Case study / project evidence
Minatku - Career Guidance App
In Indonesia, many students struggle to choose college majors that align with their true interests. According to the Indonesia Career Center Network (ICCN), 87% of students admitted in 2017 that their chosen majors did not match their interests. This mismatch often leads to unfulfilled potential, financial burdens, lack of motivation, increased stress, and career delays. The goal of MinatKu is to provide an accessible career guidance platform that helps students discover their interests and receive personalized recommendations for suitable college majors.
01 / Process
How the work unfolded
This project was developed as a capstone project for Bangkit 2023 Batch 2 by a team of 7 students: 3 in Machine Learning, 2 in Mobile Development, and 2 in Cloud Computing.
- Requirement Analysis & Research: Used a 5 Whys analysis to identify root causes, such as poor career guidance and lack of self-evaluation tools.
- Machine Learning: Built and optimized a neural network model to predict student interests, achieving improved accuracy through architecture refinement and deployed with Flask API.
- Mobile Development: Designed and implemented the mobile application in Android Studio (Kotlin) with a user-friendly UI.
- Cloud Computing: Built backend services using Node.js on Google Cloud Platform, integrated Cloud SQL (MySQL), Cloud Storage, and CI/CD via Cloud Build.
- Collaboration: The team worked cross-functionally across three learning paths, integrating ML, Cloud, and Mobile into one functional application.
The result was a functional application that allows students to take assessment tests, discover their interests, and receive personalized recommendations for college majors.
03 / Product proof
Key features
- Personalized career and major recommendations through machine learning.
- Mobile application with interactive UI for student assessments.
- Cloud-based backend with secure database and scalable architecture.
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