New Project — Goal: June 30, 2026
Help Fund RACHEL AI
RACHEL AI: Offline Semantic Search
Students type a natural question and get relevant results from across all their content — ZIMs, HTML modules, Kolibri channels, user-uploaded materials — grouped by source, ranked by relevance. It understands meaning, not just keywords. Runs entirely on the device, no internet needed.
▶ Watch the prototype demo
Funding Progress
raised of goal
RACHEL Deployments (Checking In) From Around the World
Real schools, real impact — featuring community-uploaded photos from active RACHEL devices
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● RACHEL Live Updates
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Global RACHEL Impact Data
Cash Value Saved
GB Transferred
User Sessions
Per-RACHEL Impact Data over Time
at 10 cents per MB, calculated using … years of usage data
Year 1
Year 2
Year 3
RACHEL Intro Video
Chapters
- 0:00 Introduction to RACHEL Plus
- 1:03 How the Device Works (Offline Content)
- 2:13 Battery and Hardware Basics
- 2:44 Connecting Devices to the Signal
- 3:44 Navigating the RACHEL Homepage
- 4:46 Uploading Your Own Content
- 6:02 Educational Modules: KA Lite & Khan Academy
- 8:15 Moodle, Wikipedia, and wikiHow
- 9:59 GCF LearnFree (Computer & Life Skills)
- 10:36 Interactive World Maps & Wikivoyage
- 11:43 TED Talks & RadioLab
- 12:26 Digital Textbooks (CK-12, OpenStax)
- 14:21 College Credit & Advanced Courses
- 15:21 Literacy & Phonics Programs
- 16:13 Reading Resources (African Storybook, Classics)
- 18:41 Healthcare & Agricultural Guides
- 20:47 Music, Typing, and Coding Skills
- 21:34 Toys from Trash (Science & Engineering)
- 22:27 Creating Custom Modules
- 23:19 Admin Panel & Sorting Content
- 24:26 Hardware Settings & Wi-Fi Management
- 25:34 How to Update RACHEL Content
- 29:01 Installing New Language Modules
- 31:21 Usage Statistics & Bandwidth Savings
- 34:10 Hardware Costs & Warranty Information
- 35:35 Support, Forums, and Global Chapters