Software Engineer | Ex-Oracle | Javascript | ReactJS | Python(PCAP certified)

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Prasoon Mahawar • Peerlist

Dynamic QR Code Generator offers a seamless way to create and manage QR codes that are not only functional but also visually appealing. With this tool, you can design dynamic QR codes that can be updated without altering the QR code image itself. This feature is particularly useful for businesses that need to frequently update their content while maintaining the same QR code. <h3>Key Features:</h3><ul><li>Customization Options: Fully customizable QR codes that are brand-ready and trackable with real-time analytics.</li><li>Static and Dynamic QR Codes: Generate static QR codes for permanent content like URLs and contact information, or opt for dynamic QR codes for content that changes over time.</li><li>Multiple Formats: Export your QR codes in PNG, JPG, or SVG with print-ready quality.</li><li>Pixel Perfect: Sharp, scalable graphics ready for print or web use.</li></ul> This tool is ideal for marketers, businesses, and individuals looking to leverage QR codes for various applications, from advertising to personal branding. The integration of NextJS ensures a smooth and responsive user experience, making it a reliable choice for generating QR codes efficiently.

QuickTag

Prompt Forge is a web application designed to refine and enhance AI prompts for better results. It leverages advanced AI models to optimize user-provided prompts, ensuring clarity, specificity, and effectiveness across various modalities.The app aims to improve the quality of AI-generated content by providing structured and optimized prompts.

PromptForge

Optimize your resume with AI. Get instant ATS compatibility scores and tailored improvements.

SudoResume

🤔 Can a portfolio be both elegantly minimal AND mind-bendingly 3D? The answer is YES! 🎉 I'm thrilled to unveil my brand new developer portfolio, featuring two distinct yet equally captivating experiences. Explore the calm simplicity on one side, then journey into a dynamic 3D world on the other. What are your thoughts? Let me know!

Portfolio

GitInsight

Developed a CNN-based model to detect melanoma with an impressive accuracy of 0.81, demonstrating strong proficiency in machine learning and deep learning techniques. Leveraged data augmentation techniques to effectively address class imbalance, ensuring the model's robustness and generalizability across diverse datasets. This project highlights my ability to apply advanced AI methodologies to real-world problems, showcasing my expertise in handling complex datasets and enhancing model performance. My work not only underscores my technical skills in CNN architecture but also reflects my commitment to delivering high-quality, impactful solutions in the field of medical diagnostics.

Melanoma Detection

Designed and implemented a personalized news recommendation system aimed at delivering highly relevant articles to users based on their interests. Leveraged advanced NLP techniques to build a robust model capable of understanding user preferences and providing tailored content. Achieved a significant milestone by creating a model with an RMSE score of 0.66, highlighting its accuracy and effectiveness. This project showcases my proficiency in natural language processing and recommendation algorithms, demonstrating my ability to create impactful solutions that enhance user experience through precise and personalized content delivery