{"slug": "8-open-source-ai-projects-for-social-good-live-demos-github", "title": "8 Open-Source AI Projects for Social Good (Live Demos + GitHub)", "summary": "A developer in Bangladesh has published eight open-source, live AI projects targeting social-good use cases in low-resource, Bangla-first contexts, each with public GitHub repositories and working demos. The projects include JolSetu, a computer-vision tool that reads arsenic test kits via CIELAB colorimetry and speaks results in Bangla, and AdalatAI, a court-document assistant pairing a deterministic Bangla/Banglish/English legal rule base with a classifier fallback for auditability. Others span browser-based 3D science labs, EU Digital Product Passport generation, a non-clinical mental-health resource companion, and a cross-platform social-media scheduler.", "body_md": "Most \"AI for social good\" demos stop at the demo. This post is the opposite: eight open-source AI projects I built from Bangladesh that are live, usable today, and have public GitHub repositories you can fork right now. They cover water-quality testing, court automation, education, mental health, and developer tooling — all engineered for low-resource, Bangla-first contexts.\n\nEvery link below goes to a live demo or the source code. Nothing is a mockup.\n\n**Problem:** millions of rural households in Bangladesh rely on hand-pumped wells, and arsenic testing is slow, paper-based, and easy to misread.\n\n**Approach:** JolSetu turns a 20-BDT chemical test kit into a digital instrument. Take a photo of the kit next to a white reference card; computer vision using CIELAB colorimetry reads the color change, classifies the arsenic level, and speaks the result and next steps in Bangla. No lab, no internet dependency for the core read.\n\n**Links:** Live demo at [https://rudra496.github.io/jolsetu](https://rudra496.github.io/jolsetu) — source at [https://github.com/rudra496/jolsetu](https://github.com/rudra496/jolsetu)\n\nThe project was completed and published in the Xylem Global Student Innovation Challenge and entered into the IEEE OneAquaHealth challenge, where it evolved into a team build with a full evidence pack.\n\n**Problem:** court staff in Bangladesh draft and check documents by hand against dense legal rules; competent tooling is mostly English-only.\n\n**Approach:** AdalatAI pairs a hand-crafted knowledge base of Bangla / Banglish / English crime-rule patterns (32+ rule types) with a trained classifier fallback covering 30 case types. The rule layer is primary because in legal work, a wrong but confident answer is worse than no answer — the deterministic layer keeps the system auditable.\n\n**Links:** Live at [https://rudra496.github.io/adalatai](https://rudra496.github.io/adalatai) — source at [https://github.com/rudra496/adalatai](https://github.com/rudra496/adalatai)\n\n**Problem:** thousands of schools have no working physics, chemistry, or biology lab.\n\n**Approach:** interactive 3D experiments that run in a browser tab. Students manipulate apparatus, see realistic cause-and-effect, and repeat experiments without consumable costs. Shipped as version 1.0.0 and listed on the Extella app store.\n\n**Links:** Live at [https://sciencelab-two.vercel.app](https://sciencelab-two.vercel.app) — source at [https://github.com/rudra496/sciencelab3d](https://github.com/rudra496/sciencelab3d)\n\n**Problem:** export factories drown in messy Excel, ERP, and paper records while EU buyers increasingly demand Digital Product Passports (DPP).\n\n**Approach:** Porichoy turns that scattered records chaos into buyer-ready EU Digital Product Passports, with women data stewards operating the pipeline. It shipped through the NIC 3.0 Needle Challenge with 19/19 automated tests passing.\n\n**Links:** Live at [https://rudra496.github.io/porichoy](https://rudra496.github.io/porichoy) — source at [https://github.com/rudra496/porichoy](https://github.com/rudra496/porichoy)\n\n**Problem:** developers burn out; generic chatbots either play therapist unsafely or are useless.\n\n**Approach:** MindWell is deliberately non-clinical: a retrieval-based companion that returns evidence-based self-help resources and escalation paths instead of free-generating therapy. Risk-minimized architecture first, conversational polish second.\n\n**Links:** Live at [https://mindwell-navy.vercel.app](https://mindwell-navy.vercel.app) — source at [https://github.com/rudra496/mindwell](https://github.com/rudra496/mindwell)\n\n**Problem:** social-media managers on small teams need scheduling that works offline-first on cheap Android phones and desktops alike.\n\n**Approach:** RippleUp is a shipping product, not a portfolio piece: v5.3.3 in production, built with Kotlin, Jetpack Compose, and Compose Multiplatform 1.6.11, distributed as an Android APK and a Windows desktop build from one codebase.\n\n**Links:** source at [https://github.com/rudra496/RippleUpApp](https://github.com/rudra496/RippleUpApp)\n\n**Problem:** LLM-assisted writing has created an epidemic of plausible-but-fake references.\n\n**Approach:** CiteWarden checks manuscripts for citation integrity — verifying that references exist and actually support the claims they're attached to. Built for LexHack 2026 with a full automated test suite (22/22 passing).\n\n**Links:** source at [https://github.com/rudra496/citewarden](https://github.com/rudra496/citewarden)\n\n**Problem:** AI-drafted text gets flagged; crude \"humanizers\" just mangle prose.\n\n**Approach:** StealthHumanizer is an open-source, multi-provider rewriting service with an optional self-hosted LLM backend, deployed on a VPS with Docker. It's transparent about what it does — the point is control over your own text pipeline, not deception.\n\n**Links:** Live at [https://stealthhumanizer.vercel.app](https://stealthhumanizer.vercel.app) — source at [https://github.com/rudra496/StealthHumanizer](https://github.com/rudra496/StealthHumanizer)\n\nThe eight above are the flagships; the full public catalog runs deeper:\n\n**AI & simulation**\n\n**Developer & research tools**\n\n**Community & curated lists**\n\n**Social impact & web**\n\nThree engineering rules recur across all eight projects:\n\nIf you work on water safety, legal tech, or education tooling for South Asia, I'd love to compare notes — find me on GitHub at [https://github.com/rudra496](https://github.com/rudra496) or LinkedIn at [https://www.linkedin.com/in/rudrasarker](https://www.linkedin.com/in/rudrasarker).", "url": "https://wpnews.pro/news/8-open-source-ai-projects-for-social-good-live-demos-github", "canonical_source": "https://dev.to/rudra_sarker/8-open-source-ai-projects-for-social-good-live-demos-github-5f8", "published_at": "2026-10-21 06:06:20+00:00", "updated_at": "2026-10-21 06:17:44.402773+00:00", "lang": "en", "topics": ["artificial-intelligence", "computer-vision", "ai-tools", "ai-products", "developer-tools"], "entities": ["JolSetu", "AdalatAI", "ScienceLab3D", "Porichoy", "MindWell", "RippleUp", "Xylem Global Student Innovation Challenge", "IEEE OneAquaHealth"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/8-open-source-ai-projects-for-social-good-live-demos-github", "markdown": "https://wpnews.pro/news/8-open-source-ai-projects-for-social-good-live-demos-github.md", "text": "https://wpnews.pro/news/8-open-source-ai-projects-for-social-good-live-demos-github.txt", "jsonld": "https://wpnews.pro/news/8-open-source-ai-projects-for-social-good-live-demos-github.jsonld"}}