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Replace your chat gpt api to access all the features. without ChatGPT API token some features may not work properly. you can replace your token by opening ChatGPT.py and changing YOUR_API_TOKEN with your token.

RocketAirInsightX

Gaining Insight into Air Pollution and Rocket Performance with Gradient Boosting Regression.

Description

The purpose of this program is to gather input data regarding rocket properties, such as maximum altitude, fuel type, fuel mass, and propellant mass. The resulting model calculates the amount of pollution emitted into the atmosphere during a rocket launch. Emitted gases include Black CO2, Black Carbon, NOx, nClx, Stratospheric Alumina and Methane. As the space industry continues to expand, it's important to monitor the effects of these vehicles. By doing so, we can work towards using eco-friendly fuels and developing facilities that promote environmentally-conscious space exploration in the future.

Features

Amount of Emmited Pollution Chat-GPT custom Suggestion for Rockets

Technologies Used

  1. Python
  2. Pandas
  3. NumPy
  4. Sklearn
  5. Joblib
  6. Flask
  7. JavaScript
  8. SCSS
  9. CSS
  10. Bootstrap
  11. ChatGPT API
  12. html

Getting Started

  1. Clone this repository

  2. Install dependencies pip install Pandas pip install numPy pip install sklearn pip install joblib pip install flask pip install flask-cors pip install Pandas

  3. To run the project, start by running our API_index file. This file functions as a server for ML predictions and other functionalities. To do this, run the command "python API_index.py". If you encounter any errors related to Flask CORS, you can run the command "pip install flask-cors" to allow browser requests to local machine. After starting the server, open the client-side folder and execute the index.html file, which serves as the user interface for our model. Our model is trained on a dataset, and we use it to determine the exact amount of pollution that can be released into the Earth's atmosphere by launching rockets. Additionally, we analyze the data provided by the user using our data and Chat-GPT API to provide more accurate and practical recommendations for reducing pollution caused by rocket launches.

#Here are some Preview of our program in action:

Landing Page

Result Page

Result Page

Result Page

Contributors Mohsen Sajjadi, Negar Nezhadi, Farbod Khorramvatan, Parham Zahedi

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