Inspiration

What if you could practice/train for your job interview and get feedback on your performance? That's exactly what Mensetsu can help you do! Via our unique platform, you can record your responses to specific questions, have our AI-powered interviewer give you feedback (via voice/text), or have one of our pro-interviewers reviews your recording, perform a live mock interview, provide feedback, and suggest improvements. Our goal is to help remove the fear, stress, and associated anxiety of interviewing by giving you the practice you need to succeed!

What It Does

Setsu AI - Interview Practice

Setsu is a career conversation tool, equipped with highly-customizable AI. Apart from the standard QnA and interview feature, it can also provide suggestions for your improvement

Get Professional Help with a ProKitten

With Mensetsu, users can request further coaching from our live ProKitten Coaches. Their users can get human feedback on their interview responses and behavior in a one-on-one session.

Practice Anywhere, Any time

Built to be used asynchronously, Mensetsu uses AI to provide you with the feedback you need to land your dream job. Our software analyzes your tone and expression to help you refine your interview skills while keeping track of your progress.

How We Built It

Our Software is designed with a micro-service architecture with a frontend built entirely with React Native, Our API is built on a Python Server, that utilizes Flask & the Capital One Nessie API. We attempted to build this as a micro-service architecture to support various different backend languages.

The front end is built upon a solid foundation of the ReactNative-Redux-Javascript project.

Overall, our current iteration is a designed and semi-functional application that is built for mobile devices, accessible using any modern device.

The API Gateway is built on Python with Flask conducting the routing. Our API Gateway also conducts important authentication with Google Firebase.

Technologies Used (Our Stack)

MensetsuStack

In only 44 hours, we were tasked with creating a web application to support help young adults budget their money.

Stack	Technology Used
Front-End	React, Figma, TypeScript , Sass
Back-End	NodeJS, SocketIO, Firebase, Heroku, Express
Cloud/Hosting	Netlify
Database	Firestore
Querying	Firestore

Challenges We Ran Into

When developing Mensetsu we opted to utilize a more complex backend which included

Designing a modular frontend with support
Utilizing a face tracking model
WebRTC for Peer 2 Peer Video Call with Express server for signaling

Accomplishments We're Proud Of

Creating a really kawaii design
Implementing most designs into code through styling
Building a working Conference Call
Building an app that affects us directly as young adults with no interview skills!

What We Learned

Through the process of developing Mensetsu for SFHacks 2022, we learned many skills that will help our team as we work on other projects in the future.

Prioritization of features
Git and project management skills in a fast-paced team environment
Greater collaboration for data analysis and modeling
Importance of planning and user research prior to developing an application
Networking

Business Viability

Revenue Streams

Pay to get sessions with a ProKitten
Token system to unlock more daily Interviews with Setsu

Obtaining Users

Working with prep platforms like the Interview Handbook
Target certain demographics & adapt to environments such as universities, high schools, and other communities

Lowering Expenses

Deploying & building a web app allows for extensive A/B testing of users with respect to new features
Scalable backend technologies provide throughput to scale the technology needed.
Minimalizing on "additional features" by having the goal set to peer-relationship building