Artificial Intelligence (AI) innovation was at the forefront as our Bachelor of Information Technology (BIT) students showcased their outstanding capstone projects at the Natural Language Processing (NLP) Innovation Fair.
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At SHEA, our students are encouraged to go beyond theory and apply their knowledge to real-world challenges. As part of their capstone projects and AI and Machine Learning presentations, students showcased innovative projects across artificial intelligence, machine learning, data analytics, computer vision, and digital technology.
The projects demonstrated the breadth of skills our students are developing and highlighted how emerging technologies can be applied to solve practical problems across healthcare, finance, security, transportation, and creative industries such as photography.
Exploring the Real-World Applications of AI
A key theme across the presentations was the practical application of Artificial Intelligence and Machine Learning across a diverse range of industries.
CNN-Based Cervical Cytology Classification
Students explored the use of Convolutional Neural Networks (CNNs) for cervical cytology classification, demonstrating how deep learning and image recognition can be applied to medical imaging.
Signature Forgery Detection Using Siamese CNN
The Signature Forgery Detection project explored the use of a Siamese CNN with contrastive loss for writer-independent verification, demonstrating how AI can support applications in identity verification, document security, and fraud detection.
AI-Based Pneumonia Detection from Chest X-Ray Images
Students investigated AI-based pneumonia detection using chest X-ray images and deep learning, exploring how computer vision can identify patterns in medical images and support healthcare applications.
Professional Photography Planner
The Professional Photography Planner project demonstrated how technology can also be applied to creative industries, helping photographers plan, organise, and manage their projects more efficiently.
NIFTY 50 Stock Prediction
Using financial data and predictive modelling, students explored NIFTY 50 stock prediction, investigating how data analytics and machine learning can be used to identify patterns and trends in financial markets.
Real-Time Visual Perception for Autonomous Driving
The Real-Time Visual Perception for Autonomous Driving project explored the application of AI and computer vision in intelligent transportation, focusing on how machines can interpret visual information from their surroundings.
Predicting Customer Churn in Banking Using Artificial Neural Networks
Students also explored the use of Artificial Neural Networks to predict customer churn in banking. The project examined how AI can analyse customer behaviour and identify patterns that may help businesses develop more effective customer retention strategies.
Turning Learning into Real-World Solutions
These projects demonstrate the growing role of AI and emerging technologies across a wide range of industries.
By working on practical projects, our students are developing more than just technical knowledge. They are learning how to identify problems, analyse data, develop technology-driven solutions, and present their ideas with confidence.
From healthcare and banking to autonomous vehicles, finance, and creative industries, our students are putting AI into action and exploring how technology can shape the future.
At SHEA, we are proud to see our students learning, innovating, and applying AI to real-world challenges.
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