We are a team of IT students documenting our journey of building Smart Intern—an innovative platform designed to bridge the gap between students and industries through transparent reviews and seamless recruitment.
Take a scroll through how we collaborated as a team, conducted user research, solved root problems, and brought our app idea to life.
We are a team of IT students who turned brainstorming, designing, and building into something we are proud of.
The primary goal of this project is to develop and implement a centralized internship management platform that streamlines the end-to-end application and placement process, eliminating current inefficiencies and fostering seamless collaboration among students, HR companies, and academic coordinators.
Consolidate scattered data into a single portal to easily search, identify, and apply for verified, relevant internship opportunities that align with their field of study.
Optimize the recruitment pipeline by reducing manual screening time, filtering out irrelevant applications, and speeding up the hiring process significantly.[cite: 1]
Streamline student-company matching and provide robust, transparent tools to monitor student placement status and ongoing academic progress in real time.[cite: 1]
Centralize all internship information, communications, and tracking logs into one secure, accessible ecosystem for everyone.[cite: 1]
Drastically accelerate the average turnaround time required for applications submission, screening, and final system placements.[cite: 1]
Provide end-to-end real-time visibility into current application status updates and ongoing monitoring modules for all key players.[cite: 1]
Here is a look at all the work that helped shape our app from early sketches and planning tools.
Take a look at the live interfaces designed for our core users. View the seamless auto-sliding mockup to explore the Student, HR, and Coordinator dashboards built for the Smart Intern ecosystem.
Empowers students to seamlessly monitor their active placement status in real-time. Features an interactive pipeline tracing progress from application submission through pending updates, interview stages, to the final official decision.
Optimizes corporate hiring via intelligent AI-powered filtering systems. HR managers can view candidates' automated skill stacking matching percentage against core company requirements, access historical data grids, and analyze university background readiness.
Provides robust administrative supervision for academic faculty. Equipped with advanced AI Risk Prediction modules that actively flag high-risk students during their cycle, display active risk distribution metrics, and consolidate structural progress lists.
Here is what we think about the project, from our experience working together to how everything turned out in the end.[cite: 1]
Faizal
Zaitun
Rifaie
Syahmi
Faizal
Zaitun
Rifaie
Syahmi
