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Problem Statement
Urban traffic management systems lack real-time, integrated data combining traffic conditions with weather patterns. This results in poor routing decisions, delayed emergency responses, and inefficient traffic flow management.
Solution
Developed a comprehensive real-time ETL pipeline that integrates traffic APIs and weather data sources, processes millions of data points, and delivers actionable insights through interactive dashboards for traffic management and route optimization.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
Here's my concept!
Wildlife Hub connects citizens and volunteers to protect urban wildlife using AI
Core Features:
AI Scanner: Instantly identify species and get expert care advice.
Volunteer Alerts: One-tap emergency updates to notify nearby rescuers.
Neighbor of the Day: Daily educational facts to foster urban coexistence.
Love the community angle here. Curious — how are you thinking about verifying volunteers and ensuring fast response times? That trust layer feels key for adoption.
Commanding the Grid: AETHRA for #FigmaMakethon
The city isn't a database, it’s a living organism.
Inspired by data.europa.eu, AETHRA explores how open data can be utilized across public services for the common good. For #FigmaMakethon, I’ve envisioned a "Tech-Noir" command center that synthesizes the potential of 1M+ data points across 36 countries into a cinematic operations platform.
AETHRA transforms open data into a high-fidelity "Mission Control." Use it to orchestrate emergency services, optimize transit, and synchronize city-wide events—turning abstract numbers into immediate, life-saving urban action.
Explore the Grid: https://stand-bead-41217043.figma.site
This portfolio highlights my practical experience in data science and AI, covering end-to-end project workflows such as data analysis, feature engineering, model training, and evaluation. The projects demonstrate my ability to work with real datasets and build sol:utions that are both efficient and business-focused.
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