Medical insurance cost prediction using machine learning

## Project Request

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| Field | Description |
| ------ | --------------------------------- |
| About | Medical insurance cost prediction using machine learning |
| Github | Infini9te |
| Email | shubhamnegi1714@gmail.com |
| Label | Project Request |

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**Define You**

- [x] GSSOC Participant
- [x] Contributor

# Project Name

## Description

[Description of the project, its goals, and expected outcomes]
This project focuses on developing a machine learning model to predict medical insurance costs based on factors like age, gender, BMI, smoking habits, and region. The goal is to improve the accuracy and personalization of insurance premium estimations. By leveraging historical data, the model will learn patterns and relationships to make accurate predictions. The expected outcome is an efficient and reliable tool that assists insurance companies and individuals in estimating future medical insurance expenses. This project aims to enhance financial planning and decision-making in the healthcare sector.

## Scope
The scope of this project includes collecting and preprocessing a dataset containing information on age, gender, BMI, smoking habits, region, and corresponding medical insurance costs. The dataset will be used to train and evaluate a machine learning model for predicting insurance costs. The model will focus on personalization and accuracy, enabling insurance companies and individuals to estimate future medical insurance expenses.
[The project's boundaries, including its objectives, deliverables, and constraints]

## Timeline

[The project's estimated start and end dates, milestones, and deadlines for deliverables]
Start time: Assignment time
End time: 15 July 2023

## Video Links or Support Links

[Links that can support the project in anyway]