Open-Source Projects

Spectrum - AI News Summarizer

Jan 2026
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Automated AI news agent that monitors RSS feeds, summarizes insights using Perplexity Sonar, and delivers daily digests to Telegram with budget management and local storage.

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Key Features

  • Monitors multiple AI news RSS feeds (The Verge, TechCrunch, MIT, Ars Technica, Wired)
  • AI-powered summaries using Perplexity Sonar API
  • Automated Telegram delivery with formatted messages
  • Daily overview summary consolidating all news into bullet points
  • Budget management with configurable article limits (default: 5 articles per run)
  • Local storage of all fetched articles and summaries in JSON format
  • Time-based filtering (48-hour lookback window)

Problem Solved

Staying updated with AI news requires monitoring multiple sources and spending significant time reading articles. Spectrum automates this process by aggregating RSS feeds, generating concise AI summaries, and delivering them directly to Telegram, enabling users to stay informed with minimal effort while respecting API budget constraints.

Technologies

Python Perplexity API Telegram Bot API RSS Feed Processing AI Summarization

FactFlow: Financial Sentiment-Reality Check Agent

Nov 2025
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AI-powered multi-agent system for financial market analysis that compares news sentiment with real market data to help traders make data-driven decisions.

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Key Features

  • Detects bullish/bearish divergences between sentiment and price action
  • Real-time analysis via News Scout, Market Analyst, and Judge agents
  • Production-ready with Docker, logging, and evaluation tools
  • Powered by Google ADK and Gemini 2.5 Flash Lite

Problem Solved

Traders often react emotionally to market news, leading to losses from fear, FOMO, or misinformation. FactFlow eliminates emotional trading by providing transparent, data-driven insights that compare sentiment with actual market performance.

Technologies

Python Machine Learning API Development Google ADK Docker

Auto-DJ: AI-Powered Music Playlist Generator

Oct 2025
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Intelligent music playlist generator that analyzes personal music libraries and creates playlists based on acoustic similarity using advanced audio signal processing.

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Key Features

  • Multi-format audio support (MP3, WAV, FLAC, M4A)
  • Acoustic fingerprinting using 13 MFCC coefficients
  • Euclidean distance-based similarity analysis
  • M3U playlist generation compatible with all major players
  • Cross-platform compatibility and comprehensive testing

Problem Solved

Users struggle to discover and organize music collections effectively. Auto-DJ intelligently analyzes acoustic properties to generate playlists that maintain musical coherence and flow, providing a personalized music discovery experience.

Technologies

Python Audio Signal Processing Machine Learning librosa scikit-learn

CSV2Dashboard: Professional Data Visualization Tool

Aug 2025 - Sep 2025
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Powerful Python tool that instantly converts CSV and Excel files into interactive web dashboards with advanced filtering and automatic chart generation.

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Key Features

  • One-command setup for instant interactive dashboards
  • Smart auto-detection of column types with appropriate visualizations
  • Multi-dimensional filtering with text search, ranges, and categorical selections
  • Auto-generated histograms, bar charts, and time series plots
  • Standalone HTML export for offline use
  • Optimized for datasets up to 500K+ rows

Problem Solved

Eliminates the need for complex data visualization setup by providing a one-command solution to convert raw data files into professional, interactive dashboards. Addresses the pain point of data analysts who need to quickly explore and share insights without custom dashboard development.

Technologies

Python Data Visualization Plotly Gradio Pandas

FormatFusion - Universal File Converter

Jan 2025 - Jul 2025
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High-performance desktop file converter for Windows with hardware acceleration, supporting images, audio, and video files with intelligent compression and quality optimization.

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Key Features

  • 3-5x faster video conversion with hardware acceleration (NVIDIA, Intel, AMD)
  • Intelligent image compression with up to 90% file size reduction
  • Professional audio conversion with multiple quality presets
  • Modern MVVM architecture with clean separation of concerns
  • Real-time progress tracking and error recovery
  • 50% reduction in memory consumption

Problem Solved

Users need a fast, efficient way to convert multimedia files without sacrificing quality. FormatFusion provides hardware-accelerated conversion with intelligent optimization, dramatically reducing conversion time and file sizes while maintaining quality.

Technologies

Python PyQt6 FFmpeg MVVM Architecture Hardware Acceleration

Bitcoin Market Risk Analysis: Advanced Metrics and Quantitative Modeling

Mar 2024 - May 2024
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Comprehensive quantitative risk analysis of the Bitcoin market using advanced metrics, multiple risk assessment models, and sophisticated data analysis techniques.

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Key Features

  • Multiple risk assessment models (MVRV, Mayer Multiple, Supply Profitability, NUPL)
  • Risk categorization system (Very High, High, Low, Very Low)
  • Multi-factor risk assessment framework
  • Sophisticated visualizations of risk metrics and price correlations
  • Enhanced risk classification accuracy through historical backtesting

Problem Solved

Cryptocurrency markets lack comprehensive risk assessment tools. This project provides institutional investors, algorithmic traders, and researchers with a quantitative framework for understanding Bitcoin market dynamics, reducing lag in identifying trend reversals compared to traditional methods.

Technologies

Python Data Science Statistical Modeling Data Visualization Financial Forecasting

Bitcoin Forecast - Predictive Modeling for Return and Price Forecasting

Sep 2023 - Feb 2024
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Machine learning project for forecasting Bitcoin prices and returns using advanced feature engineering, automated data extraction, and optimized predictive models.

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Key Features

  • Automated data extraction and cleaning using Selenium
  • Advanced feature engineering with lagged features and random forest importance
  • Multiple ML models optimized for monthly return prediction
  • Detailed visualizations of actual vs predicted returns and prices
  • 12% improvement in forecast accuracy
  • 80% reduction in data preparation time

Problem Solved

Investors need accurate Bitcoin price predictions to manage portfolios effectively. This project provides a robust framework for forecasting that enables investors to predict market trends more accurately and make well-informed decisions regarding crypto assets.

Technologies

Python Machine Learning Data Science Scikit-learn Selenium Financial Forecasting

PastePal - Advanced Clipboard Manager

Nov 2023 - Feb 2024
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High-performance clipboard management application for Windows with real-time persistence, multi-threaded monitoring, and intelligent content history management.

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Key Features

  • Real-time clipboard monitoring with SQLite persistence
  • Support for text, images, and files
  • Debounced search, content pinning, and customizable themes
  • Global hotkeys for instant content retrieval
  • Image processing and text transformations
  • Modular, extensible architecture

Problem Solved

Native Windows clipboard only stores the last copied item, causing workflow friction. PastePal transforms the clipboard into an intelligent, persistent content history tool that eliminates productivity losses from lost clipboard data.

Technologies

Python PyQt6 SQLite System Integration Multi-threading

Custom Dataset Market Analysis with ChatGPT and OpenAI API

Nov 2023 - Jan 2024
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Dynamic chat-based interface for conducting tailored market analysis using custom datasets, leveraging ChatGPT and OpenAI API for insightful analysis and actionable insights.

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Key Features

  • Custom dataset upload for industry-specific or proprietary data
  • Interactive chat interface with conversational prompts
  • Context-aware analysis generating market insights, trends, and predictions
  • Chat history management with privacy controls
  • Transparent cost monitoring for OpenAI GPT-4 usage

Problem Solved

Businesses need to analyze their proprietary datasets but lack the tools for intuitive, conversational analysis. This project enables users to upload custom datasets and engage in natural language conversations to extract valuable market insights without technical expertise.

Technologies

Python AI OpenAI API NLP Data Analysis