New Project — Goal: May 31, 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
Live RACHEL Impact Data from DataPost
Click to interact with map
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