https://github.com/roshk01/money_mind_ai

AI-powered app to predict stock prices for the next 7 days using XGBoost and real-time data.
https://github.com/roshk01/money_mind_ai

data-visualisation deployment linear-regression model-evaluation-metrics streamlit xgboost-regression

Last synced: about 1 month ago
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AI-powered app to predict stock prices for the next 7 days using XGBoost and real-time data.

• Host: GitHub
• URL: https://github.com/roshk01/money_mind_ai
• Owner: Roshk01
• License: mit
• Created: 2025-07-02T16:38:15.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2025-07-02T17:31:23.000Z (12 months ago)
• Last Synced: 2025-07-02T18:26:47.096Z (12 months ago)
• Topics: data-visualisation, deployment, linear-regression, model-evaluation-metrics, streamlit, xgboost-regression
• Language: Jupyter Notebook
• Homepage: https://money-mind-ai.streamlit.app/
• Size: 437 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
📈 Money Mind AI

Empowering Smarter Investments with AI-Driven Insights




  

    

  

  

  

  



---

## 💡 Overview

**Money Mind AI** is an AI-powered stock price prediction tool that forecasts the **stock's closing price on every 30-day interval** using real-time financial data. Built with XGBoost, Linear Regression, and deployed via Streamlit, this tool helps users make informed investment decisions.

---

## 🔍 Key Features

- 📊 Real-time data using `yfinance`

- 📈 Predicts the **stock price on every 30-day interval**

- ✅ Interactive UI with Streamlit

- 📦 Clean and modular code

- 📉 Model evaluation metrics for performance validation

---

## 📊 Model Evaluation

| Metric               | XGBOOST   | Linear Regression  |

|----------------------|---------|------------|

| 🧮 Mean Squared Error (MSE)  | **10.02**  | **2.95**  |

| 📉 Mean Absolute Error (MAE) | **2.27**   | **1.25**  |

| 🎯 R² Score                  | **0.96**   | **0.99**  |

> ⚠️ Note: The model predicts **only** the stock’s closing price for the 30th future day interval based on past trends, not all days individually.

---

## 🛠️ Tech Stack

![Python](https://img.shields.io/badge/Python-3776AB?logo=python&logoColor=white)

![Pandas](https://img.shields.io/badge/Pandas-150458?logo=pandas&logoColor=white)

![NumPy](https://img.shields.io/badge/Numpy-013243?logo=numpy&logoColor=white)

![scikit-learn](https://img.shields.io/badge/Scikit--Learn-F7931E?logo=scikit-learn&logoColor=white)

![XGBoost](https://img.shields.io/badge/XGBoost-EC6C00?logo=xgboost&logoColor=white)

![Streamlit](https://img.shields.io/badge/Streamlit-FF4B4B?logo=streamlit&logoColor=white)

![yfinance](https://img.shields.io/badge/yfinance-0A66C2?logo=chart&logoColor=white)

![yfinance](https://img.shields.io/badge/Linear--Regression-632d91?logo=chart&logoColor=white)

---

## 🚀 Run Locally

```bash

git clone https://github.com/Roshk01/Money_mind_AI.git

cd Money_mind_AI

pip install -r requirements.txt

streamlit run app.py

```

📝 License

Licensed under MIT.

🔮 Future Improvements

Add sentiment analysis using financial news

Include LSTM-based deep learning models

Email alerts for price thresholds