SosheIQ
Inspiration
Coming out of the COVID-19 pandemic, I noticed something unsettling: people had forgotten how to talk to each other. The isolation, combined with our already screen-saturated lives, had created a perfect storm. Eye contact became rare, group interactions turned tense, and many individuals — especially young adults — felt disconnected, not just from others, but from themselves.
This wasn’t just anecdotal. Social anxiety rates spiked. Relationship formation slowed. Even birthrates fell in parallel with a global decline in interpersonal connection. I created SosheIQ to address that — to reawaken the lost art of conversation and human connection in a post-pandemic world.
What it does
SosheIQ is an AI-powered social skills trainer designed to help users improve real-world interpersonal communication. It simulates lifelike conversations — complete with social cues, nonverbal hints, and subtle emotional signals — and evaluates how users respond.
Key features:
- Simulated AI conversations with context-based feedback
- Nonverbal cue recognition (e.g., facial expressions, posture hints)
- Visual prompts and avatars generated using Imagen
- Social cue analysis for empathy, timing, and appropriateness
- Progress tracking over time
Think of it as a personal trainer for your social intelligence.
How we built it
We built SosheIQ using:
- Next.js for a fast, interactive front-end
- Gemini API to generate dynamic, scenario-based dialogues and evaluate responses
- Imagen API to create expressive avatars and nonverbal visual cues
- Node.js backend for session tracking and scoring logic
- Google Cloud Run to host and scale our app effortlessly
- Tailwind CSS for a clean and accessible UI
The architecture is modular to support future expansion into voice/video simulation.
Challenges we ran into
- Nuancing human behavior: Teaching AI to recognize or simulate tone, intent, and nonverbal cues required thoughtful prompting and iterative fine-tuning.
- Realistic visuals: Integrating Imagen in a way that enhanced the experience without uncanny valley effects took UI/UX iteration.
- Feedback tone: Designing feedback that was honest but encouraging — like a real social coach — was harder than expected.
- Post-pandemic realism: Balancing realistic social scenarios with optimism (without making them too clinical or awkward) was a creative challenge.
Accomplishments that we're proud of
- Created a working AI model that gives real-time conversational feedback
- Integrated dynamic visuals that reflect tone and social context using Imagen
- Developed a design system that feels approachable and non-judgmental
- Built a scalable backend for tracking emotional/social growth
- Got validation from early testers who said it “felt like therapy but more fun”
What we learned
- Social intelligence is just as trainable as technical skill
- Visuals can amplify empathy when used with intention
- People are eager for judgment-free spaces to practice being human again
- Crafting emotional intelligence into an AI product is not only possible — it’s essential
- Conversation is a two-way rhythm, not just scripted input/output
What's next for SosheIQ
- Integrate voice analysis and facial emotion detection for richer simulations
- Introduce customizable personas (e.g., date night, job interview, family dinner)
- Partner with therapists and educators to fine-tune simulation content
- Expand into HR and soft-skills training environments
- Build out a mobile version for on-the-go practice
Our ultimate goal is to make SosheIQ a core part of how people build confidence in the one skill we all need — human connection.


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