This project is a powerful automated web scraper that collects detailed information about ANY ENTITY(E.g., Dermatologists) across various cities in India using Selenium to interact with Google Maps. It is designed to run city-by-city, track scraping progress, and save data in a clean, structured format for each city.
I redesigned BlockLens to make blockchain intelligence feel clearer, faster, and more approachable. The revamp introduces a sharper visual identity, simplified navigation, stronger data hierarchy, and a seamless responsive experience.
Streamlined Dashboard
Key information is organized into a clean, focused overview, helping users understand market activity at a glance.
Intuitive Asset Discovery
Improved navigation and search make it easier to explore assets and reach relevant information quickly.
Clear Data Visualizations
Complex blockchain data is presented through accessible charts and visual cues that make trends easier to understand.
Real-Time Insights
Users can monitor changing market activity and make informed decisions using current, clearly presented data.
Responsive Experience
The interface adapts smoothly across desktop, tablet, and mobile without losing clarity or functionality.
Paper Trading
Users can practise trading strategies with simulated funds, explore market movements, and build confidence without risking real money.
The paper trading mode is the smartest inclusion here, it lowers the stakes enough that new users stick around long enough to trust the data. On a dark dashboard like this, letting one primary number own each card is usually what makes the hierarchy read instantly.