Construct an AI Examine Assistant with Claude Code + Android Studio

Think about constructing a full Android app that generates AI questions, runs on an actual backend, and makes use of a database with out writing a single line of code. Claude Code, Anthropic’s terminal-based assistant, makes it attainable to ship a working product from one clear immediate.

This tutorial exhibits how one can create an AI Examine Assistant that ingests PDFs and produces exam-ready questions, MCQs, and summaries for JEE, NEET, GATE, and boards. On this article, you will note the complete workflow in motion.

What we’ll be constructing:

• Backend – Node.js + Typescript + Specific with RESTful API’s 
• Database – SQLite for doc/session administration 
• AI Engine – Claude’s API for clever content material creation 
• Cellular Software – Android & MVVM architected 
• Further Options – 12 examination ranges, classification/scores of query problem ranges, Versioned AI prompts 

Arms on

With out additional ado, let’s bounce into the method:

Step 1: Venture Setup

Open your terminal and initialize the undertaking: 

cd ~/Paperwork/Tasks 
mkdir StudyAssistant 
cd StudyAssistant 
claude 

Step 2: The Magic Immediate

Write an in depth single immediate to construct the AI Assistant within the command line interface of Claude code: 

AI Examine Assistant: Construct an AI agent that converts uploaded notes or PDFs into exam-specific questions, MCQs/MSQs, and revision summaries after the person selects an examination degree. 

Circulate: Add → choose examination → analyze notes → generate exam-aligned content material. 

Necessities: Questions, MCQs/MSQs (with appropriate solutions), and summaries should match examination problem and keep grounded within the notes solely. 

Purpose: Ship a clear, end-to-end, exam-focused examine assistant. 

Step 3: Auto-Generated Backend

Claude-Code begins working and generates this production-ready construction: 

The important thing options of this auto-generated backend are: 

• Examination Configurations: Configuration choices embrace 12 sorts of examinations, together with (JEE/NEET/GATE/UPSC/BOARD) with individually outlined problem ranges. 
• Versioned Prompts: Prompts are saved in JSON format; due to this fact, when altering the system, you possibly can replace your prompts with out compromising the performance of the present model of the appliance. 
• Clear Structure: All of our providers are designed to observe the one accountability precept and shall be simple to check and prolong. 

Step 4: RESTful API Endpoints

Claude code helped in creating the API endpoints as nicely in keeping with our necessities. These endpoints will assist in the sleek working of our app. 

The workflow of the app in keeping with the endpoints shall be as follows: 

1. Consumer uploads their doc may very well be PDF or in docx format. 
2. Then, accordingly they’ll choose the extent of the examination JEE, NEET or any degree of faculty semester. 
3. Click on ‘Generate Query’, the endpoint calls the claude API to generate questions and summarize the notes as nicely. 
4. Consumer can now view the generated query (MCQs, numericals, coding questions) with the totally different degree of problem (low, medium, excessive). 

Step 5: Organising the Android App (MVVM Structure)

Claude Code generated a separate Android folder, having all of the recordsdata required to setup the android app. Following is the construction it created for the Android App: 

Right here, the ApiClient.kt, is the primary file because it supplies the repository sample which is used as a single supply of fact for information.  

non-public const val BASE_URL = "http://10.0.2.2:3000/api/"  // Emulator localhost 

Step 6: Working the Software

Your entire codebase construction of backend, databased and android app has been created, now we’ll run the backend first. You need to use the next instructions to initialize the backend server: 

cd backend 
npm set up 
npm run dev 

Output:  

AI Examine Assistant API operating on port 3000
Setting: improvement
Database: ./database/study_assistant.db

As soon as the backend server has been setup, we’ll launch the android app now.  

1. Open Android Studio. Go to ‘file’ within the topbar, click on on open and choose your ‘Android’ folder created by Claude Code. 

2. Click on on Gradle sync as it’ll sync all of the code to run our app on an emulator (digital system). 
3. Go to the System supervisor in ‘Instruments’ and choose any digital system or if you wish to run the app by yourself system then both you possibly can join your system through wifi or utilizing a USB. 

4. As soon as the system has been related, click on on ‘Run’. 

Step 7: Run the appliance (Demo)

You’ll see a digital system operating on the proper sidebar, click on on that and choose your utility ‘AI Examine Assistant’. 

How are you going to Customise it Additional?

1. Add new examination ranges like CAT, SAT, JEE Superior and so forth by merely enhancing the backend file your self or asking Claude Code to do it for you. 

sat: { 
  id: 'sat', 
  identify: 'SAT', 
  questionTypes: ['mcq', 'numerical'], 
  difficultyDistribution: { simple: 30, medium: 50, exhausting: 20 }, 
  questionCount: { mcq: 30, numerical: 15 } 
}

2. Ask the agent to make extra inventive questions by experimenting with the immediate, temperature and totally different parameters. 

{
  "systemPrompt": "You're an skilled {{examLevel}} query setter...", 
  "temperature": 0.7, 
  "maxTokens": 2000 
}

3. You may change the UI theme, making it extra skilled and superior by enhancing android/app/src/predominant/res/values/colours.xml. 

#1976D2   

Key Takeaways: Mastering AI-Assisted Improvement

Listed here are the important thing features that we have to perceive after we now have constructed the undertaking or for our future initiatives: 

Conclusion

The event course of has grow to be extra environment friendly which leads to full system transformation. The barrier to entry for constructing refined apps has dropped as a result of current superior applied sciences allow customers to create complicated functions while not having programming expertise. College students and entrepreneurs now have the flexibility to create the instruments which they beforehand might solely think about. 

The no-code revolution is right here. After the AI Examine Assistant, what’s going to you construct subsequent?

Ceaselessly Requested Questions

Knowledge Science Trainee at Analytics Vidhya
I’m at the moment working as a Knowledge Science Trainee at Analytics Vidhya, the place I deal with constructing data-driven options and making use of AI/ML strategies to resolve real-world enterprise issues. My work permits me to discover superior analytics, machine studying, and AI functions that empower organizations to make smarter, evidence-based selections.
With a powerful basis in pc science, software program improvement, and information analytics, I’m obsessed with leveraging AI to create impactful, scalable options that bridge the hole between know-how and enterprise.
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