• Source: Provided by the Mexican government.
• Attributes: Contains patient preconditions (e.g., pneumonia, diabetes, hypertension, cardiovascular issues, obesity, tobacco use, renal chronic conditions), patient information (age, gender, patient ID), and COVID-19 test results.
• Objective: Examine how preconditions relate to COVID-19 outcomes, considering the potential impact of diet on these conditions.

• Source: Acquired from Kaggle.
• Attributes: Encompasses diverse diet patterns from countries worldwide, covering aspects such as alcoholic beverages, animal fats, cereals, eggs, fruits, milk, spices, etc. Also includes data on confirmed COVID-19 cases and death rates.
• Objective: Visualize and analyze global diet patterns and their potential connection to COVID-19 cases and mortality.

• Methodology: Combining Dataset 1 and Dataset 2 to analyze how diet may influence preconditions and subsequently impact COVID-19 outcomes.
• Approach: Employ machine learning algorithms to predict COVID-19 outcomes based on a combination of preconditions and diet.
• Result Visualization: Utilize Python's Seaborn library to create visualizations for a clearer understanding.

• Source: A compilation of datasets from both GitHub and Kaggle.
• Objective: Develop a model to differentiate between healthy individuals and those with COVID-19 based solely on X-Ray or CT scans.
• Contribution: Contribute to the advancement of COVID-19 diagnostics using medical imaging.

• Source: Includes COVID-19 data for India and the world, along with vaccine-related data.
• Objective: Visualize and predict COVID-19 outbreaks, with a focus on India. Assess the impact of vaccination on the decline in COVID-19 cases.
• Significance: Offer insights into the effectiveness of vaccination campaigns.

This project offers a comprehensive analysis of COVID-19, encompassing preconditions, diet patterns, diagnostic tools, and outbreak predictions. The findings can inform healthcare strategies, especially in the context of diet-related preconditions and diagnostic advancements.

https://drive.google.com/drive/folders/1AYrO_2e88oj3KRnywJGfUYAAO93_Wo56?usp=sharing