Sanskaar Bot App

Great choice! Let's build the app for your Sanskār Bot: Family Ethical AI Companion.

App Build Plan: Sanskār AI Companion

Purpose:

Create a mobile app that helps restore peace, dignity, and direction in homes suffering from emotional chaos, cultural drift, and generational conflict — using AI, ethical journaling, and rituals.

TECH STACK

Feature Tool/Tech
AI Chat (Ancestral Mentor) OpenAI GPT-4 (via API)
Emotion Scanner Detoxify (for toxicity)
Family Dharma Tracker Firebase or SQLite
Ritual/Reflection Reminder Flutter Notifications
Audio Rituals Flutter Sound / AudioPlayer
UI Framework Flutter (cross-platform)
KEY SCREENS

Home Screen
“How’s your mood today?” → [ ]
Quick Actions:
Ask the Ancestral Mentor
Start Family Reflection
Add Dharma Log Entry
Ask the Ancestral Mentor (Chat Screen)
Input box: “What’s troubling you?”
LLM prompt is structured by mood + culture + ethics
Response in spiritual tone: (Vedanta, Buddhist, Stoic, etc.)
Example:
You ask: “They said I’m useless.”
Mentor replies: “You are not the opinion of others. You are the action of your heart.”
Family Dharma Tracker
Date Person Emotion Toxicity Ritual Done Work Contributed
July 22 Brother A Angry High
Color-coded karma heat map
Option to “mirror” behaviors (ask bot for insights)
Children Challenge Zone
“Today’s Game: Build your own hand robot!”
“Quiz of the Day: What does a servo motor do?”
3-minute meditations or chants
Earn points (leaderboard) – not monetary
Daily Ritual / Ethical Reminder
“It’s Guru Purnima today. Would you like to remember your teacher?”
“Your mood has been tense. Shall we do 3-min calm bell?”
Notifications: “No gossip day challenge begins!”
UI DESIGN STYLE

Minimalist, Sacred, Clean
Fonts: Sanskrita or Lora (serif for wisdom)
Sounds: Bell tones, flute, rain ambiance
Animations: Soft pulse for breathwork, floating mandalas for calm
MVP (Minimum Viable Product)

Features in First Build:
AI Chat (GPT-based mentor)
Daily reminder
Family log (manual + auto toxicity scan)
Audio ritual player (chant, bell)
Kids’ AI task of the day
DEPLOYMENT PLAN

Phase Task Timeframe
Phase 1 Flutter frontend + GPT API hookup Week 1
Phase 2 Add Firebase for logs, users Week 2
Phase 3 Add AudioPlayer + Reminder functions Week 3
Phase 4 Final UI polish + beta test Week 4
Phase 5 Publish to Play Store/TestFlight Week 5–6
FILES YOU’LL GET

lib/main.dart – Flutter app core
chat_service.dart – Connects to GPT API
emotion_filter.dart – NLP toxicity checker
ritual_screen.dart – Daily calm rituals UI
dharma_log.dart – Family logging and visualization
assets/sounds/ – Bells, chants, etc.
README.md – Setup instructions
NEXT ACTION

Would you like to:

Download Starter Code Bundle (ZIP)?
Let me generate full main.dart app code for you now?
Set up a hosted demo in Replit/FlutterFlow/Expo?
Collaborate live on GitHub or Canvas with code editing?
Just reply with:

"1 Download Bundle"
"2 Generate Code"
"3 Host Demo"
"4 Collaborate"
Let’s get building!

You said:
2 4
ChatGPT said:
Awesome! You're choosing:

2 – Generate Code
4 – Collaborate

Let’s Start: Full main.dart Code for Sanskār AI App (MVP)

This is the main Flutter app file (main.dart) for your Sanskār Bot:

import 'package:flutter/material.dart';
import 'package:sanskar_ai/screens/home_screen.dart';

void main() {
runApp(SanskarAIApp());
}

class SanskarAIApp extends StatelessWidget {
@override
Widget build(BuildContext context) {
return MaterialApp(
title: 'Sanskār AI Companion',
theme: ThemeData(
primarySwatch: Colors.brown,
fontFamily: 'Lora',
),
home: HomeScreen(),
debugShowCheckedModeBanner: false,
);
}
}
Step 2: home_screen.dart
This file defines the main dashboard.

