EnviroBot

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  EnviroBot

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  What is EnviroBot - By EnviroBot

Inspiration

The inspiration behind EnviroBot is the growing need for environmental awareness and protection. We wanted to create a project that would provide easy assistance to anyone, about anything environment-related. Sustainable development and staying green are the keys to a better future. We must address climate change, maintain clean practices, and keep our world clean and safe for future generations. We wanted to build an app that can educate people and give them any information they need about sustainability and climate change.

What it does

EnviroBot is a chatbot that aims to educate and assist users in practicing environmentally friendly behaviors, such as recycling and proper waste disposal. It provides accurate responses to any and all environment-related questions you might have!

How we built it

We built EnviroBot using natural language processing (NLP), keyword grouping and matching, and machine learning (ML) algorithms. We also used data on environmental protection and waste management to train the chatbot.

Challenges we ran into

One of the biggest challenges we faced was finding the right balance between the data, keyword matching, and other techniques. It took a lot of trial and error to develop a model that could accurately understand and respond to users' questions.

Accomplishments that we're proud of

We're proud of developing a chatbot that can help people learn about and adopt environmentally-friendly practices. Additionally, we're happy to have developed a chatbot that is easy to use and can provide information quickly and efficiently. We are also excited at the huge potential for expansion and the simplicity of filling in gaps in EnviroBot's knowledge because all it takes is the addition of data!

What we learned

Throughout the development process, we learned a lot about NLP and ML algorithms, as well as the challenges of working with environmental data. We also learned how important it is to consider user experience when designing a chatbot.

What's next for EnviroBot

In the future, we hope to improve EnviroBot's capabilities by integrating it with other platforms, such as social media and messaging apps. We also plan to expand its database and improve its accuracy by incorporating user feedback and implementing more advanced ML algorithms. The great thing about EnviroBot is its endless potential for expansion because it is based on the data provided to it, meaning that we can expand its knowledge with the simple addition of data, filling in gaps in its knowledge and making it even more comprehensive of the environment that it already is.

Built With

• machine-learning
• natural-language-processing
• nltk
• pickle
• python
• replit
• spacy
• tkinter