Inspiration
A deep passion to use AI and technology to solve real-world problems that impact lives.
What it does
It intelligently addresses the hackathon challenge using smart logic, data analysis, and AI-driven techniques.
How we built it
By brainstorming ideas, rapidly prototyping with Python, and using tools like Streamlit, APIs, and ML models.
Challenges we ran into
Working under time pressure with an unknown problem required fast thinking, adaptability, and precise teamwork.
Accomplishments that we're proud of
Turning raw ideas into a working solution within hours, and learning more about building meaningful tech under constraints.
What we learned
We learned how to approach unfamiliar problems, break them down quickly, and apply practical, scalable solutions.
What's next for Natural
We aim to refine this approach, explore deeper AI integration, and solve more complex real-world challenges.
Built With
- git
- google-maps
- jupyter-notebook
- matplotlib
- numpy
- opencv
- pandas
- pil
- python
- scikit-learn
- seaborn
- streamlit
- xgboost
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