spotMe.

Inspiration

• As a shy third-year applying for placement opportunities, I often struggle to feel confident during online interviews / recorded responses.
• Theres so many things you have to think about all at once (eye contact, ect) whilst trying to give a strong answer
• Finding people to practise with may be hard, since they might be busy or not really helpful
• I wanted a tool that could coach me through the process step-by-step, adapt to how I perform, and make the experience feel less intimidating.
• I also wanted instant feedback on my practise

What it does

• Asks you a series of questions, such as: the role your applying for, your strengths/weaknesses and what you want to improve on
• Generates some interview questions for you to practise
• Uses Presage SmartSpectra SKD to record your response, including metric data such as heart rate.
• Analyses the response alongside the metric data and provides feedback

How I built it

• Used Android Studio to create the entire app
• Used the Presage SmartSpectra SKD to analyse metrics
• Use the Gemini AI API to generate questions and provide feedback

Challenges we ran into

I could only use the Android version of the Presage SDK (the C/C++ version was only available on one version of Ubuntu). This meant that I was stuck with developing a mobile app in Kotlin from the start, instead of coding in languages I felt more comfortable using.

What's next for spotMe.

Incorporate eye tracking and emotion detection to enhance the responses provided by the AI assistant.

Built With

• android
• gemini
• kotlin
• presage