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flask

“Schnittstelle zur Wahldatenbereitstellung”: An API and a UI to access data about elections concerning the Verfasste Studierendenschaft of the Universität Heidelberg. Contributions welcome!

Blur detection using OpenCV and Flask checks image sharpness using Laplacian variance. Users upload images via web app, and the system classifies them as blurry or clear instantly.

AI-powered face detection and recognition identifies faces in images or video using deep learning. It detects, extracts features, and matches them with stored data for secure and accurate identification.

A personal web interface to track and manage job applications — Flask, SQLite, vanilla CSS

API to lookup your Quellensteuer rate.

Built a production-ready Flask application with a full CI/CD pipeline using GitLab CI/CD and Docker. The pipeline includes automated testing (pytest), code style checks (flake8), security scanning (bandit), Docker image build, local deployment with health checks, and Telegram notifications on every push.

Multi-source RAG pipeline with hybrid vector + keyword retrieval, LLM-powered concept knowledge graph, adaptive search weighting, and evaluation framework.

Website and Telegram bot for the furries of southeastern Wisconsin. https://sewifurs.org/

The purpose of this system is to demonstrably comply with the applicable laws and regulations that apply to your business operations. We achieve this by linking these regulations to a standard control set that is most suitable. We then translate the relevant control set rules into scripts for the implementation tools that best suit your system environment and use these same tools to demonstrate that the required measures are in place and active, based on reports that either confirm this or contain recommendations for improvement.

Developed an automated NLP pipeline using Python to clean and standardize unstructured healthcare data through error detection, imputation, and terminology alignment. Improved data accuracy and reduced manual processing time, enhancing data readiness for AI-driven analysis and clinical decision-making.

A Cookiecutter template for Flask projects.

The obda.net website.

A computer vision solution implemented in Python that utilizes deep learning techniques to classify food imagery for dietary analysis and nutritional tracking.

A Flask URL shortener.

Minimal example Python Flask application

A full-stack web application designed to bridge the gap between complex mathematical expressions and clean, compilable LaTeX code. This project leverages Machine Learning (Hugging Face models) to take raw text or messy equations and transform them into optimized, industry-standard LaTeX.

The system features a ReactJS frontend for real-time editing and a Python/Flask backend. To keep the deployment lightweight and free-tier friendly (Render/Railway), the project utilizes an External API Proxy Pattern for PDF generation, eliminating the need for a 2GB+ local TeX distribution.

Add commonmark processing filter to your Flask app.

Commonmark is commonmark. It says so here: https://commonmark.org/

Push mirror of https://forgejo.parcifal.dev/parcifal/flask-security-txt