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TeamSync is a smart university team-matching platform that helps students quickly and effectively find teammates for academic projects. It streamlines the team formation process through AI-based matchmaking, smart user and project profiles.

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IU-Capstone-Project-2025/team-sync

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Overview

TeamSync aims to improve the quality and balance of student teams by offering a data-driven, user-friendly experience for discovering, evaluating, and matching with potential teammates.

This project helps people find teams by interests.

TeamSync is a collaborative platform where students can create projects, apply to join other teams, add interesting projects to their favorites, and edit their profiles. The recommendation system uses your profile and activity to suggest the most relevant projects. You can review applications, select who joins your team, and build effective teams based on interests and skills.

Access

The table below lists the default ports and example endpoints for each service in the platform. You can use these URLs to access the web interface, API documentation, or Swagger UI for each component in both production and development environments.

Service Swagger or url
frontend https://team-sync.online or https://dev.team-sync.online
backend-projects https://api.team-sync.online/projects/api/v1/swagger-ui/index.html or https://api.dev.team-sync.online/projects/api/v1/swagger-ui/index.html
backend-resume https://api.team-sync.online/resume/api/v1/swagger-ui/index.html or https://api.dev.team-sync.online/resume/api/v1/swagger-ui/index.html
backend-auth https://api.team-sync.online/auth/api/v1/swagger-ui/index.html or https://api.dev.team-sync.online/auth/api/v1/swagger-ui/index.html
ml-recsys https://api.team-sync.online/recsys/api/v1/docs or https://api.dev.team-sync.online/recsys/api/v1/docs
ml-embedder https://api.team-sync.online/embedder/api/v1/docs or https://api.dev.team-sync.online/embedder/api/v1/docs

Tech Stack


Choice Justification
Frontend React For building dynamic and high-performance user interfaces and server-side rendering capabilities.
TypeScript A strongly typed programming language that builds on JavaScript, providing better tooling at any scale.
Tailwind CSS A utility-first CSS framework for rapid UI development with consistent and responsive design.
Backend Java/Spring Boot Robust REST APIs, team expertise
Database PostgreSQL ACID compliance for user/project data
KeyDB (uses redis client) Fast session/matching-cache access
Qdrant Embeddings storage for ml service calculations
ML Python For its simplicity and extensive libraries for data processing and machine learning.
Infra Docker + Docker Compose Environment consistency, TA reproducibility
GitHub Actions (CI/CD) Automated testing/deployment

Project Structure


team-sync/
├── back/               # Backend microservices (auth, projects, recommendation, resume)
├── front/              # Frontend (React app)
├── ml/                 # Machine learning services (embedder, recsys, search)
├── migration/          # Database migration scripts (Liquibase)
├── docs/               # Docs (images, gifs, md)
├── docker-compose.yml  # Docker Compose configs
├── README.md           # Project documentation
└── ...                 # Other configuration and documentation files

Team


Team member Telegram alias Innopolis Email Responcibilities
Diana Minnakhmetova (Lead) @diana_minn d.minnakhmetova@innopolis.university Product management, design, Report writing
Danis Sharafiev @HarneMer d.sharafiev@innopolis.university ML + MLOps
Daria Alexandrova @ae_quor d.alexandrova@innopolis.university Frontend
Stepan Dementev @dementevssstepan s.dementev@innopolis.university Backend + DevOps
Elizaveta Zagurskih @wkwthigo e.zagurskih@innopolis.university Backend
Kamilya Shakirova @hugecatwithacheburek k.shakirova@innopolis.university ML

Deployment

Production: https://team-sync.online
Development: https://dev.team-sync.online

Third-party Models

This project uses the all-MiniLM-L6-v2 model from UKPLab:

About

TeamSync is a smart university team-matching platform that helps students quickly and effectively find teammates for academic projects. It streamlines the team formation process through AI-based matchmaking, smart user and project profiles.

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