Categories:
Product
Automation
Webapp
Branding
Logo Design
API
A Newsletter as a Service solution for all kinds of investors to keep in touch with their investments. Users can choose when, and about what they are notified about. They will then receive automatic performance updates for all selected stocks within the chosen time period. Microsoft is currently blocking SMTP access, which is preventing emails from being sent.
Categories:
LLM Integration
Proof of Concept
Knowledge Management
Automation
What you are seeing is a conceptual graph generated from GPTVault. GPTVault is a proof-of-concept tool that uses generative models to accumulate knowledge in a way that makes it usable. It works by querying a large language model (LLM) about a starting topic. The LLM will respond with a brief description of the concept, a list of related concepts, and a list of subconcepts. This information is then saved in a knowledge base, which can be explored and visualized in a variety of ways. GPTVault can be used for a variety of purposes, including concept exploration, personal knowledge management, and content creation. It is a tool that can help you to learn more about or organize a concept.
Categories:
Machine Learning
ML-Model Validation
Data Science
Data Extraction & Processing
Data Visualization
Time Series Forecast
Used a series of mutlivariate time series models from the package Darts to forecast the energy production from PV-systems in Germany using 8 historic and 1 predicted metrics. Optimizing mode architecture (N-Beats), evaluating and using the forecast in a research-paper about the consequences of the national growth in pv-systems.
Categories:
Data Extraction & Processing
API
Scraping
Automation
A large instagram scraper built with Django that uses an API to communicate between user and program. The Scraper can be scaled seaminglessly and uses proxies. I built it to gather data for further Data-Science projects, so I used the Nominatim Geolocator and Regex to extract and order as much data as possible.
Categories:
Machine Learning
Monte Carlo Simulation
ML-Model Validation
Data Science
Data Visualization
Data Extraction & Processing
This project explored predicting football match goals using machine learning. The goal was to test a goal-count-based regression model against the default choice of a win/loss/draw classification model. Despite achieving some success in predicting match outcomes, limitations in goal margin prediction prevented real-world profitability. The model was tested by simulating betting as monte-carlo-simulations and visualizing it's accuracy compared to simpler betting paradigms.
Categories:
Product
Frontend
Backend
Branding
Online Shop
Real time Calculation
Logo Design
[Practice project] DecaDruck aims to open 3d printing to people without technical knowledge and industry expertise by combining consultation, design and realization into one service. If vistors already have a 3D-file, they can calculate the printing cost, with volume discount included.