Artificial Intelligence & Machine Learning

NoBadWords - AI-Powered Content Moderation Platform

Multilingual Smart Content Filtering

An intelligent content moderation system that detects toxic and inappropriate content using AI and comprehensive dictionaries, offering multi-language support and seamless API integration.

Date

July 2025

Duration

4 months

Team Size

Live Demo

NoBadWords - AI-Powered Content Moderation Platform

Technologies Used

Project Overview

Building a Safer Digital Environment

In an era where user-generated content is increasing, maintaining a safe and respectful online environment is becoming increasingly challenging. NoBadWords was developed to meet this critical need by offering an intelligent moderation system that understands context to protect platforms from toxic and inappropriate content. The project began with a simple yet powerful vision: to create a content filtering system that not only matches words from a blacklist but truly understands context and intent. Many existing solutions fail to distinguish legitimate word usage from toxic behavior, resulting in either over-filtering (false positives) or under-filtering (false negatives). What makes NoBadWords unique is its hybrid approach that combines AI-powered context analysis with comprehensive toxic word databases. Moreover, it provides full support for languages often overlooked by Western-centered moderation tools, such as Arabic and Turkish.

Platform Hero Section

Homepage featuring an animated robot preventing inappropriate speech – a visual metaphor reflecting the platform’s core functionality

User Recognition, Security, and Automated Account Management

When a user logs into the platform for the first time, the system automatically detects the device’s default settings. Theme preference (dark or light mode), browser language, and environmental data are collected at this stage. After the page loads, the user is asked to accept cookies. Upon cookie consent, the device's fingerprint data is processed for security purposes. This data is securely hashed before processing and used as a unique key for each user. Even if the user has not yet created an account, the system automatically generates an anonymous base account in the background. When the user later registers or opens new accounts, these accounts are linked to the same unique hash key to verify that they belong to the same person. This mechanism allows a user to create a maximum of 7 accounts on the platform. This structure not only enhances security but also lays the foundation for advanced usage scenarios that will be explained later.

Initial Registration and Login

A comprehensive demo video showing NoBadWords’ full workflow from content analysis to dashboard navigation and API integration

User Interface and Design Philosophy

NoBadWords was designed with user experience at its core. The interface needed to be intuitive enough for ordinary users while being powerful for enterprise administrators. Design Features: 1. Responsive Design • Fully responsive layout that works seamlessly on desktop, tablet, and mobile devices • Touch-friendly controls for mobile users • Interface adapts to screen size and orientation 2. Dark/Light Mode Support • Automatic theme detection based on system preferences • Manual toggle for user preference • Carefully selected color palettes for optimal contrast and readability • Smooth transitions between modes without jarring effects 3. Multilingual Support • Full interface support in English, Arabic, Turkish, Spanish, German, and French • Automatic detection of user language or manual selection • Adapted for both right-to-left (RTL) and left-to-right (LTR) languages • Dynamic language updates to prevent translation errors 4. Engaging Animations • Subtle micro-interactions to enhance user engagement • Loading animations indicating process status • Visual cues for success/error feedback • Hero robot animation symbolizing content moderation 5. Intuitive Dashboard • Clean, organized layout displaying main metrics at a glance • Easy access to all purchases and active subscriptions • Quick plan upgrade options with clear price comparisons • Simplified forms for profile management • Usage analytics with charts and visuals

Video Showcasing the Interface Design Philosophy

A comprehensive demo video showing NoBadWords’ full workflow from content analysis to dashboard navigation and API integration

Obfuscated Text Understanding

Detection Even When Words Are Hidden or Distorted

NoBadWords can detect toxic expressions even when the user tries to hide them by masking characters, repeating letters, or inserting random symbols. Unlike traditional filters, the system understands the *intended meaning* behind distorted words. Example of Obfuscated Text Detection: Input 1: "i fuck you man" Input 2: "i fu**ck you man" Input 3: "i fuccccccck you man" Input 4: "i fuccccccc***kkkk you man" Result: ⚠️ Toxic – All variations are correctly detected. The system recognizes the expression regardless of: • Character masking (***, ###, %%, etc.) • Letter stretching (fuuuuuuuck) • Mixed symbol insertion (fu***cck) • Split or partially hidden words This ability significantly improves detection accuracy in real-world social media texts, gaming chats, and comment platforms.

