AI MCQ | FIFA

MoonTech OneSixEight

Data Scientist
Fullstack Engineer
AI Model Developer
GPT-3
pandas
Python
Project Duration: June 27, 2023 - July 20, 2023
Project Description:The primary objective of this project was to develop a sophisticated AI-driven software solution capable of automatically generating and accurately answering an extensive range of educational multiple-choice questions (MCQs) derived from the client's educational material.
Key Achievements & Technical Highlights:
Efficiency & Accuracy: Successfully developed a software solution that boasts a performance efficiency of between 95% to 100%, greatly exceeding typical industry standards for such applications.
Question Generation Script: In addition to the primary requirements, I implemented an extra script capable of infinitely generating questions while providing accurate answers. This feature amplifies the software's utility, offering an expansive pool of questions for educational purposes.
Technologies & Libraries: The project was predominantly executed using Python, leveraging several critical libraries, APIs, and frameworks to optimize performance and streamline functionalities. Notable libraries and tools employed include [Specify the Libraries and APIs used, e.g., TensorFlow, Keras, NLP techniques].
Project Management & Communication: Proactive communication was maintained throughout the project duration, ensuring that all client requirements were comprehensively addressed. Regular updates, iterative testing, and feedback sessions ensured the project's successful execution.
Feedback:The client provided a highly commendatory review, emphasizing my technical competence, proactive communication, and ability to deliver beyond the project's original scope. Notably, the client appreciated the additional feature that enhanced the software's value, showcasing my initiative, creativity, and dedication to providing optimal solutions.
Recommendation:The client's recommendation underscored my capabilities as a dedicated, highly skilled full-stack AI developer, further highlighting my expertise in machine learning and full-stack development. The client expressed keen interest in collaborating on future projects, testament to the project's success and the value I brought to the table.
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