TEMANI APP - Ai Companion for Scam Detection
A warm, accessibility-first AI safety companion designed to help elderly users understand, detect, and avoid digital scams, phishing, and emotional manipulation.
Overview
Cybersecurity scams target the elderly at an alarming rate, manipulating them through fear, urgency, and impersonation. Standard security tools fail this vulnerable group because they are filled with highly technical jargon, creating additional anxiety and confusion rather than clarity.
TEMANI shifts the paradigm from complex security dashboards to an intuitive, emotional companion centered around the living "AI Orb." Users do not need to type or navigate complex settings; they simply speak or upload screenshots of suspicious messages, and TEMANI listens, processes, and talks back using warm, reassuring, and slow-paced vocal feedback.
By utilizing Google Gemini Vision for screenshot analysis and heuristic checkups for URLs, TEMANI analyzes threats in real-time. Crucially, the platform operates on a "Reduce Fear" design philosophy—disarming anxiety and supplying clear, actionable safety steps in a calm, non-judgmental tone.
The Mission
Empowering elderly users to navigate the digital world safely, calmly, and confidently through a warm and patient AI safety companion.
The Client
Internal / Competition Project
Peace of Mind
Of tested elderly users reported feeling significantly calmer and more confident after checking digital threats
Core Features
Emotional AI Companion (AI Orb)
The centerpiece of the application: a living, glowing AI Orb that uses smooth visual feedback and breathing animations to establish a warm, friendly, and anxiety-free environment.
Multimodal Scam Scanner
Eliminates the complexity of copy-pasting. Users can simply upload a screenshot of any suspicious chat or SMS, and the multimodal AI instantly identifies deceptive tactics.
Voice-First Dialogue
Minimizes typing obstacles. Users speak their concerns, and the system translates threats into warm, spoken language designed to reassure rather than alarm.
Tech Stack
Project Screenshots
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