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📱 Edvora Mobile App Integration Hub
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⚡ 15-Minute Setup iOS • Android • Flutter • React Native

Mobile App Integration Guide

Easily bring the Edvora AI Admissions Assistant into your institution's official student, alumni, and prospective applicant mobile applications in under 15 minutes.

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Active Chatbot Token All code examples below are dynamically rendered with your institution's token.
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Architecture Rationale: Why No Heavy Native SDK?

Building and maintaining full-native SDKs (Objective-C/Swift/Java/Kotlin packages) is heavy, brittle, and introduces significant maintenance friction. Native chat libraries frequently break with every new iOS/Android OS release, conflict with existing dependencies, add 15MB+ of binary bloat, and require full app store re-compilation and review whenever your bot’s prompt, greeting, departments, or quick chips are updated in the Edvora console.

✓ Method 1 (Recommended — 15 Mins): In-App WebView
Embed the lightweight full-screen Edvora chat container. Real-time updates, department switcher, quick chips, and lead capture forms update instantly from the cloud with zero app updates.
⚡ Method 2: Headless REST / Chat API
Direct HTTP inference via POST /api/chat/message for engineering teams creating a 100% custom bespoke native chat UI.
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Method 1 (Recommended): In-App Lightweight WebView

Copy and paste the snippet for your preferred mobile framework. Takes less than 15 minutes to run.

// Install: npx expo install react-native-webview OR npm i react-native-webview React Native / Expo 

                


                
                

                
                

                
                

                
                
            


            
            

                

                    ● Live Webview URL:
                    https://edvora.chat/widget/YOUR_BOT_TOKEN
                

                

                    
                    
                

            

        


        
        

            

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                    Method 2: Headless REST / Chat API Specification
                

            

            

                If your team prefers building a completely custom native chat UI, send HTTP POST requests directly to Edvora's inference gateway.
            


            

                

                    
                        Request Parameters
                    
                    

                        
bot_token (required): Your chatbot's token.

                        
message (required): The student's text message.

                        
visitor_id (optional): Device UUID for session continuity.

                        
department_id (optional): Target department ID.

                    

                


                

                    
                        Response Format
                    
                    

                        
status: "success" or "error"

                        
data.reply: The formatted AI answer.

                        
data.intent: Classified student intent.

                        
data.quick_chips: Array of contextual follow-up chips.