Applied AI that serves us, not the other way around.
Callmly is your intelligent interview assistant. Unlike other tools that give you "cheats," Callmly helps you grow by fixing real-time communication issues like pacing, filler words, and stress management.
Let’s be real for a second: Job hunting is stressful.
Interviews fly by in a blur. We noticed that most AI tools act like cheat codes—giving you answers but hurting your actual skills in the long run. We didn't want a crutch; we wanted a coach. We built Callmly to be a technology that fosters innovative and responsible growth.
Callmly acts as your invisible wingman during interviews. Using facial recognition and live NLP analysis, it watches your back (and your face!) while you speak.
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🏎️ Pace Tracking: We track your Words Per Minute (
$WPM$ ) live to ensure you aren't rushing. - 🧠 Vocabulary Analysis: We monitor diversity, sentiment, and certainty, and keep a strict count on those pesky filler words.
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💓 Pulse Check: We monitor your Heart Rate (
$HR$ ) to help you practice stress management. - ⭐ STAR Format: Real-time assistance to keep your responses structured and timed perfectly.
We built this with a modern stack designed for speed and real-time processing:
- Frontend: React, TypeScript
- Backend: Node.js
- AI & Logic: Natural Language Processing (NLP), Gemini API
- Biometrics: Presage (Heart rate/Emotion tracking)
We are super proud of our Facial Recognition setup. It takes a baseline screenshot of your face and then locks onto you during the live screenshare, ignoring background noise and focusing solely on your performance.
We learned that "soft skills" are actually hard data. Working with the Gemini API taught us how to quantify concepts like sentimentality and certainty, transforming raw transcripts into actionable feedback.
Right now, we help the interviewee. Next, we want to arm the Recruiters. Imagine giving hiring managers "hidden statistics" to help them understand candidates on a deeper level. Callmly will bridge the gap from both sides.
To run Callmly locally:
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Clone the repo
git clone [https://github.com/r05200/interviewapp.git](https://github.com/r05200/interviewapp.git) cd interviewapp -
Install Dependencies
npm install
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Environment Variables Create a
.envfile and add your API keys (Gemini, etc.). -
Run the App
npm run dev