data and information related to the various trains and railways in a particular region ( a country, a state or even a district), the rail stations, junctions and halts, routes of the railways, their running schedules and real-time updates about the same, their ticket availability, passenger details from various stations, interconnections between various stations and more. Understandably, creation of a database for a railway administration is a complex and high-stakes project but can be equally rewarding considering its utility in building a platform of related databases for a high-stakes system like the railways. This DBMS project requires the student to build interconnected database inventories, program features like user search and enquiries as well as the programming for the user interface of the system. Cybersecurity measures to protect confidential information from snoopers is also an important feature of such a system.
Just like any other organisation, hospitals also require a systematic database platform for storing, manipulating and accessing data related to their employees and members, their job roles, work responsibilities, patient details, their medical histories etc. Additionally, in the case of a hospital, the scheduling and appointments of the various doctors and surgeons are of primary importance for effective patient services and attending to medical emergencies. Further, having systematic data about how the various departments are to coordinate for various medical cases are also much needed in organisations like hospitals. Thus, creating a hospital administration database system requires nuanced programming to ensure effective data display, search and access. Further such a system should have additional features that allow two types of user access-view access for members of the hospitals and admin access for administrative staff to enter and modify important data as needed.
An e-commerce platform is a commercial platform or application that can store data about various products for sale. Similar to online shopping platforms like Amazon and Flipkart, a final year can also work on creating their very own e-commerce or online shopping platform for specific products or a variety of products. Creation of this DBMS project includes aspects like providing systematic databases of various products along with their details like stock availability, price, brand, barcodes and so on. Furthermore, it includes the creation of an engaging and attention-catching user interface, features like product sorting based on parameters, predictions about approximate delivery time, GPS-integration to recognise the address of customers, integration of UPI and online payment services for products and so on. This project can help to capture not only your DBMS but also related CS and IT skills like frontend and backend development, graphic designing, cybersecurity etc.
A payroll database management system is a platform through which an organisation stores, modifies and accesses information pertaining to employees’ details and financial accounts. A payroll database system includes systematically stored employee data like their personal details, employment codes, tenure in the organisation, job title and job category etc. in addition to details related to their accounts with the company–their approved leaves, unexplained absenteeism, salary, salary segmentation, pay for each month, payslips for various months and so on. This system can be highly useful for administrative and finance departments of various offices in the private and public sectors for management of the finances and payrolls of employees.
A blood donation management database system is a platform used by blood banks for management of medical data of donors as well as stocks of bloods of various groups. Such a DBMS project involves creating the databases for donors including their personal details and medical histories, databases for blood stocks, databases for various recipients of blood and the hospitals and healthcare institutions which are associated with the blood bank. This is a highly useful DBMS tool and also serves a socially relevant purpose, making it a good project to work upon, both from an academic and portfolio-building standpoint.
Cybersecurity is concerned with the creation of softwares, tools and technologies that allow effective safety of users in cyberspace and the protection of digital data and information from unauthorised misuse. Here are a few of the projects in the specialisation domain of cybersecurity.
A face detector application is a software that can trace and scan faces in motion to identify its facia; features and further match them with existing database information regarding the facial features of specific users. The face detector app then identifies the face of the user by matching the facial features in the input video with database information. Such software and application can be used in tandem with other security verification on electronic devices as well as for purposes like surveillance, two-step authentication, entry and exit tracking of various visitors in a particular space/office etc.
Ant-piracy softwares try to track and regulate the piracy of any unique and copyrighted content on any platform or by any user to reduce the misuse and unauthorised reproduction of digital content. Anti-piracy softwares work by tracking the attacks made on authorised software, information and secure databases, track the attacks to the attacker and then bring down illegal reproduction or distribution of such content and information. Anti-piracy softwares are crucial to cybersecurity and copyright issues and provide a safeguard against the misuse of authorised data and information. They are designed with features including AI-technologies, tracking bugs and so on to provide cybersafe and piracy-proof platforms for use.
Voice recognition softwares are tools that are programmed to analyse the content and quality of speech or voice to convert it into a digital format like text, carry out the commands given in the audio medium or even recognise the person whose voice is being taken as the input. It can also be used as a biometric security measure for two-step user verification and as part of virtual assistants to receive audio commands for operations. Voice recognition softwares are coded with features for taking audio commands, for matching voice quality of the input with the audio characteristics recorded in the software’s API as well as equipped with machine learning technologies that can understand human voice/commands and convert them into written or textual formats.
Code-decode generators are important stenographic tools that can enhance the cybersecurity of information, especially information being communicated through a digital channel like internet manifold. A code-decode generator converts input data into encrypted format using random symbols at the input user’s end and decodes the message back into its original format at the output user’s end. Such a software prevents the stealing of sensitive and personal information of users by unauthorised users due the encryption format for which the logic and algorithm is only stored on the software. Such programs are challenging to develop but highly revered as a final year project for a CS or Software development student.
