SafeMind - Technical Recommendations
Overview
This document provides comprehensive recommendations for building SafeMind, a youth safety application that detects harmful language and unsafe conversational patterns in AI interactions.
Recommended Technology Stack
Backend
Option 1: Node.js + TypeScript (Recommended)
- Framework: Express.js or Fastify
- Runtime: Node.js 20+ LTS
- Why:
- Excellent async handling for real-time monitoring
- Large ecosystem of NLP libraries
- Easy integration with most APIs
- TypeScript adds type safety
Option 2: Python + FastAPI
- Framework: FastAPI or Flask
- Why:
- Superior ML/AI library ecosystem (scikit-learn, transformers, spaCy)
- Better for custom model training
- Excellent NLP tools
Frontend
Option 1: React + Next.js (Recommended)
- Framework: Next.js 14+
- UI Library: shadcn/ui (free, accessible components)
- Why:
- Server-side rendering for better performance
- Easy deployment on Vercel (free tier)
- Great developer experience
Option 2: Vue.js + Nuxt
- Simpler learning curve
- Good for smaller teams
Database
Option 1: PostgreSQL (Recommended)
- Hosting: Supabase (free tier: 500MB)
- Why:
- Robust, reliable, open-source
- Built-in full-text search
- JSON support for flexible data
- Supabase includes auth & real-time features
Option 2: MongoDB
- Hosting: MongoDB Atlas (free tier: 512MB)
- Why:
- Flexible schema
- Good for rapid prototyping
Hosting & Deployment (All Free Tiers)
- Frontend: Vercel or Netlify
- Backend: Railway, Render, or Fly.io
- Database: Supabase or MongoDB Atlas
- Object Storage: Supabase Storage or Cloudflare R2
Free Content Moderation APIs & Tools
1. Perspective API (Google Jigsaw)
Best for: General toxicity detection
- Free tier: 1 request/second (unlimited)
- Detects:
- Toxicity, severe toxicity
- Identity attacks, insults
- Profanity, threats
- Sexually explicit content
- API: https://perspectiveapi.com
- Limitation: English-focused, may have cultural biases
2. OpenAI Moderation API
Best for: Comprehensive content safety
- Free tier: Free for OpenAI API users
- Detects:
- Violence, self-harm
- Sexual content
- Hate speech
- Harassment
- API: https://platform.openai.com/docs/guides/moderation
- Advantage: Very accurate, multi-category
3. HuggingFace Models (FREE)
Best for: Custom detection & privacy
- Models to consider:
unitary/toxic-bert - Toxicity detection
martin-ha/toxic-comment-model - Multi-label toxicity
facebook/roberta-hate-speech-dynabench-r4-target - Hate speech
distilbert-base-uncased-finetuned-sst-2-english - Sentiment analysis
- API: HuggingFace Inference API (free tier available)
- Self-hosting: Can run models locally with transformers library
- Advantage: Privacy-preserving, customizable
Best for: Custom model deployment
- Models: Pre-trained text classification models
- Cost: Completely free
- Advantage: Can run entirely offline
Mental Health & Crisis Detection Resources
Crisis Text Line API
- Purpose: Professional crisis intervention
- Access: May require partnership/application
- URL: https://www.crisistextline.org/
988 Suicide & Crisis Lifeline
- Purpose: Direct crisis intervention
- Integration: Phone/SMS integration via Twilio
Mental Health Keyword Detection
Build custom rules for:
- Suicidal ideation indicators
- Self-harm language
- Depression/anxiety patterns
- Isolation/hopelessness themes
Free NLP Tools:
- spaCy: Industrial-strength NLP
- NLTK: Natural Language Toolkit
- Pattern matching: Regular expressions + keyword lists
Recommended Architecture
┌─────────────────────────────────────────────────────┐
│ User Interface │
│ (Next.js + React) │
└──────────────────────┬──────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────┐
│ API Gateway │
│ (Express.js / FastAPI) │
└──────┬─────────────┬──────────────┬─────────────────┘
│ │ │
▼ ▼ ▼
┌──────────┐ ┌──────────┐ ┌──────────────────┐
│ Content │ │ Pattern │ │ Alert/ │
│ Analyzer │ │ Detector │ │ Notification │
│ │ │ │ │ System │
└──────┬───┘ └────┬─────┘ └────┬─────────────┘
│ │ │
└───────────┼──────────────┘
▼
┌───────────────┐
│ Database │
│ (PostgreSQL) │
└───────────────┘
Core Components
1. Content Analyzer
- Receives conversation text
- Runs through multiple detection layers:
- Perspective API (toxicity)
- OpenAI Moderation (categories)
- HuggingFace models (specialized detection)
- Custom keyword matching (mental health)
2. Pattern Detector
- Analyzes conversation patterns over time
- Detects escalation
- Identifies repetitive harmful themes
- Tracks sentiment trends
3. Alert System
- Risk scoring algorithm
- Multi-level alert thresholds
- Notification to trusted contacts
- Crisis resource recommendations
4. Dashboard
- Real-time monitoring
- Historical analysis
- Alert management
- Resource library
Implementation Phases
Phase 1: MVP (2-4 weeks)
- Basic API integration (Perspective + OpenAI Moderation)
- Simple text analysis endpoint
- Risk scoring algorithm
- Alert notification system
- Basic dashboard
Phase 2: Enhanced Detection (4-6 weeks)
- Add HuggingFace models
- Implement pattern detection
- Conversation history analysis
- Sentiment tracking
- Custom mental health keyword system
Phase 3: User Experience (4-6 weeks)
- Parent/guardian dashboard
