Projects with this topic
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Qt Application Tester, a testing framework for Qt-based applications
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SETIER² (Capteurs et centrales d'acquisition low-tech pour les eaux résiduaires) est un projet de recherche open hardware Le projet SETIER² vise à démocratiser la surveillance de la quantité et qualité des eaux usées en développant des solutions de mesure accessibles, fiables et open source. SETIER² propose des alternatives DIY
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Source code for shyft.
Time-series for python and c++, including distributed storage and calculations Hydrologic Forecasting Toolbox, high-performance flexible stacks, including calibration Energy-market models and micro servicesUpdated -
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This library provides a set of high precision date and time classes covering a large time span. The library is implemented in C++, Python and Java
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Portable Engine for the Production of Parton-level Event Records
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Polyglot benchmark suite & interactive performance dashboard comparing 15 programming languages in Alpine Linux
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John Snow's QEMU mirror for Python and IDE topics.
Please see http://wiki.qemu.org/Contribute/SubmitAPatch for how to submit changes to QEMU, merge requests are not accepted. See http://www.qemu.org for official release tarballs.
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Automatic Python interface generation for Fortran libraries
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Python module to interface VASSAL, CyberBoard, and LaTeX generated wargames.
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aGrUM is a C++ library designed for easily building applications using graphical models such as Bayesian networks, influence diagrams, decision trees, GAI networks or Markov decision processes.
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Web pages in french https://stm32python.gitlab.io/fr/
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Utopia is a comprehensive modelling framework for complex adaptive systems.
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A containerised C/C++ build system
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fastCrypter is a powerful Python library that combines advanced compression and encryption techniques with native C/C++ acceleration for maximum performance. It provides a comprehensive suite of tools for secure data handling, from simple file encryption to complex custom encoding schemes.
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Poetra AI – AI-Powered WhatsApp Online Store
Developed an AI-powered WhatsApp chatbot that enables customers to interact with an online store through natural language. The system helps customers discover products, manage their shopping cart, and proceed through the checkout process directly within WhatsApp.
Key contributions and features:
Developed an LLM-powered conversational interface for product discovery and customer assistance. Implemented product search, category browsing, cart management, and checkout workflows. Integrated GLM-4.5-Air through OpenRouter for natural-language interactions. Implemented Retrieval-Augmented Generation (RAG) to provide the AI with relevant product information. Integrated Midtrans for payment and checkout processing. Connected the system with WhatsApp for real-time customer interactions. Built an administrative dashboard using Vue.js and MySQL for managing products, customers, orders, users, and conversation logs. Implemented API integrations between the AI layer, database, WhatsApp service, and payment system. Conducted Black Box and White Box testing to validate system functionality and reliability. Designed the system to support real-world e-commerce workflows from product discovery through payment.Updated