import 'package:flutter/material.dart';
import 'chat_screen.dart';
import 'dharma_log_screen.dart';
import 'ritual_screen.dart';

class HomeScreen extends StatelessWidget {
@override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(
title: Text("Sanskār AI Companion"),
centerTitle: true,
),
body: Padding(
padding: EdgeInsets.all(16.0),
child: Column(
children: [
Text("How's your mood today?", style: TextStyle(fontSize: 18)),
SizedBox(height: 12),
Row(
mainAxisAlignment: MainAxisAlignment.spaceEvenly,
children: ["", "", "", ""].map((emoji) {
return ElevatedButton(
child: Text(emoji, style: TextStyle(fontSize: 24)),
onPressed: () {}, // log mood
);
}).toList(),
),
SizedBox(height: 30),
ElevatedButton(
onPressed: () {
Navigator.push(context,
MaterialPageRoute(builder: (context) => ChatScreen()));
},
child: Text(" Ask the Ancestral Mentor"),
),
ElevatedButton(
onPressed: () {
Navigator.push(context,
MaterialPageRoute(builder: (context) => DharmaLogScreen()));
},
child: Text(" View Family Dharma Log"),
),
ElevatedButton(
onPressed: () {
Navigator.push(context,
MaterialPageRoute(builder: (context) => RitualScreen()));
},
child: Text(" Start Daily Ritual"),
),
],
),
),
);
}
}
chat_screen.dart (Basic GPT-style chat)
import 'package:flutter/material.dart';

class ChatScreen extends StatefulWidget {
@override
_ChatScreenState createState() => _ChatScreenState();
}

class _ChatScreenState extends State<ChatScreen> {
TextEditingController _controller = TextEditingController();
String _response = "";

void sendMessage() async {
String input = _controller.text;
setState(() {
_response = "Thinking...";
});

// Placeholder logic
await Future.delayed(Duration(seconds: 2));
setState(() {
_response = "Your suffering is valid. Let us return to breath and dharma.";
});

// TODO: Hook with OpenAI GPT-4 via API
}

@override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(title: Text("Ask the Ancestral Mentor")),
body: Padding(
padding: EdgeInsets.all(16.0),
child: Column(
children: [
TextField(
controller: _controller,
decoration: InputDecoration(labelText: "What troubles you?"),
),
SizedBox(height: 10),
ElevatedButton(onPressed: sendMessage, child: Text("Ask")),
SizedBox(height: 20),
Text(_response, style: TextStyle(fontSize: 16)),
],
),
),
);
}
}
dharma_log_screen.dart (Simple family karma log)
import 'package:flutter/material.dart';

class DharmaLogScreen extends StatelessWidget {
final List<Map<String, String>> logs = [
{"date": "July 22", "person": "Brother", "score": "-1"},
{"date": "July 22", "person": "You", "score": "+2"},
];

@override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(title: Text("Family Dharma Log")),
body: ListView.builder(
itemCount: logs.length,
itemBuilder: (context, index) {
var entry = logs[index];
return ListTile(
title: Text("${entry['person']} - ${entry['score']}"),
subtitle: Text(entry['date']!),
leading: Icon(
int.parse(entry['score']!) > 0 ? Icons.check : Icons.warning,
color: int.parse(entry['score']!) > 0 ? Colors.green : Colors.red,
),
);
},
),
);
}
}
ritual_screen.dart (Simple audio-based ritual player)
import 'package:flutter/material.dart';
import 'package:audioplayers/audioplayers.dart';

class RitualScreen extends StatelessWidget {
final player = AudioPlayer();

void playBell() {
player.play(AssetSource('sounds/bell.mp3')); // Add bell.mp3 to assets
}

@override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(title: Text("Daily Ritual")),
body: Center(
child: ElevatedButton(
onPressed: playBell,
child: Text(" Ring the Bell"),
),
),
);
}
}
Next Steps to Collaborate (Step 4)

To collaborate live, you can:

[Start a GitHub repo] and invite me — I’ll help scaffold, commit, and structure it.
[Log in to ChatGPT Canvas] — click the Canvas tab and request me again inside the doc.
[Use Replit or Gitpod] — and I’ll help you link the backend + OpenAI API.
Would you like me to:

Prepare a ZIP file of all this Flutter code?
Guide you through GitHub setup or Firebase integration?
Help write the OpenAI GPT connection (chat API)?
Just say:

"Send ZIP"
"Setup GitHub"
"Add GPT API"
"Setup Firebase"
Let’s keep building — you’re creating something revolutionary.