Crypto Price Predictor AI

💡 Inspiration

Crypto markets are highly unpredictable and fast-moving. I was always curious—can we use machine learning to make smart guesses about crypto prices, like predicting tomorrow’s price using today's data?

So, I decided to create a project that combines finance and machine learning, even as a beginner.

🛠️ What I Built

I built a Crypto Price Predictor that uses past Bitcoin prices to predict future prices using Linear Regression. It reads CSV price data, cleans it, trains a model, and then gives a prediction for the next day's price. I also added a graph that compares actual vs predicted prices.

📚 What I Learned

• How to work with real datasets using pandas and numpy
• Basics of Machine Learning using scikit-learn
• How to visualize data using matplotlib
• How Linear Regression works and how models are trained and tested

🚧 Challenges I Faced

• Understanding how to prepare the dataset for training
• Choosing the right columns to use for prediction
• Handling missing values and cleaning real-world data
• Making the prediction output readable and useful

🚀 What’s Next?

In future, I want to:

• Try other models like Random Forest or LSTM
• Add more cryptocurrencies (Ethereum, Dogecoin, etc.)
• Build a simple web UI to display live predictions

Accomplishments that we're proud of

What we learned

What's next for Crypto Price Predictor AI

Built With

• dataset
• finance
• jupyter
• kaggle
• matplotlib
• notebook
• numpy
• pandas
• python
• scikit-learn
• yahoo