"EchoGuardian"
Clean feed. Clear mind.
About
EchoGuardian is an AI-powered platform for digital well-being that helps users filter harmful and unwanted content from their social media feeds. Available on iOS and Android, the platform acts as a protective layer between users and online media, making social browsing calmer, safer, and more intentional.
Client's Request
The client turned to us with a clear vision: create a mobile platform that could actively protect users from toxic and distracting content across social networks. The goal was not just content blocking but intelligent moderation that understands context and adapts to personal preferences.
What the client needed to achieve:
- Smart content filtering: Detect toxic, offensive, misleading, or triggering content using contextual AI analysis, not simple keywords.
- Multi-platform connectivity: Securely connect multiple social media accounts and manage them from one place.
- Personalized moderation rules: Let users decide what they want to see — and what they don’t — with flexible filter categories and sensitivity levels.
- Real-time “Clean Feed” experience: Instantly hide, blur, or deprioritize unwanted content without disrupting normal browsing.
- Simple, accessible setup: Make advanced AI moderation understandable for non-technical users.
- Privacy-first approach: Ensure secure authentication, minimal data storage, and responsible handling of user information.
- Scalable architecture: Support real-time analysis across multiple platforms with room for future growth.
The end goal is to deliver a solution that promotes a healthier, safer, and more positive social media experience, reducing exposure to negativity while maintaining user control and personalization.
Here’s What We Did
We designed and built a cross-platform mobile application that combines AI-driven content intelligence with a user-centric experience, turning a complex moderation system into a simple daily tool.
How we implemented the solution:
- AI content intelligence layer: Built an NLP-based engine that analyzes tone, intent, and context in real time, reducing false positives and improving filtering accuracy over time.
- Secure social platform integrations: Implemented OAuth-based connections to supported platforms, allowing users to link and manage multiple accounts safely.
- Flexible personalization system: Developed a rule-based filtering engine with adjustable sensitivity, category-based controls, and custom keyword options.
- Clean Feed mode: Introduced a one-tap mode that dynamically hides or deprioritizes unwanted content while keeping relevant posts visible.
- Intuitive mobile UX: Created a clean onboarding flow, visual filter controls, and clear feedback explaining why content was filtered.
- Privacy & security foundation: Applied encrypted data transmission, secure authentication, and minimal data retention from day one.
- Scalable backend: Deployed a cloud-ready infrastructure optimized for real-time AI inference and multi-platform data streams.
Here’s the Result
As a result, EchoGuardian launched as a fully functional iOS and Android app that gives users real control over their digital environment. The platform successfully balances powerful AI moderation with a smooth, user-friendly experience, making content filtering feel natural rather than intrusive. Our expertise in mobile development, integrations, and scalable backend architecture allowed the product to handle real-time content analysis while maintaining strong privacy standards.
Who worked on it:
Project Manager;
Tech Lead;
Front-end developer;
Back-end developer;
Industry
MediaSystem type
Mobile client portalTime to release
5 monthsBillable hours
680 hrTechnology stack
Category
Releases
Minimum Viable Product
AI content analysis foundation, mobile app skeleton (iOS & Android), authentication, basic UI, initial backend setup.
v.1.1
Social Integrations & Filters
First social platform integrations, core filtering logic, user-defined content categories, sensitivity levels, basic dashboard.
v.1.2
Clean Feed & UX Improvements
Clean Feed mode, real-time hide/blur logic, improved onboarding, UX refinements, bug fixes from early testing.
v.1.3
Privacy, Scalability & Polish
Privacy-first architecture finalization, performance optimization, scalable backend improvements, release preparation for App Store & Google Play.
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