A user authentication software is a cybersecurity software that incorporates various modalities of authentication and identity verification of the user/individual trying to access a software/tool/database. Such systems usually include measures like password and passcode verification, fingerprint verification, voice recognition, facial detection and recognition and so on. Such a software should be integrable with other tools/applications/database systems and depending upon the security needs of the application, two-factor or multifactor authentication can be conducted for providing secure access. Such systems and softwares are highly useful in the IT, tech and financial sectors.
Like we have already delved upon, choosing the right final year project is very important owing to the high stakes of the project as well as its impact on your portfolio and future career prospects. However, selecting a project topic for your final year project is easier said than done, and selecting the project right for you and your academic-professional needs is all the more tough.
While it is important to remember that there is no one-size-fit-all approach and certainly no “perfect” project to go with, there are some projects which are academically more useful and motivating for a particular student. Identifying that project is key to selecting the right topic.
Here we have explained a few primary tips you should keep in mind while selecting a final year project and in the future for selecting arenas to explore.
Firstly, to land up with a project that reflects quality work and effectively encapsulates your skills, you should select a topical area that matches with your interest area. This is a useful start since it allows you to identify areas that would be more motivating and satisfying for you to work upon. So, while selecting a topic for your final project, start by identifying your prime areas of interest and exploring further specific topics in that domain.
It is important to select a project that matches well with your current level of expertise and proficiency in your topical area or subject. While selecting an over-simplistic project might not reflect well upon your evaluations for the course, selecting a very complex and advanced topic may lead to a compromise on the quality of work you are able to exhibit in the project. Thus, it is important to select projects that match the level of difficulty you can handle to avoid demotivation and produce effective results.
This is an aspect that cannot be emphasised enough since it is often missed out upon by students while deciding upon a topic. After you have identified your key interest areas, research about its related aspects such as the recent works and developments on that topic, the various potential project topic ideas in a major subject area and so on. This will be helpful in making an informed choice about your project topic as well as identify lacunae in current works on a topic, thus stimulating innovative ideas for projects.
Working on a curriculum-integrated project would also entail the allocation of a project supervisor for guidance and mentorship during the course of the project. You should be mindful of seeking a mentor or supervisor who is well-versed and an expert in the field you wish to work further upon as well as invested in your project to provide the right guidance and continued support you need.
This is a very essential aspect to consider when you are selecting the project for your final year. Since the final year implies you are soon to venture into professional and industrial fields, it is important to align your selected project to your primary career goals and industrial domain of interest for effective portfolio building. Furthermore, it also means you can develop hands-on experience in the kind of responsibilities and problems that arise in the actual industrial environment
While a few of the practical aspects to keep in mind have already been discussed such as the career goals and objectives of the student, there are certain other practical constraints that one has to pay attention to while selecting their practical skills. These include attention to the time required to develop the project and the time one can realistically allot to it whilst managing other curricular work, the difficulty level of the project, the utility of the project in the professional domain or practical life and so on.
By considering these tips to select a topic for your final year project, you are more likely to end up with one idea that fits your unique academic contexts and professional goals.
Thus, it can be seen that the selection of the right project for the final year of a degree is very important to ensure a satisfactory evaluation and effective portfolio building for the future. There are various broad topical areas in technology and computer studies like artificial intelligence, machine learning, data science, DBMS, Python language etc. that are quite revered and hence can be excellent to work on a project upon. This blog has provided a list of project topics and ideas related to such domains in addition to tips for selecting the best project for yourself. Selecting the right topic for a final year project based on your interests, career goals and thorough research can help pave the path for a bright academic and professional future for a student.
Some of the best final year projects to work upon include mobile softwares in android and iOS modes, AI chatbots, search engine platforms, administrative database systems, Python games etc. The best final year project to take up depends majorly on your specialisation and subjects of curriculum in addition to your personal interest and strength areas.
To choose the right final year project, seek consultation from your mentors, identify your key interest areas in your specialisation subject, identify your career goals and research about major topics of interest. These steps will help you narrow down your ideas and finally select the right topic for a final year project.
Some of the best software development projects for one’s final year include anti-piracy softwares, search engine softwares, face detection softwares, sentiment analysis softwares and so on.
Some of the best AI and machine learning final year projects include those like creating virtual AI-enabled assistants, AI chatbots, various prediction applications and so on.
Some of the best Python projects to work upon as a final year project include those like tools for anti-plagiarism, games for mobile devices and online modes, sentiment analysis models, regex query tools etc.
Topics like stock price prediction models, health prediction models, fraud detection applications, weather prediction applications, sentiment analysis projects etc. are good to explore as final year projects in data science.
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