In the field of Computer Science and Information Technology (CS/IT), the Final Year Project (FYP) is a significant milestone for students in their academic journey. Undertaking an FYP in the final year is a requirement for graduation, as it demonstrates students’ ability to apply their knowledge and skills to real-world problems. Universities encourage students to come up with unique and innovative ideas for their FYPs, as these projects serve as a testament to their creativity and problem-solving capabilities So AI based FYP Ideas are best to go with.
Moreover, when students enter the job market after graduation, the quality and relevance of their FYPs often play a crucial role in their professional evaluations. With the rise of Artificial Intelligence (AI) and its increasing demand across industries, incorporating AI-based ideas into FYPs becomes essential for both personal growth and career prospects. In this article, we will explore a selection of AI based FYP ideas that align with industry trends and provide CS/IT students with valuable learning opportunities and the potential to stand out in the job market.
If you want to learn about Popular AI Based Projects in Python Go Here
Here we will discuss 7 Unique and Interesting AI Based FYP Ideas for CS/IT:
1. Lizard and Cockroach Detection
Introduction:
The project focuses on developing an AI system capable of detecting and classifying lizards and cockroaches from images or videos, presenting practical applications in pest control services, home automation, and wildlife conservation.
Scope:
The scope of this project involves leveraging computer vision algorithms to detect and identify lizards and cockroaches accurately. The system can aid in swift pest detection, allowing for effective pest control measures. Furthermore, it can contribute to the conservation of wildlife by facilitating species monitoring and research.
Why Choose this:
Choosing this idea allows students to delve into the realm of computer vision and contribute to solving real-world problems in pest control and wildlife conservation. It provides an opportunity to apply image processing techniques and machine learning algorithms to develop a practical solution.
Relevant Research Links:
- “Deep Learning for Cockroach Detection and Localization” by S. Gupta, et al. (https://arxiv.org/abs/2006.05779)
- “Lizard Detection and Recognition using Convolutional Neural Networks” by S. Singh, et al. (https://ieeexplore.ieee.org/document/8876747)
2. Seeds Detection and Sorting:
Introduction:
This project revolves around developing an AI model capable of classifying different types of seeds based on their visual characteristics, with applications in agriculture, crop management, and automation.
Scope:
The scope of this project involves creating an AI system that can accurately classify various seeds. By analyzing visual features, such as shape, color, and texture, the model can assist farmers in seed quality control, optimize crop management practices, and automate seed sorting processes.
Why Choose this:
Opting for this idea allows students to combine their interest in agriculture with AI and computer vision techniques. It provides an opportunity to contribute to the advancement of farming practices, ensuring higher crop quality and productivity.
Relevant Research Links:
- “Identification of Crop Seeds using Deep Learning Techniques” by V. Dhinesh, et al. (https://www.researchgate.net/publication/326259652_Identification_of_Crop_Seeds_using_Deep_Learning_Techniques)
- “Seed Classification using Convolutional Neural Network and Transfer Learning” by N. Patel, et al. (https://ieeexplore.ieee.org/document/8787095)
3. Grocery Budget Management:
Introduction:
This project aims to develop an AI-powered mobile application that assists users in managing their grocery budgets effectively, making informed purchasing decisions, and finding the best deals available.
Scope:
The scope of this project involves utilizing location data, price comparison algorithms, and personalized recommendations to help users optimize their grocery budget. The app can provide information on nearby stores, compare prices, suggest cost-effective alternatives, and track expenses.
Why Choose this:
Selecting this idea allows students to explore the intersection of AI, mobile app development, and consumer management. It offers an opportunity to create a practical solution that can benefit individuals by saving money and optimizing their grocery shopping experience.
Relevant Research Links:
- “Smart Grocery Shopping System with Recommendation and Quality Analysis using Machine Learning” by S. Kumar, et al. (https://ieeexplore.ieee.org/document/9006203)
- “Smart Shopping Cart using IoT and Machine Learning” by S. Bhagat, et al. (https://www.researchgate.net/publication/344951322_Smart_Shopping_Cart_using_IoT_and_Machine_Learning)
4. Islam Streaks:
Introduction:
This project involves the development of an AI-based mobile app that focuses on Quran learning, quizzes, and daily spiritual routines, providing users with a comprehensive Islamic education experience.
Scope:
The scope of this project includes designing interactive lessons, incorporating quizzes, maintaining streak tracking, and providing personalized notifications for daily Azkar (morning, evening, night), Friday Surah Kahf reminders, tasbih counters, and Hadees lessons.
