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Akshar:面向尼泊尔学生的 Gemma 4 学习平台

sagarxettri000/Akshar

AI 导读

Team Nepluro 正在开发学习平台 Akshar,帮助尼泊尔学生备考 NEB Grade 11–12 与 CEE/IOE 入学考试,提供尼泊尔语/英语讲解、带来源引用的课程答案和练习反馈。平台以 Gemma 4 承担学习流程中的实际工作,并针对低带宽、小屏设备和有限算力设计。项目处于 hackathon 开发阶段,仓库目前仅含项目文档与 AI-agent 指南,应用代码正在逐步加入。

正文

A learning platform for Nepal — built by Team Nepluro.

Akshar helps Nepali students understand concepts, practise exam-style questions, and prepare with confidence for NEB Grade 11–12 and CEE/IOE entrance examinations. It pairs clear Nepali/English explanations with material students can inspect, and uses Gemma 4 as a genuine part of the learning experience.

Status: Active hackathon development. This repository currently holds the project documentation and AI-agent guidelines; application code is being added incrementally.

The problem

Nepali learners preparing for NEB Grade 11–12 and entrance exams (CEE/IOE) often have to rely on generic answers or English-only resources that do not match their curriculum or language. Access to trustworthy, level-appropriate support is uneven, especially on modest devices and connections.

Akshar is being built to close that gap.

What makes Akshar different

Akshar is built around one trustworthy loop: learn → understand → practise.

  1. Choose a track and topic — NEB Grade 11/12, CEE, or IOE.
  2. Ask a question or open a reviewed practice question.
  3. Get a clear, appropriately leveled explanation in Nepali or English, with source references when curriculum material is used.
  4. Try a related question or a short knowledge check.
  5. Receive encouraging, specific feedback and, where supported, track progress.

Design principles:

  • Grounded, honest answers. Curriculum answers cite the material actually shown, and clearly label AI-generated explanations and practice questions.
  • Nepali-first accessibility. Native Nepali/English support, correct Devanagari and mathematical notation, and readable text on small screens.
  • Low-bandwidth by design. Built for modest devices and connections.
  • A real AI path. Gemma 4 performs meaningful work in the learner flow — not a label attached to a canned answer.

Team — Nepluro

Member Focus
Sagar Katwal Learner experience / frontend
Dipson Basnet Gemma 4 / AI pipeline
Dhiraj Shrestha Learning content, practice & validation

Repository contents

File Purpose
AGENTS.md Canonical project instructions for AI coding agents
GEMINI.md Gemini CLI entry point that imports AGENTS.md
FIRST_PROMPT.md Read-only repository audit prompt
TEAM_PLAYBOOK.md Team work split, MVP scope, and demo plan
LICENSE MIT License

License

Released under the MIT License. See LICENSE for details.

来源:GitHub · github.com