Data Lens Development Project

Project Description Data Lens is a tool that summarizes and visualizes CSV data. Companies can upload datasets and quickly see a clear summary and charts without digging through rows manually. The project was built using AI assisted workflows with Lovable for development and Google Antigravity for design.

Objective The goal was to help companies get insights from data faster. Instead of spending hours reviewing spreadsheets, users can upload a CSV file and instantly see summaries and visual breakdowns.

Core Functionality When a user uploads a CSV file, the data is analyzed by AI. After processing, the user is redirected to a dashboard that shows a structured summary along with charts that make the data easier to understand. Users can also upload a previous version of the dataset to compare changes over time.

Data Visualization The dashboard focuses on simple visual insights. Data is displayed through histograms and pie charts so trends and distributions are easier to see. Key metrics can also be labeled to highlight important parts of the dataset.

UX and Design The interface uses a light green theme with a clean layout. The project includes both a landing page and a tool interface. The platform works well on desktop and mobile so users can review insights from anywhere.

Note: Cards in the what we do section are scattered since they are a part of a scrollstack. Final Outcome Data Lens helps teams get quick insights from raw data without spending hours in spreadsheets. Users upload a file, review the summary, explore the charts, and understand their data faster.

Tools Lovable, Google Antigravity Website: https://datalenses.lovable.app/