Save The Stray 🐾: "Innovating Road Safety for Stray Animals" 🚗🐄

We invite you to be part of an exciting and impactful hackathon aimed at solving a critical road safety issue: accidents involving stray animals. 🛣️ This challenge brings together IoT, Machine Learning, Architectural Design, and App/Web Development to create innovative solutions that can detect, manage, and mitigate the risks posed by animals on roads. 🐾🚶‍♂️

This hackathon is an opportunity to combine technology and infrastructure in novel ways, addressing a real-world problem with high social impact. 💡 Whether you're working on sensor-based systems, AI-driven predictions, or user-friendly apps/web platforms, your solutions could make a tangible difference in improving road safety for both drivers and animals. 🐕💻

Join us as we collaborate to create safer roads, smarter cities 🌆, and a better future for all. 🌍

Problem Statement 🚨
Accidents caused by stray cattle 🐄 and other animals 🦊 on roadways present significant dangers, often resulting in injuries, fatalities, and property damage. 🏥🚑 The challenge is to create innovative solutions that integrate technology and infrastructure to detect animals on the road, alert drivers, and manage animal movement effectively. Potential solutions could involve the use of sensors, GPS tracking, driver notification systems, and physical deterrents. The ultimate goal is to enhance road safety, reduce accidents, and safeguard both drivers and animals. 🦺

Expected Solutions 🛠️
Animal Detection and Warning Systems 🐄🔍

Infrared Sensors & Cameras: Install thermal sensors and cameras to detect animals based on heat signatures, even in low light. 🌙
AI Animal Recognition: Use AI to analyze real-time footage from cameras and trigger alerts when animals are detected. 🤖
Ultrasonic Deterrents: Deploy sound-emitting devices to keep animals away from roads, without disturbing humans. 🔊🐾
GPS Tracking & Geofencing 📡

GPS Collars for Animals: Attach GPS collars to monitor animals and send alerts if they approach restricted road areas. 🧭
Predictive Models: Use machine learning to predict high-risk areas and times for animal movement, enabling targeted interventions. 📈
Driver Alert Systems 🚘⚠️

In-Vehicle Alerts: Integrate animal detection systems with vehicle alerts for real-time notifications to drivers. 🚨
Roadside LED Displays: Install dynamic displays to warn drivers of animal sightings ahead. 🖥️
Physical Infrastructure & Barriers 🚧

Animal Overpasses/Underpasses: Build designated animal crossing structures to prevent road entry. 🌉🐾
Reflective Markers: Use reflective road markers to deter animals from crossing. ✨
Speed Breakers & Signage: Install speed bumps and warning signs at known animal crossing zones. ⚠️🛑
Community Awareness & Involvement 🏘️

Reporting Apps: Develop apps for citizens to report stray animals, alerting authorities for swift action. 📱
Local Awareness Campaigns: Educate communities on animal crossing hotspots and safe driving practices. 🦺
Mode of the Challenge 🌐
Online

Registration Fee 💸
Free Registration

Submission Guideline 📝
Participants are expected to create a Github Repository and include a readme file explaining everything. 💻📂 Finally, participating teams must provide the proposed solution in a DOUBLE COLUMN IEEE FORMAT. Download the format from the link below:
👉 IEEE Format Template

Let’s work together to create safer roads, smarter cities, and a future where both humans and animals can coexist in harmony! 🐾🌍