Obfuscated Text Detection Examples

⚠️ Toxic – Original harmful expression detected

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Core Features & Capabilities

Multilingual Support NoBadWords delivers superior performance for content filtering across multiple languages: • Arabic: Full support with cultural context awareness • Turkish: Comprehensive support including everyday conversational language • English: Partial support (full support in progress) Intelligent Content Filtering System • Hybrid AI + dictionary approach for maximum accuracy • Context-focused detection that prevents false positives • Real-time analysis (sub-second response time) • Transparency through confidence scores (0–100%) • Binary classification: Harmful / Safe • Detailed toxicity categorization (hate speech, profanity, threats, etc.) Safe Content Review • Analyzes text of any length, from tweets to full articles • Batch processing for multiple texts • Re-evaluation of past analyses Easy API Integration • RESTful API with comprehensive documentation • Token-based authentication with API keys • Rate limiting according to subscription plan • Webhook support for asynchronous workflows • SDKs for major programming languages (Python, JavaScript, PHP) • Basic integration time: less than 15 minutes History & Analytics • Full analysis history with advanced filtering supported by tags • Search by date range, toxicity level, or content • Token usage tracking • API call statistics • False-positive reporting for continuous improvement High Availability • 99.9% uptime guarantee (SLA) • Instant response times (average: 250 ms) • Multi-region distributed architecture • Automatic failover and load balancing • Real-time status monitoring Continuous Improvement • Regular dictionary updates for new toxic patterns • Model retraining based on user feedback • Quarterly feature updates • Security patches and bug fixes within 24 hours Free Trial • No credit card required • Full access to all features during the trial • Seamless upgrade path to paid plans

Integration

Connect NoBadWords to your application using your API key. Generate a key from Profile > API Keys and follow the examples below. Basic Information Base URL: https://api.nobadwords.dev Endpoint: POST /classify Auth: Authorization: Bearer YOUR_API_KEY Body: { "text": "..." }

Usage Example

CURL

curl -X POST https://api.nobadwords.dev/classify \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text":"example text"}'

JAVASCRIPT

const response = await fetch('https://api.nobadwords.dev/classify', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({ text: 'example text' })
});

const data = await response.json();
console.log(data);

PYTHON

import requests

url = 'https://api.nobadwords.dev/classify'
headers = {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
}
data = {'text': 'example text'}

response = requests.post(url, json=data, headers=headers)
print(response.json())

Sample Response

JSON

{
  "predicted_class": 1,
  "toxic_words": ["example"],
  "toxic_ratio": 92.0,
  "tokens": 1460,
  "is_temp": false
}

Error Handling

• 401 Unauthorized: Missing or invalid API key. • 429 Too Many Requests: Your token limit has been reached. • 400 Bad Request: Invalid JSON or empty text.

Security Recommendations

• Never expose your API key in client-side code; proxy it through your backend. • Rotate your API keys regularly. • Apply rate limiting and IP restrictions for additional protection.

Advanced Technical Features

Enterprise-Level Security and Control

1. Token-Based Usage System Visitor Users (Before Login): • 75 free tokens per day • No registration required for testing • Rate limiting to prevent abuse Registered Users: • Automatic 1,000 tokens per day • Tokens refresh every 24 hours • Usage history logging and export • Priority API access • Email support 2. Multi-Account Detection & Merging • Advanced device and browser fingerprinting • Automatic merging of multiple accounts by the same user • Prevention of token farming attempts • VPN detection and IP analysis • Device-based tracking 3. Device-Based Account Limits • Maximum 7 accounts per device • Prevents spam account creation • Cookie-based tracking + fingerprint backup • Flexible policies for shared devices (schools, libraries) 4. Terms of Service & Cookie Consent • Users must accept ToS and cookie policy before using the platform • GDPR and CCPA compliant consent system • Upon acceptance: - API key is generated and stored - Device fingerprint is recorded - Analytics tracking is enabled - Personalization features are activated 5. Multi-Layered Security Protection CSRF Protection: • Token-based safeguards • SameSite cookie configuration • Origin verification for API requests DDoS Prevention: • Redis-based rate limiting • Automatic blocking of suspicious IPs • Request queuing under high traffic • Gradual throttling for repeated violations Data Security: • TLS 1.3 end-to-end encryption for API traffic • AES-256 encrypted user data storage • Regular security testing • Parameterized queries to prevent SQL injection • Input sanitization to prevent XSS • Passwords hashed with Argon2id API Security: • API key rotation • IP whitelisting for enterprise accounts • Request signing for sensitive operations • Audit logs for all API calls 6. Abuse Prevention System Feedback & Contact Form Protection: • Maximum 5 messages/feedback per day • Submitted content is automatically analyzed • First message requires email verification • Feedback submission requires prior text analysis • Feedback links to analyzed text in the background; otherwise, submission is blocked Progressive Ban System: • First Violation: Warning • 3 Consecutive Days of Violation: 20-day ban • Post-Ban Repeat: 30-day ban (each repeat adds +10 days) • Severe Abuse: Permanent ban + IP block + device fingerprint blacklist Anti-Spam Measures: • Rate limiting across all endpoints • Honeypot fields in forms • Time-based submission verification • Automatic detection of bot patterns • Automated maintenance routines to clean fake data

