DataSenseAI

DataSenseAI is a Streamlit-based application that leverages the Google Gemini API to provide intelligent insights and visualizations on user-uploaded datasets. The app allows users to upload CSV files, explore data summaries, generate AI-powered insights, and visualize data trends.

Features

• Upload Datasets: Upload CSV files to analyze.
• Data Summary: Generate a quick summary of the dataset, including basic statistics.
• AI Insights: Use the Google Gemini API to provide intelligent insights and interpretations of the data.
• Custom Visualizations: Visualize data using Box Plots, Violin Plots, Bar Charts, and Scatter Plots.
• Export Insights: View and analyze insights directly in the app.

Installation

1. Clone the Repository:

   git clone https://github.com/mojmo/DataSenseAI.git
   cd DataSenseAI

2. Install Dependencies:

   pip install -r requirements.txt

3. Set up Google Gemini API:

   • Go to the Google AI for Developers.
   • Create a .env file in the root directory of the project and add your API key:

   GEMINI_API_KEY=your_api_key_here
   

4. Run the Application:

   streamlit run app.py

   You can access the app at http://localhost:8501 in your web browser.

Usage

1. Upload a Dataset

   • Click the "Upload your dataset" button and select a CSV file.

2. Explore Data

   • The app will display a preview of the dataset.
   • Use the "Data Summary" section to get a quick overview of the data.
   • Use the "Full Dataset" section to view the entire dataset.

3. Select Columns to Visualize

   • Select the columns you want to visualize.
   • You can choose to visualize the data for a single column or two columns at once.

4. Generate Insights

   • Click the "Generate Insights" button to generate AI-powered insights.
   • The app will display the insights in the Insights section.

5. Visualize Data

   • Use the "Select X-axis (optional)" and "Select Y-axis" dropdowns to select the columns you want to visualize.
   • You can choose to visualize the data for a single column or two columns at once.
   • The app will display the visualization in the Insights section.

Demo

You can try the app by uploading a CSV file and exploring the data. Here's a demo of the app in action:

DataSenseAI.mp4

Screenshots

Contributing

Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request on the GitHub repository.

License

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