automated-reporting

Automated oncology treatment trend reporter for breast cancer and hematologic malignancies — scrapes clinical trials, medical trials, medical conferences, and AI-powered evidence via OpenEvidence, ESMO, OncDaily, OncLive. Generates weekly markdown reports in Traditional Chinese.

The Facial Recognition Based Attendance System is an automated solution designed to streamline attendance management in educational institutions. By utilizing advanced facial recognition technology, the system eliminates manual attendance processes, reduces proxy attendance, and provides real-time attendance tracking with comprehensive reporting .

Automated validation toolkit for tabular ML models in finance and regulated domains.

About Automated Data Analysis and Visualization is a Streamlit web application designed for quick and insightful data analysis. Users can easily upload CSV files, perform automated preprocessing, and generate interactive visualizations such as histograms, scatter plots, and heatmaps.

A Hybrid Test Automation Framework for UI, API & DB testing, built with Java, Selenium, Rest Assured, TestNG, JDBC, Maven & Log4j2. It supports POM, data-driven testing, parallel execution, logging, reporting, and CI/CD integration for scalable and reliable automation.

Multi-agent AI ecosystem for automated financial auditing and fraud detection using CrewAI. Features DuckDB-powered ETL pipelines and orchestrated LLM agents for risk-based reporting. Converts raw financial data into verified, human-level audit reports with compliance validation.

Z-Shark is a high-performance, CLI-first network forensics platform designed for advanced anomaly detection. Leveraging mathematical models such as Fast Fourier Transform (FFT), Shannon Entropy, and Z-Score statistical profiling, it uncovers hidden threats like C2 beaconing, DGA, and low-and-slow DDoS attacks in PCAP traffic.

TestRail Listener specifically designed to work with TestRail, and a test automation framework using Java, TestNG and maven.

Primary Health Centers (PHCs) are the backbone of rural healthcare—but data on their performance is often scattered, out-of-date, or hard to interpret. I created this end-to-end analytics solution to bridge that gap, empowering health teams to make real-time decisions with confidence.

Automated management reporting solution that streamlines sales reporting, inventory monitoring and operational KPI tracking using Excel.

An automated reporting pipeline that converts raw ad campaign logs into executive-ready PDF briefings with AI-generated narratives in under 30 seconds.

Similar to https://github.com/kylebinder-public/daily_market_update: here are scripts (.py, .bat) for automated sending of daily emails of the US treasury yield curve, spliced in ways that interest me. ETL from https://m.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield (and similar URLs).

Open-source AI Enterprise Analytics system that turns business questions into automated analysis, charts, executive PDF reports, and WhatsApp/email insights using n8n + Gemini.

A new package that takes a news headline or short text snippet as input and returns a structured summary of the key details, such as the person involved, the event, and the financial or business impac

An end-to-end predictive intelligence platform for SaaS. PredictR integrates automated data pipelines, Tidymodels-based churn & upsell modeling, and interactive Shiny analytics into a fully containerized application.

Scripts (.py, .bat) for automated sending of daily email (as .html attachment) of securities' performance (returns) that interest me. ETL from Yahoo Finance.

Claude Skill for rigorous biomedical research analysis & PPT generation. 用于严谨、可溯源生物医学研究分析与学术幻灯片生成的 Claude 规范。

AI-powered infrastructure monitoring system that automatically detects and analyzes urban maintenance issues from street-view imagery. Uses computer vision (Facebook DETR) and LLM analysis (Groq) to identify potholes, damaged signage, drainage problems, and safety hazards.

DuckyScript Auto-Documenter is a high-fidelity, professional web application designed to bridge the gap between technical script execution and corporate compliance reporting.this tool allows a security professional to instantly transform raw code into an "audit-ready" document that non-technical stakeholders can understand.

AI-powered compliance validation system for financial documents. Analyzes PPTX/PDF/DOCX files for ESG/SFDR compliance, data consistency, chart accuracy, and disclaimer verification. Features automated corrections, comprehensive reporting, and REST API. Built with Python and Next.js dashboard.