CurrencyMark Alpha

Techs: Language: python (Frame work Flask) , React Native #System: Dell Core i5, #Tool: VS Code ,Jupyter Notebook
Department: Computer Science
MS Team URL: URL not found

Our system is a mobile and web-based application, specially designed for tourists but is also applicable for general users. As there are different countries in the world with their unique currencies so it is really difficult for people to recognize currencies. The main purpose of our system is to solve the problem of currency recognition, faced by tourists. Our basic aim is to provide a single platform for multiple tasks i.e. currency conversion, Latest currency rates, Chatbot and currency recognition to facilitate maximum tourists.

Project Objective:

  • The main purpose of our system is to solve the problem of currency recognition, faced by tourists.
  • Provide a single platform for multiple tasks i.e. currency conversion, Latest currency rates, and currency recognition to facilitate tourists.
  • Our system is not only applicable for tourists but we have target visually impaired people as well who cant recognize currency. To solve this issue we have provides voice output along with textual output
  • Provide them a chatbot when the face any difficulty the contact us directly.
  • On daily bases they know the latest Currency rate and provide feedback as well




Social-Economic Benefits:

Tourism Industries are growing day by day and the big part of economy of many countries are based on tourism. This app will provide facilities to the tourists for easy tour and increases the business of  Tourism as well.




Project Methodology:

We use Incremental Model Approach. For software development first we broken down the requirements into multiple standalone modules of software development cycle. Then analyzed the design and started the implementation, and at last performed testing and verification.




Project Outcome:

Tourists, visually impaired people, and online banking system find this application very useful in terms of currency recognition and detection. General purpose users may also get advantage of this application via currency converter and latest rates. Our average 90.4% accuracy of model is a big part of our systems user's satisfaction.

Project Team Members

Registration# Name Email
SP19-BSE-024
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TEHRIM ZAFAR hami.zeb564@gmail.com
SP19-BSE-001
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MUHAMMAD MUDASSAR SIDDIQUI mudassarsiddiqui484@gmail.com
SP19-BSE-030
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UMAR ZAMAN KHAN Princeumerkhan007@gmail.com

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