ML Application · TypeScript

cacaoid

CacaoID Repository

Muhammad Iqbal Rahmatullah@iqbal-rahmatullah · Atlas 60.8 · #13= builder

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What it is

CacaoID is a full-stack web application that verifies cocoa seed genetics using SNP data and provides machine learning-based trait predictions for breeding decisions.

Scored from the code at its last scan, 27 Oct 2026. How merit is scored

Where it counts

Machine Learning70%
Data Science60%
MLOps40%

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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24, shared rankAurora-SDG-Publication-ClassifierML Application · PythonThe Aurora-SDG-Publication-Classifier is a Streamlit-based machine learning application that classifies academic publications according to the United Nations Sustainable Development Goals (SDGs). It integrates data from multiple sources (OpenAlex, DSpace, OAI-PMH), enriches…58.9/100AdvancedJens MittelbachMachine Learning
24, shared rankrag-pocEducational Implementation · TypeScriptThis repository is a client-side, zero-backend Retrieval-Augmented Generation (RAG) proof-of-concept that runs entirely in the browser, using PDF.js for text extraction, Transformers.js for embeddings, and web-llm for local LLM inference. It is designed as an educational tool…58.9/100AdvancedJarad PeckenpaughMachine Learning
24, shared rankcacaoidML Application · TypeScript58.9/100AdvancedMuhammad Iqbal RahmatullahMachine Learning
27, shared rankandrej-karpathy-full-courseEducational Implementation · Jupyter NotebookThe repository contains a series of Jupyter notebooks and Python scripts that walk through building neural networks from basic bigram models up to a GPT-2 replica, following Andrej Karpathy's Neural Networks: Zero to Hero course.58.6/100AdvancedPop AlexandruMachine Learning

What it is

Where it counts

Around it on the Machine Learning board

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