Projects with this topic
-
-
Sangfroid is a Python library to handle Synfig documents, in the .sif, .sifz, and .sfg formats.
Updated -
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 -
Low-code open source framework powering the Dokos business platform. https://doc.dokos.io
Updated -
-
-
-
Updated
-
-
-
-
CryptoLyzer is a fast, flexible, and comprehensive server cryptographic protocol (TLS, SSL, SSH, DNSSEC) and related setting (HTTP headers, DNS records) analyzer and fingerprint (JA3, HASSH tag) generator with Python API and CLI.
tls ssh JA3 ssl ftp jabber imap ldap LMTP nntp POP3 PostgreSQL RDP smtp xmpp pentest Python cryptography audit library auditing tls13 TLSv1.3 sshkeys ssh keys DNSSEC MySQL/MariaDB HASSH openvpn mailsieve sieve xmpp-transport root certifi... certificate-... HTTP headers security scanner-cli vulnerabilit... security-tools security tools cybersecurit... security scan security-sca... forward secu...Updated -
Configuration and data workflows for an instance of Apache Airflow for the DDRplatform
Updated -
GitLab AI Gateway is a standalone-service that will give access to AI features to all users of GitLab, no matter which instance they are using: self-managed, dedicated or GitLab.com.
Updated -
AI Radiology Copilot (ARC) is a CNN model app to recognize and label brain tumors in MRI scans.
Updated -
Open-source business management software based on ERPNext, and powered by the highly customizable low-code framework Dodock/Frappe.
Many features are available, such as accounting, billing, CRM, e-commerce, manufacturing, project management, Third-Places management, and so much more.
Installation guide: https://doc.dokos.io/dodock/installation
Updated -
simple open-source backtesting engine using pandas
Updated -
an interoperable orchestrator for Self-Driving Labs (SDLs)
Updated -
Библиотека полезных скриптов.
Updated -
🚀 Project DescriptionThis project aims to empower farmers through AI, IoT, and data-driven automation, transforming traditional farming into a smart, sustainable process. It provides end-to-end guidance — from crop selection to profit generation — using intelligent technologies.
Our system integrates AI-based crop recommendation models that analyze soil, weather, and market trends to suggest the most profitable crops. IoT sensors monitor soil moisture, humidity, and temperature in real time, while CNN-based image processing detects plant diseases and tracks growth stages.
An intelligent Gemini AI assistant generates automated farming schedules for irrigation, fertilization, and maintenance, ensuring optimal yield with minimal manual intervention. The backend, built with Node.js and Express, manages sensor data and communicates with a cloud server for advanced analytics.
The system also includes AI-based hardware sensors that perform on-field edge analysis and sync with the central server for instant decision-making. The React + Vite frontend offers an intuitive dashboard for real-time visualization, alerts, and AI insights.
With features like predictive yield analytics, pest control recommendations, and market trend forecasting, this platform provides farmers a complete technological ecosystem for smart, profitable, and data-driven agriculture.
🌾 Updated