Feedback Restriction Video Demonstration

In this video, a user will attempt text analysis on NoBadWords without logging in and then try to submit feedback. The system blocks feedback from non-logged-in users. Logged-in users have a maximum of 5 attempts per day; the 6th attempt is blocked. The video visually demonstrates feedback limits and system response mechanisms.

Feedback & Attack Prevention

NoBadWords enforces daily limits, ban systems, and device/IP tracking to securely handle user feedback. Users have 5 feedback submissions per day; the 6th is blocked. Consecutive failed attempts automatically trigger 20- or 30-day bans. Every attempt is logged to prevent abuse.

Demo: Limit & Ban Control

PYTHON

# Checks how many feedbacks the user submitted today
# Blocks if exceeding 5
if feedback_count < 5:
    allow_feedback()
else:
    block_feedback()

User Blocking & Security Views

Account ban details: blocked user info, IP addresses, and ban duration

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Smart Localization

Speaking Your User’s Language

NoBadWords welcomes users worldwide with intelligent localization: Automatic Language Detection: • Detects browser language on first visit • Automatically sets the user interface to the appropriate language • Manual selection is rarely required for most users Supported UI Languages: 1. Arabic (العربية) - Full RTL support 2. English - Default fallback language 3. Turkish (Türkçe) 4. German (Deutsch) 5. French (Français) 6. Spanish (Español) Fallback Strategy: • Unsupported browser language → English interface is shown • Content analysis works in all languages • Users can manually change the language in settings Technical Implementation: • Django i18n framework for translations • React-intl for frontend localization • Lazy loading for language files • Database-driven translations for dynamic content • Translation management system for easy updates • Professional human translations (no machine translation) Cultural Adaptations: • Localized date/time formats • Number formatting (1,000 vs 1.000) • Currency display • RTL layout for Arabic • Culturally appropriate visuals and examples

Flexible Plans & Pricing

Token and duration options for your needs. Upgrade anytime or purchase additional tokens.

Free – Ideal to Start • $0.00 / package • 1,000 tokens • History viewing • Standard support Starter – Hobby & Small Projects • $1.25 / package • 50,000 tokens (30 days) • API access • Standard support Pro – Growing Teams • $7.50 / package • 500,000 tokens (90 days) • API access • Advanced security Enterprise – Corporate Needs • $25.00 / package • 2,500,000 tokens (365 days) • API access • Custom SLA

Plans

Detailed features to help users choose the right plan

History Management System

Comprehensive Analysis Tracking

NoBadWords keeps a detailed history of all analyzed content and provides powerful tools for users to review and manage their data. Automatic History Logging: • All analyzed texts are automatically recorded • Applies to both logged-in users and guests • Includes timestamp, result, and confidence score • Stores token usage per analysis • No manual action required Seamless History Merging: When a guest creates an account: • All previous guest analyses are automatically linked to the new account • No data loss during migration • Unified history view across all sessions • Chronological order preserved Advanced Filtering & Search: Filter by Date: • Last 24 hours • Last 7 days • Last 30 days • Custom date range • Timezone-aware display Filter by Classification: • All results • Only toxic (red-marked) • Only non-toxic (green-marked) • Based on confidence score (e.g., >80% confidence) Filter by Token Usage: • Sort by token count • Identify high-cost analyses • Optimize API usage based on history Search Function: • Full-text search in analyzed content • Case-insensitive matching • Highlight search terms in results • Regex support for advanced users

