📈 Automated Stock Analyzer (Flask Web App)

A web-based automated stock analysis and inventory tool built with Flask and Python. It allows users to upload data, analyze trends, track profit, and view insights through an interactive dashboard.

🚀 Features

• File Upload & Processing: Securely uploads CSV files and cleans dataset parameters.
• Profit Analytics: Visualizes top profit-generating items using interactive bar charts.
• Time & Growth Analysis: Analyzes day-wise and monthly sales trends.
• Inventory & Dead Stock Monitoring: Generates restock alerts, tracks high-demand products, and flags dead stock.
• ML Forecasting: Predicts future sales trends utilizing a RandomForestRegressor model alongside $R^2$ accuracy scoring.
• Customer Loyalty & Product Bundling: Computes VIP tables, visit distributions, and frequent item pairs.

🛠️ Tech Stack

• Backend: Python, Flask
• Data Processing: Pandas, NumPy
• Machine Learning: Scikit-learn (Random Forest Regressor)
• Visualization: Plotly (Express & Graph Objects)

⚙️ How to Run Locally

⚙️ How to Run Locally

1. Clone the repository:

   git clone [https://github.com/codecrafted155/automated-stock-analyzer.git](https://github.com/codecrafted155/automated-stock-analyzer.git)

2. Navigate to the project folder:

   cd automated-stock-analyzer ```

3. Install dependencies:

   pip install -r requirements.txt```

4. Run the Flask application:

   python app.py```

4.Open your browser and go to: http://127.0.0.1:5000/