Week 1 #

Project description #

Project name: TeamSync

Code repository: link

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.

Team #

Brainstorming #

Ideas during brainstorming #

Problem validation #

1. Smart University Team-Matching Platform

Problem: Students spend 5–10 hours forming teams manually, often leading to mismatches and delays.

Validation:

• Most use unstructured Telegram chats, spreadsheets. One of the more or less same sevice is already not working ( Pet-Plat)
• Professors report frequent issues with unbalanced teams.

2. Dynamic Resource Allocation SaaS

Problem: Cloud services often over- or under-use resources due to static allocation.

Validation:

• Time-series-based autoscaling is complex and costly to configure manually.
• Existing tools like Cast.ai are powerful but too advanced for small teams.

3. AI-Powered Habit Tracking App

Problem: Current habit trackers lack personalization, causing low long-term engagement.

Validation:

• Popular apps use generic reminders, not behavior-based adaptation.
• Users want smarter, context-aware support.

Basic Requirements #

Problem Statement #

Students of Innopolis University currently face the inefficiencies and time-consuming manual efforts when forming teams for academic projects, particularly during Capstone and elective-based collaborations. This results in suboptimal groups and delayed project starts.

Solution #

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.

Target Users #

Primary Customers: Innopolis University or other organizations.

Primary Users: Students of Innopolis University.

Secondary Users: Professors.

User Stories #

1. As a student, I want to create a personal profile with my skills, interests, and past projects so that I can be discovered by project creators or teammates.
2. As a student, I want to post a new project with a description and required skills, so that I can find teammates who match my needs.
3. As a student, I want to receive AI-generated teammate recommendations based on my skills and preferences, so that I can build a balanced and effective team faster.
4. As a student, I want to apply to projects that match my interests, so that I can participate in projects relevant to my skills and goals.
5. As a project owner, I want to accept or reject team applications and manage my team members, so that I can control who joins my project and maintain a good team structure.
6. As a student, I want to see suggestions and filters when browsing projects (similarity), so that I can efficiently choose which projects to join.
7. As a professor, I want to make a page only for my course, so that I can manage the team formation between my students.

Main Functionalities #

Smart Profiles #

A system that allows students to create detailed profiles with skills, interests, availability, and academic background.

• Students can input relevant information including tech stack, preferred project types, and availability.
• Students can make tags for better search and matching.
• The system supports real-time updates as students gain experience or complete courses.

Project Hub #

A centralized interface to browse, create, and manage project listings.

• Students can post project ideas with descriptions, required roles, and deadlines.
• Other users can browse available projects, filter by tags or requirements, and submit join requests.
• Each project shows team composition, required skills, and current progress status.

AI Matchmaking #

An intelligent recommendation engine for finding optimal team compositions.

• Recommends teammates or projects.
• Search engine.

Team Management Tools #

Features to organize and manage project teams effectively.

• Project owners can accept/reject applications and manage current team members.
• Team dashboards display role distribution, availability conflicts, and overall skill coverage.
• Notification system for team activity and status updates.

Analytics for Instructors #

A dashboard for faculty to monitor team formation patterns.

• Includes ungrouped students, skill demand gaps, and team distributions.
• Helps professors support team-building proactively.

Search & Tagging System #

Enhanced discoverability through structured filtering and semantic tagging.

• Projects and profiles are enriched with tags based on content.
• Students can search based on interests, tools, tech stacks, or availability windows.
• Search results are ranked by relevance and user preferences.

User Feedback & Improvement Loop #

• Users can rate or flag recommendations to improve accuracy.
• Users can share feedback to the telegram of this project (will be created soon)

System Architecture #

Link to the Figma Board with system architecture:

https://www.figma.com/board/se6mmoDbUnNADLcPqSszQE/Untitled?node-id=0-1&t=GFqAGJxXii04Q0gK-1

Initial Scope (MVP) #

Tech Stack #

Individual commitments #

Links #

• Jira (for Backlog)
• Figma Board (mind map and architecture)
• GitHub
• Notion Organization page
• Figma Design

Confirmation of the code’s operability #

We confirm that the code in the main branch:

• In working condition.
• Run via docker-compose (or another alternative described in the README.md).