ICT Final year projects Titles
Type : Health Informatics | Date shared : Sunday, April 09, 2023 |
Description : This project aims to create a web-based decision support system that can assist healthcare professionals in managing patients in a hospital setting. The system will use data analytics and machine learning algorithms to provide real-time insights on patient conditions and treatment options. |
Type : Computer Science | Date shared : Sunday, April 09, 2023 |
Description : This project aims to implement a cloud-based image recognition system using convolutional neural networks (CNNs). The system will be able to recognize objects in images and classify them into different categories. The project will involve designing and training a CNN model, as well as setting up a cloud-based infrastructure for image processing. |
Type : Business Informatics | Date shared : Sunday, April 09, 2023 |
Description : This project will develop a software application that can automatically forecast sales for small and medium enterprises. The system will use historical sales data and machine learning algorithms to predict future sales, which can help businesses make more informed decisions about inventory management and resource allocation. |
Type : Software Engineering | Date shared : Sunday, April 09, 2023 |
Description : This project will develop a continuous integration and delivery (CI/CD) pipeline for software development. The pipeline will automate the build, test, and deployment process, ensuring that software changes are delivered quickly and reliably. The project will involve setting up the CI/CD infrastructure, integrating various tools and services, and designing a workflow that fits the needs of the development team. |
Type : Computer Science | Date shared : Sunday, April 09, 2023 |
Description : This project will develop a real-time chat application using WebSockets. The application will allow users to communicate with each other in real-time, similar to popular chat applications like WhatsApp and Facebook Messenger. The project will involve designing the user interface, setting up the server infrastructure, and implementing the WebSocket protocol. |
Type : Business Informatics | Date shared : Sunday, April 09, 2023 |
Description : This project will create a web-based dashboard for analyzing sales performance data. The dashboard will use data visualization techniques to help businesses identify trends, opportunities, and areas for improvement. The project will involve designing the user interface and integrating data from various sources such as sales reports and customer feedback. |
Type : Health Informatics | Date shared : Sunday, April 09, 2023 |
Description : This project aims to develop a mobile health application for patients with chronic diseases such as diabetes, hypertension, and asthma. The application will allow patients to track their health data and receive personalized recommendations for medication management and lifestyle changes. The project will involve designing the user interface and integrating data from medical devices and electronic health records. |
Type : Health Informatics | Date shared : Sunday, April 09, 2023 |
Description : An app that guides users through various meditation and mindfulness exercises. Users can set reminders and track their progress over time. |
Type : BSc - SE | Date shared : Sunday, April 09, 2023 |
Description : An app that allows users to search for recipes based on their preferences and dietary restrictions. Users can save their favorite recipes and create shopping lists. |
Type : Computer Science | Date shared : Sunday, April 09, 2023 |
Description : An app that helps users learn a new language through interactive lessons, quizzes, and games. |
Type : Business Informatics | Date shared : Sunday, April 09, 2023 |
Description : An app that helps users track their spending and budgeting. Users can set financial goals and receive notifications when they are close to reaching their limits. |
Type : Computer Science | Date shared : Sunday, April 09, 2023 |
Description : An app that aggregates news from various sources and allows users to personalize their news feed based on their interests. |
Type : Health Informatics | Date shared : Sunday, April 09, 2023 |
Description : An app that helps users take care of their plants by providing information on watering, fertilizing, and sunlight requirements. Users can set reminders and receive notifications when it's time to tend to their plants. |
Type : BSc - HIS | Date shared : Sunday, April 16, 2023 |
Description : The aim of this project would be to develop a mobile application that helps chronic disease patients manage their medications and adhere to their treatment plans. The app could include features such as medication reminders, tracking of medication schedules, educational resources, and links to healthcare providers. The project could involve designing and developing the app, testing its usability and effectiveness, and evaluating its impact on medication adherence and health outcomes. |
Type : BSc - HIS | Date shared : Friday, May 12, 2023 |
Description : Emotion detection systems are becoming increasingly important in mental health care as they have the potential to help clinicians identify and monitor changes in patients' emotional states. These systems use sensors and algorithms to analyze various physiological and behavioral signals that are associated with emotional states, such as facial expressions, voice tone, body language, and physiological signals like heart rate variability and skin conductance. By analyzing these signals, the systems can help diagnose mental health conditions such as depression, anxiety, and PTSD. Additionally, emotion detection systems can be used to track treatment progress and monitor symptoms over time, providing clinicians with valuable insights into the efficacy of treatments. Although there are concerns about the accuracy and privacy of these systems, the potential benefits they offer make them a promising tool in mental health care. |
Type : BSc - HIS | Date shared : Monday, June 26, 2023 |
Description : House price prediction using image detection is a complex task that aims to estimate the value of a property based on visual analysis. By utilizing image recognition techniques, key features of a house such as architectural style, landscaping, swimming pools, and views can be identified and considered in the prediction process. However, it is important to note that image detection alone is not sufficient to accurately predict house prices. Factors such as location, size, amenities, condition, market demand, and historical sales data must also be taken into account. Integrating image data with other relevant variables through machine learning algorithms enables the creation of more reliable prediction models. |
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