Client
Therapify
Overview
At its core, Therapify is an AI-powered system designed to make emotional support more accessible, especially in moments when traditional therapy might not be immediately available. Users engage with the app entirely through voice interactions—not just speaking to the system, but also receiving spoken responses that are empathetic, context-aware, and grounded in psychological research. The app uses real-time voice and sentiment analysis to understand what users are feeling and responds with tailored conversational therapy techniques. These interactions evolve dynamically through machine learning algorithms that refine their understanding with every conversation. After the initial support, users are guided to verified, nearby therapists based on location and specialization, offering a clear and helpful next step in their wellness journey. In cases of emergency, the app automatically escalates the situation by alerting suicide prevention hotlines, using predefined ethical triggers and privacy-respecting protocols. Throughout the system, I prioritized data ethics, user safety, and emotional sensitivity, striving to build not just a tech product, but a compassionate tool.
Client
Therapify
Industry
Beverage
Service
UI/UX Design
App Development
Digital Design
Content
Deployment & DevOps
Duration
6 Months
The Challenge
One of the biggest challenges was ensuring that a machine could hold conversations that felt truly empathetic and emotionally intelligent. Sentiment analysis alone wasn’t enough—understanding tone, nuance, and intent in human speech required a lot of experimentation, especially when fine-tuning the Gemini model to handle sensitive emotional states. Another challenge was building a seamless and natural voice interface. Unlike typical voice assistants, Therapify needed to listen actively, respond empathetically, and maintain emotional continuity in conversations. Designing these flows while also managing real-time data processing and privacy concerns was a complex balancing act.
The Solution
To address emotional intelligence, I fine-tuned Gemini on a curated dataset of therapy transcripts, emotional tone variations, and psychological response models. This allowed the AI to recognize not just what a user was saying, but how they were feeling. I used speech emotion recognition APIs layered with custom sentiment models to enhance accuracy and responsiveness. For the voice interface, I built the mobile app in Flutter and implemented smooth, bidirectional voice interactions. Users could speak naturally, and the system would respond in real time with synthesized yet human-like speech. I focused on short latency times, subtle feedback loops, and natural pacing to avoid robotic or jarring interactions.
The Result
Therapify became a fully functional prototype with a compelling brand presence, a research-backed foundation, and meaningful user simulations. It successfully demonstrated how AI and ethical design can intersect to provide real-time, voice-based emotional support.The project was accompanied by a published research paper, adding academic validation to the system's structure and methodology. It earned a copyright, securing its originality and innovation. In user testing scenarios, the app received strong feedback for its voice experience, emotional tone accuracy, and seamless guidance toward professional help. Most importantly, Therapify showed that it's possible to create tech that is both cutting-edge and compassionate—providing support without replacing the human element, but rather enhancing it.
