TechnoGenesis

LEARN

BUILD

GROW

LEARN

BUILD

GROW

LEARN

BUILD

GROW

LEARN

BUILD

GROW

LEARN

BUILD

GROW

LEARN

UNLEASHE YOUR TRUE POENTIAL

TechnoGenesis is a 24Hr hackathon organized by IEDC SSET to bring youths with different skills to compete to together to solve real world problems for a better future.

Theme

Road Safety

Problem Statement1

AI powered traffic management system

Detailed View

Problem: Existing traffic light infrastructure often lacks real-time adaptability, leading to inefficient traffic flow and congestion.

Challenge (Software & Hardware):

Software: Develop an AI-powered traffic management system that analyses real-time traffic data (vehicle density, accident reports, etc.) from a network of low-power wireless sensors installed at key intersections (hardware). The software should dynamically adjust traffic light timings based on the collected data to optimise traffic flow.
Hardware: Design and prototype a low-power, wireless sensor node (hardware) that can be easily installed on existing traffic light infrastructure. The sensor should collect data on vehicle density and communicate it securely to a central hub for real-time analysis.

Problem Statement2

Smart parking management system

Detailed View

Problem:Finding parking in busy areas is a time-consuming hassle, contributing to traffic congestion. Traditional parking metres offer limited functionality.

Challenge (Software & Hardware):

Software:Develop a mobile app that integrates with a network of smart parking sensors (hardware) installed in parking lots. The app should display real-time parking availability, guide drivers to available spots using GPS, and potentially implement dynamic pricing based on demand (software).
Hardware: Design and prototype a low-cost, low-power sensor (hardware) that can be installed in individual parking spaces. The sensor should detect vehicle presence and transmit this data wirelessly to a central system for real-time parking availability updates.

Problem Statement3

A real time traffic information platform

Detailed View

Problem:Commuters lack a unified platform for real-time traffic information, leading to unpredictable travel times and inefficient route choices. Existing traffic cameras lack AI processing capabilities.

Challenge (Software & Hardware):

Software: Develop a real-time traffic information platform that integrates data from various sources, including:

Existing traffic management systems (software)
A network of upgraded traffic cameras equipped with AI image processing capabilities (hardware) to analyse traffic flow and incidents.
Crowdsourced data from the mobile app (software) allowing users to report accidents or road closures.

Hardware:Design and prototype an upgrade kit for existing traffic cameras (hardware) that adds AI processing power and enables real-time traffic analysis. The platform should use this data to provide personalised route suggestions to commuters via a mobile app (software).

Winner

Rs 25,000

First Runner up

Rs 10,000