Week #2 #

Project name: InnoSync #

Code repository: https://github.com/IU-Capstone-Project-2025/InnoSync

Team Members #

Detailed Requirements Elaboration #

MVP Detailed User Stories & Acceptance Criteria #

1. Unified User Registration & Profile #

User Stories:

• As a new user, I want to register once with a complete profile so I can later choose my mode (Talent/Recruiter).
• As a returning user, I want to switch between Talent and Recruiter dashboards based on my current needs.

Acceptance Criteria:

• Single registration form collects:
  • Core profile info (name, email, bio)
  • Skills (tag-based input)
  • Expertise level (Entry/Junior/Mid/Senior)
  • Experience level (Less than a year/ 1 to 2 years/ 2 to 4 years/ more than 4 years)
  • Resume upload (optional)
  • Education
  • Work Experience (optional)
• Post-login dashboard selector appears with:
  • “Talent Mode” (for seeking projects, managing proposals)
  • “Recruiter Mode” (for managing/creating projects)
• Users can switch modes via an option in the navbar

2. Talent Mode Features #

User Stories:

• As a Talent, I want to browse projects matching my skills so I can apply.
• As a Talent, I want to manage applications and invitations in one place.

Acceptance Criteria:

• Talent dashboard shows:
  • Project recommendations (based on profile)
  • Application status tracker
  • Invitation inbox
• Search filters for projects:
  • Required skills
  • Project type (paid/academic)
  • Time commitment

3. Recruiter Mode Features #

User Stories:

• As a Recruiter, I want to create projects and define needs so I can build teams.
• As a Recruiter, I want to discover talents and manage invitations.
• As a Recruiter, I want to can collaborate with my team memebers in one place.

Acceptance Criteria:

• Recruiter dashboard includes:
  • Project creation wizard
  • Talent discovery panel
  • Team management section
  • Group chat for each project with all the team memebers
• Project creation allows:
  • Role definitions (with required skills)
  • Team size settings
  • Project timeline

4. QuickSyncing (Recruiter Auto-Matching) #

User Story:

• As a Recruiter, I want the system to automatically suggest suitable candidates for my project so I can quickly build my team.

Acceptance Criteria:

• Only available in Recruiter mode
• Generates candidate suggestions based on:
  • Skills matching project requirements
  • Alignment with required roles
  • Compatible expertise levels
• “Reroll” button provides new suggestions while maintaining:
  • Current project criteria
  • Applied filters

Key Changes from Previous Version #

1. Single Profile Creation: Eliminates role selection during signup
2. Mode Switching: Users aren’t locked into one role
3. Shared Core Data: Skills/experience used for both modes
4. Dual Dashboard UI: Consistent navigation between modes

Prioritized Backlog #

Asana Board: [View Backlog]

Project Specific Progress #

Frontend #

• Initialized Next.js project with TypeScript configuration
• Implemented skeleton components based on initial designs
• Implemented the navbar and landing page design in the react

Backend #

• Made the Database conception
• Made a swagger documentations for the endpoints
• Impelemneted User Authentication APIs (Logout/Login/SignUp APIs)
• Impelemented API to create/update talent profile
• Impelemented the security layer:Protecting endpoints with JWT Validation Filter

Machine Learning #

• Created mock job/candidate data.
• Wrote simple model using TF/IDF and cosine similarity for team recommendation.
• ReadMe for the ML work [View Commit]

DevOps #

• Defined Infrastructure plan
• Research Project DevOps Requirments

Management: #

• Defined MVP goals and scope [View Docs Link]
• Fed the backlog and orginized it using a PM tool (we used Asana board) [View board]
• Distributed Tasks between roles, and then distributed them between team memebers.

Product Design #

• Researched similar products designs, refined the user stories and added acceptance criteria for each, refined the mvp goals.
• Created low-fidelity and wireframe mockups [View Figma File]
• Created user flow diagrams for key interactions [View Figma File]
• Started the high-fidelity designing for the web application [View Figma File]

CustDev #

• Researched and formulated user pain points [View Docs Link]

Weekly Commitments #

Individual Contribution of Each Participant #

• Ahmed Baha Eddine Alimi:

  • Revised and enhanced user stories, added acceptance criteria and refined the mvp goals [Present in the report]
  • Coordinated sprint planning, and tasks distribution
  • Reviewed and merged PRs for the frontend team [View Commit]
  • Created Low-Fi, High-Fi and User flow diagrams in Figma.
    • View Low-Fi Figma File
    • View UFD Figma File
    • View High-Fi Figma File
  • Wrote the report

• Yusuf Abudghafforzoda:

  • Implemented Backend authentication APIs [View Commit]
  • Database coneception and schema
    • View DB description
    • View DB Schema
  • Made the swagger documentations for the endpoints
  • Impelemented the security layer in the backend authentication [View Commit]

• Egor Lazutkin:

  • Impelemented API to create/update recruitee profile [View Commit]
  • Researched and formulated user pain points [View Docs Link]

• Anvar Gilmiev:

  • Set up routing for the project [View Commit]
  • Implemented the profile creation page [View Commit]

• Asgat Keruly:

  • Implemented skeleton components based on initial designs [View Commit]
  • Impelemented the early version of the navbar and landing page View Commit

• Aibek Bakirov:

  • Defined Infrastructure plan [View Docs Link]
  • Researched Project DevOps Requirments

• Gurbanberdi Gulladyyev:

  • Created mock job/candidate data. [View Commit]
  • Wrote simple model using TF/IDF and cosine similarity for team recommendation. [View Commit]

Plan for Next Week #

1. Frontend:

   • Finish the implementation of the page designs
   • Implement basic button functionionalites and basic features
   • Connect to backend APIs

2. Backend:

   • Develop project creation endpoint
   • Implement API for recruiters to send invitations to talents
   • Implement API for talents to apply to projects

3. Machine Learning:

   • Finalize dataset collection
   • Train preliminary recommendation model
   • plan intergration witrh backend

4. DevOps:

   • Configure GitHub Actions
   • Set up basic CI pipeline
   • Research deployment strategies
   • Create docker-compose.yml to run full stack locally

5. Product Design:

   • Finish High-Fi design
   • Meet with the CustDev to discuss costumer needs
   • Adapt design to costumer needs

6. CustDev:

   • Prepare for UX testing
   • Generating and prioritizing hypotheses
   • Building a customer journey map

Confirmation of the Code’s Operability #

We confirm that the code in the main branch:

• [✔] In working condition (local development)
• [✔] Run via docker-compose (in progress)