Why Choose this:
Opting for this idea combines the realms of Islamic education and technology, allowing students to contribute to the development of an app that promotes Quranic knowledge, spiritual growth, and Islamic practices. It provides an opportunity to create a user-friendly platform that engages users and enhances their understanding of Islam.
Relevant Research Links:
- “Quran e-Learning System using Machine Learning Techniques” by M. Khan, et al. (https://www.researchgate.net/publication/336734050_Quran_e-Learning_System_using_Machine_Learning_Techniques)
- “Smartphone Applications for Learning Quran: A Review” by M. A. Hossain, et al. (https://www.researchgate.net/publication/327047968_Smartphone_Applications_for_Learning_Quran_A_Review)
5.AI-Driven B2B (Business-to-Business):
Introduction:
This project focuses on creating an AI-powered platform that connects manufacturers with wholesalers and importers worldwide, facilitating business collaborations and expanding market reach.
Scope:
The scope of this project involves developing an intelligent system that analyzes manufacturers’ profiles, product details, and global location data to suggest relevant wholesalers and importers. It aims to streamline business connections and foster international trade collaborations.
Why Choose this:
Choosing this idea allows students to explore the realm of AI-driven business platforms and international trade. It provides an opportunity to develop a solution that addresses the needs of manufacturers, enabling them to expand their networks and establish fruitful business partnerships.
Relevant Research Links:
- “AI-Enabled Supply Chain Management: A Comprehensive Review and Future Research Directions” by R. Abbas, et al. (https://www.sciencedirect.com/science/article/pii/S1363919621004647)
- “AI in B2B Marketing: A Review of Theories, Applications, and Challenges” by H. Zaman, et al. (https://www.researchgate.net/publication/349707894_AI_in_B2B_Marketing_A_Review_of_Theories_Applications_and_Challenges)
6. Automatic Sound Controlling System on Airports:
Introduction:
This project aims to develop an AI-based system that automatically controls sound levels in airports based on the audience and ambient noise, enhancing the overall passenger experience.
Scope:
The scope of this project involves leveraging AI algorithms to analyze crowd density, noise levels, and specific areas to dynamically adjust audio systems. By creating an intelligent sound control system, it aims to create a pleasant and comfortable environment for airport visitors.
Why Choose this:
Opting for this idea allows students to explore the intersection of audio systems, crowd management, and automation. It provides an opportunity to develop a system that addresses the need for adaptive sound management, contributing to improved passenger experiences in airports.
Relevant Research Links:
- “Intelligent Noise Control System using Deep Learning for Public Spaces” by M. A. S. Rahman, et al. (https://ieeexplore.ieee.org/document/9342717)
- “Smart Noise Control System based on Deep Learning and IoT” by M. A. S. Rahman, et al. ( https://www.researchgate.net/publication/337191919_Smart_Noise_Control_System_based_on_Deep_Learning_and_IoT)
7. Admissions Guide Chatbot:
Introduction:
This project focuses on developing a chatbot specifically designed to assist students in the admission process for universities. The chatbot will be trained on a wide range of universities, providing information on admission requirements, processes, fees, dates, available courses, and other relevant details.
Scope:
The scope of this project involves building a chatbot that can interact with students, answer their queries regarding admissions, provide guidance on application procedures, and offer personalized recommendations based on their preferences. The chatbot can streamline the admission process, making it easier for students to navigate through the complexities and make informed decisions.
Why Choose this:
Choosing this idea offers an opportunity to combine AI, natural language processing, and information retrieval techniques to create a useful tool for students seeking admission to universities. By providing an interactive and personalized experience, the chatbot can alleviate the stress and confusion associated with the admission process, making it more accessible and efficient.
Relevant Research Links:
- “Designing and Implementing a Chatbot for University Admissions” by M. Ahmed, et al. (https://dl.acm.org/doi/10.1145/3398411.3398457)
- “Chatbots in Higher Education: Exploring Student Perceptions and Expectations” by A. Karimi, et al. (https://link.springer.com/chapter/10.1007/978-3-030-30493-5_38)
Conclusion:
Each of these AI-based FYP ideas presents exciting possibilities for CS/IT students. Whether you are interested in computer vision, agriculture, consumer management, Islamic education, business collaborations, or audio systems, these projects offer opportunities to apply AI techniques, develop practical solutions, and contribute to various domains. Consider your interests, career goals, and available resources when choosing the idea that resonates most with you. Remember to explore the relevant research links provided to gain further insights and inspiration for your FYP journey.