LostMind AI

Vision & Endeavors

A curated collection of my technical explorations, completed works, and ongoing developments, reflecting my journey and capabilities.

Bridging Worlds Through Technology

Throughout my life, communicating what's truly in my mind has sometimes been a challenge. That's why I created LostMindAI—a space where I can showcase how we can connect everyday tasks with technology to automate the repetitive, and leave more room for creativity and innovation.

Each project here represents a genuine attempt to improve someone's life or work through thoughtful application of technology, bridging the gap between imagination and implementation.

Beyond Technical Showcase

This site emphasizes the journey of learning and applying technology to real problems. It's about authentic problem-solving approaches rather than technical complexity for its own sake.

My transition from finance to AI and technology represents not just a career change, but a search for meaningful connection through problem-solving and creating practical value through thoughtful application of emerging technologies.

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Completed Works

Completed
5

Enhanced Web Scraper

Problem: Web content extraction requires handling diverse data types, managing rate limits, addressing CAPTCHA challenges, and processing lazy-loaded content with specialized techniques for different resource types.
Solution: An asyncio-powered web scraper with a modular architecture that implements proper rate limiting, comprehensive resource extraction, multi-modal content processing, and robust error recovery capabilities.
PythonAsyncioPlaywrightBeautifulSoupAsynchronous ProgrammingError Handling
Completed
14

LostMind AI - Gemini Chat Assistant

Problem: Users need to access and leverage the capabilities of state-of-the-art AI models across multiple data types (text, images, PDFs) without complex setup or technical expertise.
Solution: A comprehensive Python application providing direct integration with Google's Vertex AI platform, allowing multi-modal interactions with Gemini models through both GUI and CLI interfaces with robust error handling.
PythonGoogle Vertex AIGemini APITkinterAPI IntegrationAsynchronous Programming
Completed
3

Advanced Media Converter

Problem: Audio processing tasks like format conversion, detailed analysis, and batch operations often require multiple specialized tools and complex command-line operations, creating workflow friction.
Solution: A modular Python desktop application with an intuitive GUI that provides audio analysis, visualization, format conversion, and batch processing capabilities through a unified interface.
PythonTkinterFFmpeglibrosanumpyAudio ProcessingGUI Development

Work in Progress

In Progress
15

Financial Data Automation MVP

Problem: Manual variance commentary reporting in property management consumes substantial analyst time, is prone to errors, and creates bottlenecks in the monthly financial reporting process.
Solution: Exploring the development of a Python-based system to intelligently process financial data, detect significant variances based on customizable rules, and assist with generating narrative commentary.
PythonPandasAI IntegrationFinancial AnalysisProblem Solving
active-development
7

LostMind AI Solutions (PyQt6 Suite)

Problem: Many powerful AI capabilities remain inaccessible to users without coding skills, or require juggling multiple web interfaces for different tasks and models.
Solution: A unified desktop application suite providing a user-friendly GUI (built with PyQt6) to access advanced AI functionalities like multimodal chat, analysis, and automation, powered by leading models.
PythonPyQt6Google Vertex AIOpenAI APIAnthropic APIGUI Development
active-development
6

LostMind Analyzer Pro (LAP)

Problem: Understanding unfamiliar code repositories is time-consuming and difficult. Developers need systematic ways to analyze project structure, detect dependencies, and generate documentation.
Solution: A Python application that analyzes project directories, identifies file structures and dependencies, and generates documentation in multiple formats including JSON and Markdown with AI-friendly output options.
PythonStatic AnalysisAST ParsingtkinterGUI DevelopmentJSON ExportMarkdown Generation
In Progress
26

Quran Mobile Application (Project Management)

Problem: Existing Quran apps often lack consistent cross-platform UX, offline capability, and intuitive design, hindering accessibility and user engagement.
Solution: A Flutter-based application ensuring identical iOS/Android experiences, full offline functionality via SQLite, optimized performance, and an intuitive UI. Managed via a structured Agile process with a distributed team.
Project ManagementAgile MethodologiesFlutterDartFirebaseAzure DevOpsCross-functional Teams