Automated Data Analysis

This innovative project offers a powerful solution for automated analysis of CSV, XLSX, and TXT files. Leveraging advanced artificial intelligence techniques, particularly natural language processing (NLP), this web application allows users to gain relevant insights from their data with just a few clicks.

Key Features:

• Multiple Format Support: The application supports CSV, XLSX, and TXT files, providing users with great flexibility to analyze their data, regardless of the format.
• Intuitive Interface: A user-friendly and streamlined interface allows easy selection of the file to be analyzed and entering specific instructions to guide the analysis.
• Real-time Processing: Thanks to the use of WebSockets, the application offers an interactive experience by displaying analysis logs in real-time, allowing users to follow the progress of the analysis step by step.
• Code Generation: One of the major strengths of this project is its ability to automatically generate optimized Python code for data analysis. This code, generated using advanced language models, can be easily copied and reused for further analysis.
• Interactive Visualizations: The analysis results are presented in the form of detailed reports, enriched with interactive visualizations generated using popular libraries such as Matplotlib. Users can zoom and explore these visualizations to gain deep insights.

Technologies Used:

This project harmoniously combines several modern technologies to provide an optimal user experience and exceptional performance:

• FastAPI: A highly performant Python web framework, perfect for building robust and efficient APIs. FastAPI was chosen for its speed, ease of use, and compatibility with modern standards such as OpenAPI.
• WebSockets: The use of WebSockets allows real-time bi-directional communication between the server and the client, which is essential for providing instant updates on the progress of the analysis.
• AI Language Models: The integration of advanced language models, such as GPT, allows for automatically generating optimized Python code and providing accurate data analysis.

Although the analyses provided by the application are generally relevant, it is always recommended to carefully verify the results, especially for complex data or ambiguous instructions. Future improvements could include the use of even more advanced AI models and optimization of the user interface for an even more intuitive experience.

This project demonstrates my skills in full-stack web development, harmoniously combining powerful backend technologies with a responsive and aesthetic frontend interface. The seamless integration of cutting-edge AI models showcases my ability to create innovative applications that offer real added value to users.

Whether you are a data analyst looking to automate your workflows, a researcher exploring large datasets, or simply curious to gain insights from your files, this web application offers a powerful and user-friendly solution to assist you in your data analysis.