Newlogic G2P - Social Protection
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Updated
Jul 25, 2022 - Python
Newlogic G2P - Social Protection
The project focuses on leveraging technology to create new courses, personalize existing ones, and enhance the assessment process, ultimately contributing to the development of 21st-century skills in students.
A geographic issue tracker for humantiarian organisations. Work in progress.
AI-powered NGO platform for need prioritization, volunteer-task matching, and smart resource allocation.
Backend(Python FastAPI and GenAI) of Mock WaterAid Analytics Engine(OPENWSH-CONTROL). Not affiliated with WaterAid. This is for demonstration purposes only. Click the link below to see the frontend repo
Donation management is an Odoo module that handles the donation management between sponsors and beneficiaries for an ngo.
Automated grant call monitoring for NGOs — tracks open funding opportunities from institutional donors and delivers Telegram alerts via GitHub Actions
🤖 Open-source, self-hosted, Iron Man-style personal AI infrastructure — for individuals, families, schools, NGOs, healthcare, government, enterprise. AGPL-3.0, always free, always public.
Automated NGO and social sector job alert pipeline — monitors 6 platforms and delivers real-time Telegram notifications via GitHub Actions
Associação Formiga Verde, ONG Formiga Verde
Fisheries production dashboard
A library of open-source agent skills for nonprofits operating in the Gulf. Problem-first. Pro-bono. MIT-licensed.
API REST de Machine Learning para a ONG Turma do Bem — classifica solicitações de atendimento em prioridade ALTA/MÉDIA/BAIXA. Flask + scikit-learn, deployado no Render.
Turning disaster information into response insights with AI.
Public display copy of CareFlow, an AI workflow assistant for Hong Kong elder-care NGO administration.
Proposal Go / No-Go Tool: A web-based decision support tool that helps NGOs and non-profit organizations evaluate whether to pursue a funding proposal. Rather than relying on gut instinct, it provides a structured scoring framework that produces a clear, defensible recommendation: Go, Caution, or No-Go. Users are NGOs
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