- Youth privacy features
- Resource library integration
- Reporting system
- Analytics dashboard
Phase 4: Advanced Features (6-8 weeks)
- Custom model training on your data
- Multi-language support
- Platform integrations (APIs)
- Machine learning improvements
- Predictive risk modeling
Privacy & Compliance Considerations
COPPA Compliance (Children’s Online Privacy Protection Act)
- Requirement: Parental consent for children under 13
- Implementation: Verifiable parental consent mechanism
- Data collection: Minimize PII collection
FERPA (if used in schools)
- Educational records privacy
- Proper data handling procedures
- May apply if working with healthcare providers
- Require Business Associate Agreements (BAA)
General Best Practices
- Encryption: All data in transit (TLS) and at rest
- Anonymization: Hash or pseudonymize user identifiers
- Data retention: Clear policies on data deletion
- Consent: Explicit opt-in from parents/guardians
- Transparency: Clear explanation of monitoring
Recommended Free Services Summary
API Services
| Service | Purpose | Free Tier | Link |
|———|———|———–|——|
| Perspective API | Toxicity detection | 1 req/sec | https://perspectiveapi.com |
| OpenAI Moderation | Content safety | Free w/ API key | https://platform.openai.com |
| HuggingFace | ML models | Limited free | https://huggingface.co |
| Twilio | SMS/notifications | Trial credits | https://twilio.com |
| SendGrid | Email | 100/day free | https://sendgrid.com |
Infrastructure
| Service | Purpose | Free Tier | Link |
|———|———|———–|——|
| Vercel | Frontend hosting | Generous free | https://vercel.com |
| Railway | Backend hosting | $5 credit/month | https://railway.app |
| Supabase | Database + Auth | 500MB + 50k users | https://supabase.com |
| Cloudflare | CDN + DDoS | Free tier | https://cloudflare.com |
| Tool | Purpose | Cost |
|——|———|——|
| VS Code | IDE | Free |
| Git + GitHub | Version control | Free |
| Postman | API testing | Free tier |
| Discord/Slack | Team communication | Free |
Sample Tech Stack (Recommended)
{
"frontend": {
"framework": "Next.js 14",
"language": "TypeScript",
"ui": "shadcn/ui + Tailwind CSS",
"state": "Zustand or React Query",
"deployment": "Vercel"
},
"backend": {
"runtime": "Node.js 20",
"framework": "Express.js",
"language": "TypeScript",
"validation": "Zod",
"deployment": "Railway"
},
"database": {
"primary": "PostgreSQL",
"hosting": "Supabase",
"orm": "Prisma"
},
"ai_services": {
"toxicity": "Perspective API",
"moderation": "OpenAI Moderation API",
"ml_models": "HuggingFace Inference API",
"custom_nlp": "spaCy"
},
"notifications": {
"email": "SendGrid",
"sms": "Twilio",
"push": "Firebase Cloud Messaging"
}
}
Getting Started Steps
- Set up development environment
# Install Node.js and pnpm
curl -fsSL https://get.pnpm.io/install.sh | sh -
# Create Next.js app
pnpm create next-app@latest safemind-app --typescript --tailwind --app
# Create backend
mkdir safemind-backend
cd safemind-backend
pnpm init
pnpm add express typescript @types/express @types/node
- Sign up for services
- Get Perspective API key: https://developers.perspectiveapi.com/s/
- Get OpenAI API key: https://platform.openai.com/signup
- Create Supabase project: https://supabase.com
- Create Vercel account: https://vercel.com
- Build MVP
- Create basic API endpoint
- Integrate Perspective API
- Test with sample conversations
- Build simple dashboard
- Iterate and expand
- Add more detection layers
- Implement pattern analysis
- Build notification system
- Refine risk scoring
Additional Resources
Learning Resources
- Next.js: https://nextjs.org/learn
- TypeScript: https://www.typescriptlang.org/docs/
- FastAPI (if Python): https://fastapi.tiangolo.com/
- NLP with spaCy: https://course.spacy.io/
Safety & Moderation
- Trust & Safety: https://www.tspa.org/
- Content Moderation: https://www.contentmoderatorsummit.com/
- Youth Mental Health: https://www.jedfoundation.org/
Communities
- r/MachineLearning: Reddit community
- HuggingFace Forums: https://discuss.huggingface.co/
- Discord servers: Join ML and web dev communities
Risk Categories to Monitor
1. Self-Harm & Suicide
- Direct statements of intent
- Methods discussion
- Goodbye messages
- Hopelessness themes
2. Violence
- Threats to others
- Violence planning
- Weapon discussions
- Bullying/harassment
3. Hate Speech
- Racism, sexism
- Religious intolerance
- LGBTQ+ hate
- Xenophobia
4. Sexual Content
- Explicit content
- Grooming patterns
- Age-inappropriate material
- Sexual harassment
5. Substance Abuse
- Drug use encouragement
- Alcohol abuse
- Substance seeking
6. Mental Health Decline
- Depression indicators
- Anxiety escalation
- Isolation patterns
- Declining sentiment
Next Steps
- Review this document thoroughly
- Choose your tech stack based on your team’s expertise
- Set up development environment
- Create proof-of-concept with Perspective API
- Build incrementally following the phases outlined
- Consult with mental health professionals for detection criteria
- Consider legal counsel for privacy compliance
- Partner with youth organizations for testing and feedback
Questions? Feel free to ask for clarification on any section or for help implementing specific components.