Open Source | Rabimba Karanjai

Bay Area Pujo Parikrama

Tue, 01 Sep 2026 00:00:00 +0000

is a comprehensive community guide and route planner for Durga Puja celebrations across the San Francisco Bay Area.

Key Features:

31 Pujas Across 6 Regions — complete listings covering South Bay, East Bay, Tri-Valley, Central Valley, Peninsula, and Sacramento
Parikrama Route Planner — interactive routing tool to plan pandal-hopping itineraries across multiple celebrations in a single day
Real-Time Ritual Tracking — schedules, bhog availability, ticketing info, and next-ritual countdowns aligned with the panjika calendar
Bilingual Experience — Bengali and English cultural context, including Mahalaya traditions and historical background

Houston Pujo Parikrama

Tue, 01 Sep 2026 00:00:00 +0000

is a community-driven portal and route planner mapping Durga Puja celebrations across Greater Houston, Texas.

Key Features:

Regional Coverage — includes major Houston institutions including Houston Durga Bari Society (Biswa Bangla Sarad Samman winner), SDKKM Temple, Mantra Pearland, and Maitri in Houston
Parikroma Route Planner — route planning across Energy Corridor, West Houston, Southwest Houston / Pearland, and surrounding areas
Full Festival Calendars — schedules spanning Mahalaya, Bodhan, Shashthi–Dashami, and Bijoya Sammilani
Community-First Details — free entry tags, bhog timings, cultural program headliners, and direct navigation links

Dr.MRI.AI

Mon, 18 May 2026 00:00:00 +0000

Dr.MRI.AI is a web-based DICOM viewer built on a simple observation: the hard part of medical AI isn’t the model, it’s knowing what to send it. A typical MRI study contains 200+ slices, but only a handful carry the signal. Dr.MRI.AI plans the slice selection before any multimodal analysis runs.

How it works — Plan → Review → Synthesize:

Plan: Gemma 4 produces a structured plan (which series, slice range, window/level) from your clinical question in plain English. You can accept, edit, or reject it.
Review: The multimodal model analyzes only the focused subset — 200+ slices reduced to ~16 frames, ~99% fewer image tokens.
Synthesize: A final text-only pass produces a structured report with clickable slice references; export findings plus reviewed evidence as one bundle.

Privacy-first architecture:

DICOM files are processed entirely in the browser — no data is uploaded to any server
Fully browser-local inference via onnx-community/gemma-4-E2B-it-ONNX through Transformers.js + WebGPU
Provider-agnostic: Gemini API, OpenAI-compatible endpoints, Ollama (MedGemma planning + Gemma 4 review), or fully on-device Gemma 4 Browser

Built with React 19 + TypeScript + Vite and Cornerstone3D for medical image rendering. Featured in the Google Developer Experts May–Jun 2026 AI community roundup. Educational/research tool — not certified as a medical device.

ConferenceRank

Thu, 01 Jan 2026 00:00:00 +0000

is a unified platform for discovering, evaluating, and tracking computer science conference and journal venues. It aggregates public ranking and bibliometric data into an accessible, interactive interface backed by programmatic APIs.

Key Features

Conference & Journal Rankings — Complete CORE / ICORE rankings (A*, A, B, C) with historical tier tracking, side-by-side with SCImago Journal Rank (SJR) quartiles (Q1–Q4), H-index, and FoR discipline categories.
Venue & Journal Suggester — Abstract-matching engine using TF-IDF and discipline lexicons to recommend stretch, target, and safe venues for an upcoming paper.
Deadlines & Watchlist — Submission countdowns normalized to Anywhere on Earth (AoE), with 1-click Google Calendar sync, .ics export, and zero-login local browser watchlists.
Acceptance Rate Trends — Decades of acceptance statistics (submitted, accepted, rates) for leading venues across systems, AI/ML, security, databases, theory, and graphics.

Built for AI Agents

ConferenceRank is machine-consumable out of the box:

MCP Server (npx conferencerank-mcp) — Exposes six typed tools for MCP-compatible agents: search_venues, get_venue, compare_venues, suggest_venues, upcoming_deadlines, and acceptance_stats.
Static JSON API — CDN-cached endpoints for conferences, journals, and upcoming deadlines, regenerated on weekly automated GitHub Actions runs.
Agent Skill & llms.txt — Ships full instructions and machine-readable context for agentic workflows.