Prajwal Gowda Email & Phone Number

Bengaluru, Karnataka, India

During my internship at Prinston Smart Engineers, I contributed to the development of a fully functional e-commerce website for a pizza shop, designed to streamline online orders and enhance user experience. Key responsibilities included:Front-End Development: Designed and implemented user-friendly interfaces using HTML, CSS, and JavaScript. Focused on creating responsive layouts that improved the overall user experience across devices.Back-End Development: Built server-side functionalities using Node.js and Express to handle user authentication, order processing, and data management. Integrated MongoDB for database management, ensuring secure and efficient storage of customer and order information.API Integration: Developed and integrated RESTful APIs for handling real-time order tracking, menu updates, and customer communication, facilitating smooth interaction between front-end and back-end services.Payment Gateway Integration: Implemented a secure payment gateway using Stripe API, allowing customers to make seamless online payments while ensuring data security.Testing & Deployment: Conducted end-to-end testing to ensure the website’s functionality, security, and performance. Deployed the website to a cloud platform (Heroku), ensuring scalability and uptime.This project gave me hands-on experience in full-stack web development, from design to deployment, enhancing my skills in both front-end and back-end technologies, as well as providing practical insights into building real-world e-commerce solutions.

Bengaluru, Karnataka, India

During my internship at Compsoft Technologies, I worked on an AI-driven project titled "Lip-to-Speech: Text Synthesis," aimed at converting lip movements in video content into accurate text. My responsibilities included:Data Collection & Preprocessing: Gathered and preprocessed video datasets, focusing on aligning lip movements with corresponding speech.Model Development & Training: Developed and trained machine learning models for lip-reading using neural networks, enhancing their efficiency in translating lip movements into coherent speech.Performance Evaluation: Tested and fine-tuned the model's performance by optimizing parameters and improving its accuracy and real-time processing speed.Collaboration & Reporting: Collaborated with team members to debug issues and improve model efficiency. Regularly reported results to senior developers and presented insights on model accuracy and performance improvements.Technology Stack: Utilized Python, TensorFlow, and OpenCV for video processing and model implementation.This internship provided valuable experience in AI-based video processing, giving me hands-on exposure to real-world applications of machine learning in speech synthesis and lip-reading technology.