Survey Insights

What it does

Our application harnesses the power of Gemini AI to transform raw survey data into actionable insights through advanced data cleansing and analysis. We tackle common data challenges like multi-language inconsistencies, mixed data types, and unit mismatches by applying five key processes: Multi-Language Cleansing, Data Type Optimization, Data Normalization, Unit Conversion and Standardization, and Domain-Intensive Correlation.

By integrating Gemini AI, we generate Automated Narratives that clearly explain chart data, highlight key insights, and enhance the overall analytics process. Our solution extends a Python-based application with Gemini API integration, leveraging Jupyter Notebook for data refinement and Firebase for front-end visualization.

The result is a fully cleansed dataset, standardized and enriched for meaningful analysis. Gemini AI not only simplifies data but also enhances the accuracy and relevance of the insights, ensuring that every generated chart and narrative is contextually significant and actionable. This approach transforms our data analysis, making our machine learning models smarter and our insights clearer and more impactful.