First Place at Unplugged 2.0 Hackathon
February 2024

First Place at Unplugged 2.0 Hackathon

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Won first place at Unplugged 2.0 Hackathon hosted by D. J. Sanghvi College with a smart travel assistant project powered by AI and real-time data processing.

First Place at Unplugged 2.0 Hackathon

Overview

This hardware-focused hackathon challenged participants to bridge physical devices with smart software. Our team developed a travel assistant app powered by AI agents, integrated with real-time sensor data, maps, and crash detection systems.

The event, hosted by D. J. Sanghvi College in Mumbai, brought together some of the brightest minds in technology to solve real-world urban mobility challenges.

Project: Smart Travel Assistant

Our winning solution combined cutting-edge AI with practical hardware integration to create a comprehensive travel safety and efficiency platform.

Key Features

  • Context-Aware AI Agent: Built using LangGraph for dynamic route queries and intelligent decision-making
  • Crash Detection System: Implemented YOLO v11 trained on custom dataset for real-time accident detection
  • Smart Routing: Real-time routing system that integrates live traffic and incident data
  • City Dashboard: QGIS-powered administrative dashboard for urban planning insights

Technical Highlights

AI Agent Development

  • Utilized LangGraph framework for creating conversational AI agents
  • Implemented context-aware query processing for travel recommendations
  • Integrated multiple data sources for comprehensive route planning

Computer Vision Pipeline

  • Custom YOLO v11 model training for crash detection
  • Real-time video processing with optimized inference speeds
  • High accuracy detection even in challenging lighting conditions

Smart City Integration

  • Real-time sensor data integration from IoT devices
  • QGIS mapping for geospatial analysis and visualization
  • Administrative dashboard for city planning insights

Impact and Recognition

This victory marked a significant milestone in my journey, helping me expand beyond traditional software development into:

  • IoT and Smart City Technologies
  • Real-time Data Processing
  • Hardware-Software Integration
  • AI Agent Development

The project demonstrated how AI can be practically applied to solve urban mobility challenges while providing valuable insights for city administrators.

Technologies Used

  • AI/ML: LangGraph, YOLO v11, Custom Neural Networks
  • GIS: QGIS, Geospatial Analysis
  • Hardware: IoT Sensors, Real-time Data Processing
  • Backend: Python, FastAPI, WebSocket connections
  • Frontend: React, Real-time Dashboard

Awards and Recognition

  • 🥇 First Place at Unplugged 2.0 Hackathon
  • Best Hardware Integration special mention
  • Most Practical Solution runner-up

This achievement reinforced my passion for developing technology that has tangible real-world impact and prepared me for future challenges in smart city development and AI applications.