ML Application · Python

PumpPerfect-PandasAI

Petr Sovadina@petrsovadina · Atlas 68.5 · #6 builder

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What it is

PumpPerfect-PandasAI is a Dockerized web application built with FastAPI and Next.js for analyzing insulin pump and CGM data, featuring pandasai-powered natural language queries and Prophet/RandomForest glucose prediction models.

Scored from the code at its last scan, 22 Oct 2026. How merit is scored

Where it counts

Machine Learning80%
Data Science70%
NLP & LLMs60%
MLOps30%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

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38AgroADASML Application · PythonThe AgroADAS repository provides an end-to-end system for agricultural machinery guidance, including data collection, training of a multi-task segmentation and waypoint prediction model, and C++ inference for real-time deployment.52.6/100ImplementationSuceveanu Mircea Dan SanduMachine Learning
39ml-from-scratchEducational Implementation · Jupyter NotebookThis repository contains from-scratch NumPy implementations of K-Nearest Neighbors, linear regression, and logistic regression, each with a README explaining the algorithm and usage, and a notebook demonstrating training and evaluation for linear regression.51.9/100ImplementationPop AlexandruMachine Learning
40PumpPerfect-PandasAIML Application · Python50.6/100ImplementationPetr SovadinaMachine Learning
41VISTAArchitecture Modification / Research · Jupyter NotebookVISTA is a video object detection framework that augments standard detection architectures (DETR, YOLO, SSD) with optical flow-based motion features and a staticness branch to improve detection of moving and static objects. It provides training scripts for three variants and…50.4/100ImplementationSuceveanu Mircea Dan SanduMachine Learning
42chatbot-pipelineML Application · PythonThis repository implements an end-to-end intent-based chatbot system using TensorFlow/Keras for model training and Flask for serving. It includes a standard NLP pipeline (tokenization, lemmatization, bag-of-words) and provides instructions for both training from scratch and…50.2/100ImplementationPop AlexandruMachine Learning

What it is

Where it counts

Around it on the Machine Learning board

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