🚀 TalentMesh

Next-Generation Interview as a Service Platform

Explore Our Wiki, API Docs, and Project Management Tools!

Tech Stack

🔥 Meet Team - Earendel

Rakibul Hasan

Nafiul Hasan Hamim

MFR Siam

Mahmudul Hasan

---

🤖 About TalentMesh

Welcome to the TalentMesh GitHub Repo! TalentMesh is a next-generation Interview as a Service (IaaS) platform designed to streamline technical hiring. Our platform helps companies conduct standardized, scalable, and efficient interviews by providing a seamless experience for both interviewers and candidates. 🔥 Why TalentMesh? Traditional hiring processes come with several challenges: ✅ Fragmented evaluations – Assessments often lack standardization, leading to inconsistent results. ✅ Scheduling delays – Coordinating interviews can be time-consuming and inefficient. ✅ Interviewer burnout – Companies struggle with interviewer availability and bandwidth. ✅ Candidate drop-offs – Lengthy hiring cycles increase the risk of losing top talent. TalentMesh solves these problems by offering an on-demand interview outsourcing platform, ensuring: 🔹 Faster interview scheduling 🔹 High-quality and standardized evaluations 🔹 A pay-per-interview pricing model 🔹 Real-time assessments with a collaborative coding environment 🔹 Reports and detailed feedback are generated instantly. 🌍 Market Opportunity The global recruitment outsourcing market was valued at $7.33 billion in 2022 and is projected to grow at 16.1% CAGR from 2023 to 2030. Companies are shifting towards outsourced interview solutions to cut costs and improve hiring efficiency. 💡 Key Benefits Reduced time-to-hire – Faster scheduling and instant reports eliminate hiring delays. Cost-effective – Pay-per-interview model ensures budget control for businesses. Access to top interviewers – A network of industry experts conducts interviews. Comprehensive reporting - Companies receive detailed insights to evaluate candidates effectively.

🏗 System Architecture

📌 User Flow Diagram

📌 ER Diagram

📊 Dashboards

We used various monitoring and visualization tools to track our system health and metrics:

Grafana – Real-time application monitoring

http://173.249.54.173:3000/login

Prometheus – Monitoring system & time series database

http://173.249.54.173:9090/

Aspire – API and service management

RabbitMQ – Queue management and message broker

http://173.249.54.173/rabbitmq/

Hangfire – Background Job Processing

http://173.249.54.173/jobs

---

🔀 Git Workflow Strategy

We follow GitFlow branching strategy to maintain code quality and streamline development.

---

📜 API Documentation

We provide a fully interactive Swagger UI for API testing and documentation.

---

🖥️ Talent Mesh Frontend

While this repository only hosts our backend services. But for convenience, we have included all the dashboard link here to provide a quick glimpse of all dashboards:

Portal	Features	Quick Access
👨‍💼 Interviewer Portal	AI-assisted interviews & scheduling	🔗 Launch
👨‍💻 Candidate Portal	Interactive assessments & tracking	🔗 Launch
👑 Admin Portal	System control & analytics	🔗 Launch
🏢 HR Portal	Recruitment & talent pipeline	🔗 Launch

---

🛠 Technical Architecture

Core Architecture:
  - Pattern: Modular Monolithic
  - Design: Clean Architecture, Multi-tenancy
  - Principles: SOLID

Modules:
  Identity:
    - Identity & Access Control
    - Profile Management
  Jobs:
    - Job Management
    - Candidate Application
  Interviewer:
    - Zoom SDK
    - Codeing Playground (Code Compiler)

Technology Stack:
  Framework: ASP.NET Core 8.0
  Database: PostgreSQL 15
  Caching: Redis
  Real-time: SignalR
  Analytics: Grafana, Prometheus, Hangfire, Aspire Dashboard

Development Practices:
  - Domain-Driven Design
  - CQRS Pattern
  - Event-Driven Architecture