AI Developer

Case Study Summary Executive Summary Val's Screen Recorder is a free, browser-based application offering advanced features like Picture-in-Picture (PIP) compositing, real-time transcription, and direct cloud integration. Built on a serverless architecture, it provides a powerful alternative to commercial software without installation or fees. Problem & Stakeholders The application addresses the market gap between powerful, costly software and overly simplistic free tools. As a portfolio project, it serves both the developer (demonstrating technical skill) and end-users (students, professionals) who gain a free, high-utility community tool. Technical Architecture & Tech Stack The application's serverless architecture runs entirely in the browser, using a finite state machine for robust logic. Core Tech: Future Improvements Future plans focus on refining the UX/UI, enhancing transcription accuracy and recording length via cloud services, and evolving the tool into a full platform with a Content Management System (CMS) for user accounts and media libraries.

Case Study Summary Executive Summary LinkUp Live is a lightweight and performant video conferencing application designed to provide a frictionless meeting experience for remote teams. It prioritizes a clean user interface and essential collaboration features—including high-quality video/audio, screen sharing, and recording—to allow users to focus on communication, not complex technology. Problem & Stakeholders The application addresses the need for a seamless alternative to cumbersome or feature-bloated communication tools in a distributed work environment. The primary stakeholders are remote workers, distributed teams, and students who require reliable virtual collaboration. The developer is also a key stakeholder, driving the project's vision and maintenance. Technical Architecture & Tech Stack The application is built on a modern, high-performance stack chosen for its robust ecosystem and developer experience. Future Improvements The future roadmap focuses on expanding functionality with features like in-meeting text chat, cloud recording options, and AI-powered enhancements such as virtual backgrounds and noise cancellation. Further plans include adding user authentication, calendar integration, and a full accessibility audit to ensure WCAG compliance.

Case Study Summary Executive Summary The Job Placement Roadmap Builder is a strategic tool that transforms job descriptions into personalized, actionable career roadmaps using AI. It empowers mid-career professionals and career changers to identify and bridge specific skill gaps, providing a clear, data-driven path to their target roles. Problem & Stakeholders The application addresses the ambiguity and inefficiency job seekers face when navigating the modern job market. Primary stakeholders are career professionals and changers who gain clarity and confidence in their job search. Secondary stakeholders are hiring managers, who benefit from receiving applications from better-aligned, strategically prepared candidates. Technical Architecture & Tech Stack The platform is built on a modern, scalable tech stack engineered for performance and intelligence. Future Improvements Future enhancements are focused on enabling users to download or share their personalized roadmaps. The introduction of user accounts is also planned to allow individuals to save, manage, and track their progress across multiple roadmaps, turning the tool into a long-term career companion.

Case Study Summary Executive Summary I-Vana is a web application designed to help non-native speakers improve their language pronunciation, particularly for difficult words. It uses the Google Gemini API to generate tailored practice content and the browser's native speech synthesis to provide audible examples, helping users build conversational confidence. Problem & Stakeholders The application addresses the common challenge of mastering pronunciation for individuals who have relocated to a new country. These language learners are the primary stakeholders, seeking to improve spoken fluency for better social and professional integration. Technical Architecture & Tech Stack The application is a secure static web app built with a modular Atomic Design structure and deployed on Vercel. Future Improvements The roadmap includes a complete UI/UX redesign, adding user accounts for progress tracking and personalization, and integrating speech recognition technology for real-time pronunciation feedback. Plans also involve enabling offline access and expanding content to more languages.

Case Study Summary Executive Summary Trend Keyword Infuser is a strategic, AI-powered content intelligence platform designed for social media marketers and digital agencies. It provides a unified solution that integrates real-time trend discovery, keyword relevance analysis, and advanced script generation, empowering users to accelerate their content workflow and enhance SEO performance. Problem & Stakeholders The application solves the challenge of fragmented and inefficient content creation workflows. Its primary stakeholders are social media marketers and digital agencies who need to maintain content relevance and optimize for algorithmic discoverability. The platform provides them with the efficiency and data-driven insights required to gain a competitive edge. Technical Architecture & Tech Stack The platform is built on a modern, scalable stack designed for high performance and complex data processing. Future Improvements The future roadmap focuses on expanding the platform's strategic value. Plans include integrating data from other major platforms (LinkedIn, TikTok, Instagram), incorporating advanced analytics via the Google Ads API, and enhancing the AI to assist with generating video descriptions, hashtags, and thumbnail concepts.