Career Path Exploration Platform With Simulated Job Scenarios

Added Jun 2025 3 design docs

Students choose careers with remarkably little information: a major picked at eighteen and advice from a handful of adults, while school counselors often carry caseloads in the hundreds. Software that genuinely understands a student's interests, skills, and academic record can widen the options they see and make good guidance scalable. The intern builds a career exploration platform driven by agentic AI. Agents analyze a student's profile and academic history stored in MongoDB, generate personalized career paths with the reasoning explained, recommend courses that close specific skill gaps, and run simulated job scenarios that let students experience a day in a role before committing to it. A Node.js backend orchestrates the agent workflows, the React frontend provides interactive dashboards for students plus collaborative views where educators and mentors add human context, and Docker packages the platform for straightforward school deployments. Secure profiles protect minors' data by design, not as an afterthought. The project teaches multi-step agent design, responsible AI practice for young users, and the modular full-stack engineering behind a serious education and workforce development product.

Related projects

Student Records and Course Workflow Backend for Institutions

Schools and universities run on administrative workflows, including enrollment, course management, grading, and notifications, and most institutions still stitch these together from spreadsheets and email. A robust workflow backend that automates records and communications is genuinely transformative infrastructure, and building one demands professional-grade engineering. The intern builds that backend in Java with Spring Boot. The system manages student records, course catalogs, and enrollment through JPA-backed entities in PostgreSQL, with robust validation guarding every input. Automated notifications for events like enrollment confirmations and grade postings run through async processing so the API stays responsive. Security is production-styled: JWT authentication and role-based authorization separate what administrators, faculty, and students can do. The build is managed with Maven and deployed with Docker, and an optional React frontend provides admin and faculty dashboards over the API. The project teaches layered backend architecture, asynchronous job design, and security implementation to a standard that mirrors enterprise Java work. The intern completes it with a deployable system and the vocabulary to discuss real workflow automation in interviews.

educationdockerjava+4

View project

Hard

Cross-Platform Project Dashboard for Research Teams

Distributed research teams juggle literature, datasets, drafts, and deadlines across email threads and scattered drives, and progress becomes invisible the moment a collaborator is in another time zone. A dedicated workspace that combines project boards, shared resources, and discussion in one place keeps multi-site research moving. The intern builds that workspace as a full-stack product. A Node.js backend with PostgreSQL manages user accounts and roles, project and milestone records, uploaded documents, and threaded discussions, and pushes real-time updates so boards stay current for everyone. A React Native mobile app gives researchers the same boards, uploads, and conversations on the go, while the web dashboard supports richer visualization of milestone progress and team activity. Core flows include creating a project board, assigning tasks, attaching documents to milestones, and tracking completion across the team. The project demands careful relational data modeling, secure file storage, role-based authorization, and synchronized state across web and mobile clients. Completing it demonstrates genuine full-stack range: backend workflow management, mobile development, and the discipline of building collaboration software people rely on daily.

researchtechnologybackendmobile-development+3

View project

Medium

Personalized Learning Pathway Planner for Banking Students

Two people studying banking rarely need the same course: a new teller, a compliance trainee, and a fintech founder each need different topics in a different order. Static curricula cannot adapt to that, but a generator that assembles a personalized pathway from stated goals can. The intern builds the planner in python. Users select banking topics or describe their learning goals, and the system generates a structured pathway: an ordered sequence of topics, an explanation of each step, and quizzes to check understanding along the way. Langgraph manages the multi-stage flow from goal interpretation to pathway assembly to quiz creation, while an agentic-ai layer coordinates the stages and revisits weak sections, and generative AI through openai models writes the explanations and question sets. The output is a complete, structured learning plan with accompanying assessments, delivered as organized documents a learner or trainer can follow directly. The project teaches curriculum decomposition, AI-driven content generation with consistent structure, and workflow automation. The intern comes away with a substantial artifact demonstrating that they can direct language models to produce organized educational programs rather than isolated answers.

bankingeducationagentic-aigenerative-ai+3

View project