A big data project to develop a real-time data pipeline for analyzing the popularity and sentiments of trending topics on Twitter.
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Updated
Jun 21, 2022 - Scala
A big data project to develop a real-time data pipeline for analyzing the popularity and sentiments of trending topics on Twitter.
Geo-visualization for energy system
CURENT Large-scale Testbed
This is a nature simulation in the unity 3D engine
It is an intelligent geo-visualization and environmental analysis platform that leverages spatial data, mapping, and interactive dashboards to provide insights into geographic patterns, terrain data, and location-based analytics.
DSH 地理数据可视化插件:对话中出现地理数据时,对话流中直接渲染一张基于 [MapLibre GL JS]的交互式地图卡片
MapmyIndia GeoAnalytics APIs - MapmyIndia’s Data served through convenient and easy to use web APIs
It is a geolocation-based analysis and visualization tool designed to map, track, and analyze location data through an interactive interface, enabling users to gain spatial insights, monitor geographic patterns, and explore data-driven location intelligence for smart applications.
Built a Splunk dashboard to monitor SSH logs — visualizing login attempts, failed connections, and brute-force attacks. Created panels for SSH activity summaries, authentication trends, and geo-location analysis of attack origins, with a shared time-range filter for dynamic data exploration.
This project facilitates users to retrieve PhonePe transaction and user data, store it in a MySQL database. Subsequently, the stored data is visualized in a Streamlit web application using Plotly and Pandas DataFrame.
An interactive Three.js globe of every NFL team's 2025 flight schedule — great-circle road-trip arcs, team-coloured, total miles tallied.
This project helps user to perform trend analysis, pattern recognition, and deriving data insights through exploratory data analysis (EDA) for the Airbnb data. Created an interactive Powerbi dashboard to analyze Airbnb data.
An interactive Streamlit and Plotly dashboard that extracts, processes, and visualizes digital payments and user data from the PhonePe Pulse GitHub repository using MySQL and Python.
Data analysis on a comparison of the cost of living in various cities around the world with maps
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