ConEV

• 

  our project

gitHub link: https://github.com/SafaObuz/IEEEHack2023 video link: https://youtu.be/vMBWf9ITRgI

Inspirationaolm

The ConEV project is inspired by our team's strong commitment to environmental sustainability and our belief that everyone has a role to play in protecting the planet. We recognize that human daily habits and activities, no matter how small they are, can significantly impact the environment. ConEV is here to consult each individual to reduce their carbon footprint. We are aiming to create a more conscious and responsible society, one where every single individual is educated well to make eco-friendly choices on a daily basis.

What it does?

ConEV is a web-based platform that enables users to assess their carbon footprint by providing information on their daily habits, such as travel time, diet, and electricity usage. Using this information, our project can calculate the total carbon footprint of the user. If a user's carbon footprint is higher than the US national footprint, it means that they may be contributing more to greenhouse gas emissions than is sustainable for the environment. ConEV provides a personalized recommender chatbot provides response that help user to reduce their carbon footprint index. These recommendations are made to the user's specific habits. They can include actions such as reducing energy usage, switching to renewable energy sources, reducing meat consumption, using public transportation or carpooling, and reducing waste. This feature would help them make more environmentally-friendly choices.

How we built it

We used openAI's APIs as a key to generating responses for our chatbot. It is the GPT-3 DaVinci base model.

Challenges we ran into

We ran into a variety of challenges from brainstorming ideas to the technical side of the project. At first, we tried to work on the ecological footprint per person. However, we found at that there are a lot more unattainable variables that need to be considered so we switched to the carbon footprint. We also found trouble in functioning the slider in the questionnaire. Our chatbot is currently performing as expected, but we are always looking for ways to improve its functionality. On thing we would like to focus on after the hackathon is to train and deploy our own consulting model to better understand and respond to user's questions.

Accomplishments that we're proud of

This is our first hackathon ever, so we are so proud of everything we have learned throughout the project from utilizing openAI's APIs and learning the Flask framework to make the chatbot generate advice which are relevant to our environmental theme.

What we learned

As freshmen students, we were completely new to coding and programming. Initially, we had no understanding of how servers work and had to start learning from the very basics. Our lack of skills and knowledge pushed us to learn them through a hackathon. Through the hackathon project, we were able to acquire an extensive range of new skills and knowledge.

What's next for ConEV

During the brainstorming process, we had planned to visualize forecasted data, but unfortunately, we did not have the opportunity to try it out. Our idea was to create a line graph that models the daily pollutant emissions resulting from the user's resource consumption habits, assuming no changes in behavior. This visualization would serve as a powerful tool to illustrate the impact of individual actions on the environment and motivate users to adopt more sustainable practices. We hope to incorporate this feature in future iterations of our project. Additionally, we want to expand our target audience to business settings, especially start-ups. We want to consult on environmental impact if they want to initial any project. With this idea, we wold consider more variable, not just ecological/carbon footprint, but damages forecasting and competitor analysis.

Built With

• api
• css
• flask
• html
• javascript
• openai
• python