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B.Tech CSE Student || Web Development || C || C++ || Al & DevOps Enthusiastic || Cloud & Automation || Fullstack Web Development || Hackathons & Innovation ||
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NeuroFlare
March 12, 2026 – Present
AI-powered IoT fire prediction system using ESP32, MQ2 gas sensor, and Blynk that analyzes gas trends to predict fire risks and send real-time alerts to mobile devices.
View ProjectCultural Fit Analysis
The candidate's projects indicate an interest in innovative, problem-solving applications (AI-powered IoT, GitHub repository). The 'NeuroFlare' project shows initiative in developing a complete system from hardware to mobile alerts. However, the experience level is 0, and there is no explicit information on team collaboration or work attitude. The target role is 'Cloud', but the projects do not directly demonstrate cloud-specific skills, which might indicate a gap in direct alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no actionable insights.