Since the beginning of my minor, I have been driven by a strong interest in predictive analysis, leading me to undertake this challenge. My goal was to apply the AI methodology taught in my major program at Fontys to a real-world scenario, specifically focusing on Zomato restaurant data in Bengaluru. Over the past six months, I have worked on this project iteratively, continuously refining my approach based on feedback from teachers and peers at Fontys. Throughout this process, I followed a structured framework, ensuring that each iteration brought me closer to a well-constructed predictive analysis. The iterative nature of my work allowed for continuous improvement and incorporation of insights from various stakeholders. This approach not only honed my technical skills but also enhanced my understanding of the predictive analysis framework. The project has been submitted to both my minor and major studies, serving as a testament to my ability to perform predictive analysis using Python and to follow a specific analytical framework. The dual submission underscores the interdisciplinary relevance of my work and its alignment with the learning outcomes of both programs. Embarking on this project at the start of my minor, I managed my own pace and tackled various iterations over six months. Each iteration involved refining models, improving data preprocessing techniques, and validating results to ensure robustness and accuracy. This final iteration represents the culmination of all these efforts. Additionally, this project contributes significantly to my learning outcomes for the minor, especially within the technical portfolio. It demonstrates my capability to apply theoretical knowledge in a practical setting, addressing complex problems through data-driven solutions. The skills and insights gained from this project will undoubtedly be invaluable as I continue to explore and innovate within the field of predictive analysis. In conclusion, this project not only showcases my proficiency in predictive analysis and Python but also highlights my commitment to continuous learning and improvement. The structured, iterative approach I adopted, combined with the invaluable feedback from Fontys, has culminated in a robust and insightful predictive analysis. This work stands as a significant milestone in my academic journey, reflecting both my technical capabilities and my dedication to achieving excellence in my studies.