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DSSential is an advanced decision support system that leverages AI, time series forecasting, and scenario analysis to empower businesses with data-driven insights and optimization. Make smarter decisions with cutting-edge tools for forecasting, sensitivity analysis, and goal setting.

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🌟 DSSential: The AI Chief 🌟

Overview

Welcome to DSSential: The AI Chief — your next-gen Advanced Decision Support System 🚀! This powerful tool integrates cutting-edge AI and statistical modeling techniques to help businesses make smarter, data-driven decisions. From time series forecasting to sensitivity analysis and goal optimization, we've got it all to empower your decision-making 🔮.

Key Features

  • 📊 Data Upload & Overview: Easily upload your datasets, and automatically perform quality checks and visualizations.
  • 🔮 Time Series Forecasting: Make precise predictions with confidence intervals using the Prophet model. Anticipate future trends and risks!
  • 🔍 What-If Analysis: Simulate different scenarios and assess the impact of changes on your outcomes with Monte Carlo simulations.
  • ⚙️ Sensitivity Analysis: Understand how sensitive your model is to changes in input parameters and identify critical drivers of your results.
  • 🧩 Scenario Analysis: Compare different business scenarios and evaluate risks and rewards through Monte Carlo simulations.
  • 🎯 Goal Setting Optimization: Use Optuna to fine-tune your model parameters and achieve your business goals with precision.

🚀 Technology Stack

  • Python Libraries:
    • 🖥️ Streamlit: Build interactive web applications.
    • 📊 Pandas & NumPy: Efficient data manipulation and numerical analysis.
    • 📈 Plotly: Create interactive and beautiful plots and charts.
    • 🔮 Prophet: Time series forecasting at its finest.
    • 🧠 Google Gemini API: Get AI-generated insights from large language models (LLMs).
    • ⚙️ Optuna: Optimize parameters and models.
    • 🧮 SALib: Perform advanced sensitivity and scenario analysis.
    • 🔬 Scipy: Statistical modeling and Monte Carlo simulations.

✨ How It Works

1. Data Upload & Overview 📥

  • Upload your CSV files for automatic data preprocessing, imputation, and scaling.
  • Explore the dataset with visualizations and data quality checks to ensure clean, insightful analysis.

2. Time Series Forecasting 🔮

  • Select a target variable for forecasting and use Prophet to generate predictions.
  • Visualize historical data and future forecasts, with confidence intervals and trend lines.

3. What-If Analysis 🤔

  • Simulate "what-if" scenarios by tweaking key variables.
  • Monte Carlo simulations help assess uncertainty and calculate the potential impact of different changes.

4. Sensitivity Analysis 🎯

  • Evaluate how changes in input parameters affect your target variable.
  • Use Sobol sensitivity analysis to identify which variables matter most.

5. Scenario Analysis 🧩

  • Compare multiple scenarios with adjustable parameters.
  • Perform simulations using Monte Carlo to evaluate risks and opportunities.

6. Goal Setting Optimization 🎯

  • Optimize your model's parameters with Optuna to achieve your desired business outcomes.
  • Use multi-objective optimization to explore the best solutions for your goals.

🤖 AI Insights

AI-generated insights powered by Google Gemini provide an extra layer of analysis! 💡

  • Trend analysis 📈
  • Risk assessment ⚠️
  • Recommendations 💡
  • Identifying significant changes 📊

🛠️ Installation

To run DSSential locally:

  1. Clone the repo:

    git clone https://github.com/your-username/dssential.git
    cd dssential
  2. Install the required dependencies:

    pip install -r requirements.txt
  3. Run the application:

    streamlit run app.py

🌍 Example Usage

  1. Data Upload & Overview 📥: Upload a CSV and get an instant data overview, including quality checks, visualizations, and insights.

  2. Forecasting 🔮: Select a column to forecast. The system trains a Prophet model and displays the forecast along with confidence intervals and trends.

  3. What-If Analysis 🤔: Modify variables and simulate scenarios to see how they affect business outcomes. Visualize the distribution of possible results with Monte Carlo simulations.

  4. Sensitivity & Scenario Analysis 🎯: Perform Sobol sensitivity analysis to understand variable importance, and simulate various business scenarios to compare outcomes.

  5. Goal Setting Optimization 🎯: Define your optimization goals and use Optuna to fine-tune parameters, achieving the best outcomes for your business.

🧑‍💻 Contributing

Want to contribute to DSSential? Awesome! 🤩 Here's how:

  1. Fork the repo.
  2. Create a new branch (git checkout -b feature/your-feature-name).
  3. Commit your changes (git commit -am 'Add new feature').
  4. Push to the branch (git push origin feature/your-feature-name).
  5. Open a Pull Request!

📜 License

This project is licensed under the MIT License. See the LICENSE file for details.


DSSential is your all-in-one decision-making companion 🌟! Whether you're forecasting trends, analyzing scenarios, optimizing goals, or generating AI insights, this tool equips you with the power to make informed, data-driven decisions that lead to success 🚀.

Start using DSSential today and unlock the full potential of your business with cutting-edge technology!

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DSSential is an advanced decision support system that leverages AI, time series forecasting, and scenario analysis to empower businesses with data-driven insights and optimization. Make smarter decisions with cutting-edge tools for forecasting, sensitivity analysis, and goal setting.

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