NexMove

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  AI-powered smart mobility platform showcasing real-time analytics, eco-friendly transport, emission tracking, and future innovations.

Inspiration: We were inspired by rising traffic congestion and pollution to create EcoMotion, an AI- and IoT-based system for smarter, greener mobility.

What it does: EcoMotion predicts traffic, optimizes routes, tracks vehicle health, and provides real-time analytics for efficient transport management.

How we built it: Developed with React.js, Flask, MongoDB, TensorFlow, and IoT sensors, deployed on AWS, with Mapbox for visualization.

Challenges: Integrating real-time data streams, ensuring prediction accuracy, and designing a unified, responsive dashboard.

Accomplishments: Built a working AI + IoT system, achieved live traffic prediction, and designed an intuitive dashboard for mobility insights.

What we learned: Gained hands-on experience in AI, IoT, and data visualization, real-time API integration, and sustainable smart-city innovation.

Built With

• javascript-frameworks:-flask
• languages:-python
• leaflet.js-iot-tools:-arduino-/-raspberry-pi-(for-data-simulation)-cloud-&-hosting:-aws-ec2
• mongodb-atlas-version-control:-git
• postgresql-visualization:-mapbox
• react.js
• scikit-learn-database:-mongodb
• tailwind-css-ai/ml-tools:-tensorflow