Hi, I'm Priyanshu Tripathi

AutoMed Alert: A real-time accident detection system using YOLOv8, Twilio alerts, and live maps dashboard. Built with Node.js backend, Google Maps API integration, and camera feed processing. Integrated Twilio for instant WhatsApp and SMS alerts to hospitals and families. Enabled real-time vehicle tracking with dynamic data updates. Strengthened debugging skills in handling asynchronous data streams and sensor integration. Enhanced AI model deployment skills for real-world IoT scenarios.

MUNNA - AI Coding Assistant: An AI-powered code generation and debugging assistant using React.js, Firebase, and OpenAI API. Supports intelligent code generation, file upload, and project save features. Uses Firestore for chat storage and user authentication. Integrated structured modular UI with Tailwind CSS for clean interfaces. Strengthened skills in API handling, token management, and scalable architecture. Aids developers with seamless, automated coding workflows.

SafeSphere: AI-powered personal safety system with YOLOv8 threat detection, voice emotion analysis, and geo-fencing. Sends instant alerts to emergency contacts using Twilio/Firebase. Built live dashboards with charts and maps for real-time monitoring. Implemented stress analysis to detect panic in voices during threats. Enhanced skills in real-time data visualization and hardware-software integrations. Focused on deploying effective personal safety systems for user protection.

Calorie Calculator: Web application to calculate daily calorie intake for fitness tracking. Built using HTML, CSS, and JavaScript with clear validation. Implements dynamic UI updates for user-friendly experience. Enhances healthy habit development by providing daily calorie goals. Helped strengthen frontend validation, DOM handling, and user input management. Lightweight, responsive design for use on any device.

To-Do List: Interactive task management app using HTML, CSS, and JavaScript for effective daily productivity. Allows users to add, edit, delete, and mark tasks as complete. Uses localStorage for data persistence across sessions. Added filtering for completed and pending tasks to enhance task management. Strengthened event delegation skills and UI feedback loops. Mobile-responsive and lightweight for practical daily use.

AVERIXIS SOLUTION: AI/ML Intern working on data preprocessing, model training, evaluation, and pipeline development.

BEON NEXT: Web Developer Intern creating responsive websites, enhancing UI/UX and debugging issues.