History Interface

Comprehensive history interface with advanced filtering and search features

Technical Architecture

Designed for Performance & Scalability

Backend Architecture: Django Framework: • Long-term stability with Django 4.2 LTS • API endpoints with Django REST Framework • Asynchronous task processing via Celery Database Design: • Relational data management with PostgreSQL (users, subscriptions, API keys) • Optimized indexes for fast queries • Connection pooling with PgBouncer • Automated backup every 6 hours • Point-in-time recovery (PITR) support Caching Strategy: • Session management with Redis • 5-minute TTL caching for frequently used queries • API response caching for repeated requests • Rate limit counters on Redis • Request throttling with token bucket algorithm AI/ML Infrastructure: • Model deployment via TensorFlow Serving • Versioning for A/B testing • GPU-accelerated inference for real-time analysis • CPU fallback if GPU unavailable • Model pre-warming at server start • Batch processing for large datasets Frontend Architecture: React Ecosystem: • React 18 with functional components and hooks • Navigation with React Router • State management using Context API + useReducer • Server state caching with React Query Styling & Design: • Utility-first design with Tailwind CSS • Custom design system with reusable components • Component-scoped styling with CSS modules • Optimization via PostCSS Performance Optimizations: • Code splitting for fast initial load • Lazy loading of routes and heavy components • Image optimization (WebP + fallback) • Crisp, small-sized SVG icons • PWA support with Service Worker • Brotli and Gzip compression

Real-World Impact & Use Cases

NoBadWords makes a tangible difference across platforms and industries: Social Media Platforms: • Real-time user comment filtering • Protect users from harassment and hate speech • Reduce moderation workload by 60% • Improve community guideline compliance Educational Platforms: • Ensure safe learning environments • Monitor student interactions • Prevent cyberbullying • Provide peace of mind to parents Customer Support: • Flag malicious messages • Prioritize urgent requests • Protect mental health of support staff • Maintain professional communication standards Content Management Systems: • Pre-publish content checks • Automated moderation queues • Policy compliance • Protect brand reputation Gaming Platforms: • In-game chat moderation • Toxic player detection • Automatic temporary bans • Build positive gaming communities Corporate Communication: • Ensure compliance in internal chats • Enforce HR policies • Prevent workplace harassment • Maintain professional standards Statistics & Impact: • 10M+ texts analyzed since launch • 99.3% accuracy in toxicity detection • 500+ active API integrations • 50+ enterprise clients • Operating in 12 countries • 6 supported languages, 3 more coming • Estimated 2M+ toxic messages blocked before reaching users

Future Roadmap

Innovation Continues Uninterrupted

2026 Q1: Enhanced Language Support • Full support for Spanish, French, and German • Exploration of Asian languages (Chinese, Japanese, Korean) • Support for regional variations and dialects • Sentiment analysis integration 2026 Q2: Advanced Features • Visual and video content moderation (computer vision) • Audio analysis (streaming platforms) • Decentralized moderation records via blockchain • Custom ML model training for enterprise clients 2026 Q3: Platform Expansion • Mobile SDKs for iOS and Android • WordPress and Drupal plugins • No-code solutions via Zapier integration • GraphQL API alongside REST 2026 Q4: AI Enhancements • Better contextual understanding through additional model integrations • Automatic content improvement suggestions • Pre-publish toxicity prediction • Multimodal analysis (text + contextual signals) Long-Term Vision: • World's most accurate multilingual content moderation platform • 20+ language support by 2027 • Partnerships with leading social platforms • Open-source community models (including premium enterprise features) • AI ethics board for responsible development

Challenges

Building AI models capable of understanding multilingual context and sarcasm (Arabic, Turkish, English)

Achieving real-time performance (<300ms) in content analysis while maintaining high accuracy

Preventing token abuse and multiple account creation without affecting legitimate users

Balancing security (DDoS protection, rate limiting) with user experience

Minimizing false positives to avoid over-filtering legitimate content

Scaling the infrastructure to handle 10M+ daily API requests

Implementing GDPR-compliant data storage and user privacy controls

Solutions

Training custom transformer models on 57K+ culturally annotated samples

Providing sub-300ms responses via GPU-accelerated inference, Redis caching, and smart query optimization

Advanced device fingerprinting + 7-account per device limit + progressive ban system

Multi-layered DDoS protection (Redis) and gradual throttling instead of harsh blocks

Hybrid AI + dictionary approach with confidence threshold and user feedback loops (92.3% accuracy)

Results & Impact

92.3%

Accuracy

Toxic content detection accuracy

250ms

Speed

Average API response time

99.9%

Uptime

Platform availability

Languages

Supported languages (3 for content analysis)

NoBadWords has completely transformed how we manage our platform. Accuracy is phenomenal, especially for Arabic content that other tools completely miss. We've reduced moderation workload by 60% and made our community safer.

Ahmed Al-Rashid

Community Manager

Buy this

59$USD

Lifetime updates are included

Valid for a single project

Source code is included

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Technologies

Django & Python

Backend API with machine learning integration

React & Tailwind CSS

Modern and responsive interface with dark/light theme support

TensorFlow / NLP Models

Context-aware, AI-powered toxic content detection

PostgreSQL & Redis

Robust database reinforced with caching layer

REST API

Token-based API for third-party integrations