Tehmina Zafar

Dynamic and versatile professional with a strong passion for artificial intelligence, machine learning, and data science. Demonstrated ability to generate innovative ideas and solutions, leveraging a solid educational foundation. Proficient in troubleshooting technical issues and skilled in Microsoft Office Suite, aiming to contribute expertise while continuously acquiring new skills.

• Real-time Virtual Assistant Translator with Facial Recognition Capabilities, an innovative project that combines natural language processing, machine learning, and computer vision to enable seamless real-time translation of spoken languages while integrating facial recognition.
• Economic Forecasting of New Zealand with Electronic Card Transaction Data Using Machine Learning Models, utilized machine learning models to forecast the New Zealand economy by analyzing various indicators through debit card transaction data.
• Improving Emergency Department Triage in Mass Casualty Incidents Using Machine Learning involves the application of various machine learning models to predict patient severity and identify potential instances of mistriage in emergency departments. mistriage in emergency departments.mistriage in emergency departments.
• Design and Comparison of Game Ontology Using SAPI and Template Based SR Engines in Mobiles, Compared two speech recognition techniques to enhance the gaming experience on mobile devices.

• A research paper titled, "Economic Forecasting of New Zealand with Electronic Card Transaction Data Using Machine Learning Models" has been accepted and published in IEEE 9th International Conference on Engineering, Technologies & Applied Sciences (ICETAS 2024). The research highlights how machine learning models can leverage electronic card transaction data to improve economic forecasting accuracy for New Zealand.
• Research article titled, "Real-time Virtual Assistant Translator with Facial Recognition Capabilities" is under review for MDPI journal.