View Proposal
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Proposer
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Drishty Sobnath
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Title
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Currency Recognition System for the Visually Impaired with Computer Vision AI
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Goal
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The main aim of the project is to Train a model to detect and classify currency notes in different lighting and orientation.
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Description
- This project aims to develop an AI-powered mobile application that assists visually impaired individuals in identifying currency notes through real-time image recognition. Using a smartphone camera, the system detects and classifies banknotes under various lighting conditions and orientations. The recognized denomination is then communicated via audio feedback using text-to-speech technology. The model is optimized for accuracy, speed, and offline functionality, ensuring accessibility in both urban and rural settings.
- Resources
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Python programming, Statistical modelling, Computer Vision, Machine learning, PPE safety documentation, Data Science
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Background
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Url
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Difficulty Level
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Variable
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Ethical Approval
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None
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Number Of Students
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1
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Supervisor
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Drishty Sobnath
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Keywords
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Degrees
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Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Master of Engineering in Software Engineering
Master of Science in Artificial Intelligence
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Information Technology (Software Systems)
Master of Science in Software Engineering
Bachelor of Science in Computing Science
Postgraduate Diploma in Artificial Intelligence
Bachelor of Science in Statistical Data Science