View Proposal

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Proposer

Drishty Sobnath

Title

Currency Recognition System for the Visually Impaired with Computer Vision AI

Goal

The main aim of the project is to Train a model to detect and classify currency notes in different lighting and orientation.

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

Python programming, Statistical modelling, Computer Vision, Machine learning, PPE safety documentation, Data Science

Background

Url

Difficulty Level

Variable

Ethical Approval

None

Number Of Students

1

Supervisor

Drishty Sobnath

Keywords

Degrees

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