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-Garbhit Sharma (Leader)
-Rohan Srivastava
-Srishti Shukla
It was an amazing start with Ecency. Ecency was introduced to us by the volunteers of Vihaan-007. It was a new yet awe-inspiring opportunity for us to knew more about Hive which is a Blockchain technology.
The name of our project is LIFELINE. "Lifeline" is an innovative project dedicated to enhancing worker safety in industrial environments. It is made by integrating sensor-equipped devices with cloud-based infrastructure. Lifeline offers real-time monitoring and alerting systems for toxic conditions. Its user-friendly app provides workers with instant updates and alerts about toxicity levels, empowering them to take immediate action to protect themselves and others. The project leverages** machine learning** to analyze data patterns and predict potential hazards, further enhancing its capability to protect workers by providing advanced warning of possible dangers. Anchored in the principles of sustainability, Lifeline embodies a proactive approach towards workplace safety, contributing to safer and healthier industrial environments. **
Workers in industrial settings are put in danger when there isn't real-time monitoring for toxic conditions. Current safety procedures, such as *manual inspections or simple monitoring instruments, *may not provide timely updates or address all potential hazards. This implies that workers may unknowingly be exposed to dangerous substances for extended periods of time.
Furthermore, these manual inspections are labor-intensive and may require workers to enter hazardous areas. Thus, there is a great need for a novel approach that can identify threats quickly, alert workers to them, and contribute to everyone's safety in industrial environments.
KEY FEATURES:
Real-time Monitoring Lifeline provides real-time monitoring of toxic conditions in industrial environments, ensuring immediate detection of hazardous substances.
Cloud-based Platform: Lifeline's cloud-based platform allows for centralized data storage, analysis, and visualization, enabling easy access to critical information from anywhere.
Multi-sensor Integration: Lifeline integrates multiple sensors capable of detecting various toxins, providing comprehensive monitoring and analysis.
Alerting System: Lifeline alerts workers promptly when toxicity levels exceed safe thresholds, enabling quick response and risk mitigation.
Rugged Rover Platform: Lifeline includes a rugged rover platform for extending monitoring capabilities to remote and inaccessible areas, ensuring comprehensive coverage
Predictive Analysis: Lifeline incorporates machine learning algorithms to analyze historical data and predict potential hazardous conditions.
WORKFLOW:
We deserve to win because our project is directly based upon safety of the workers and has the potential to save millions of lives. Our sensor-infused project provides real time monitoring with advanced alerting systems with prior prediction.
USE CASES:
The link to the github repository is given below:
github_repository
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