Transforming Recruitment: Camsha's AI-Driven Approach to Seamless Talent Acquisition

Key Features

Intelligent Matching

Deploys sophisticated AI algorithms to ensure precise candidate-job matching, enhancing recruitment efficiency and success rates.

Automated Sourcing Tool

Integrates powerful sourcing to automate data collection from various sources, enriching candidate pools.

AI-Powered Virtual Interviews

Facilitates virtual interviews with animated AI avatar, providing a consistent and scalable approach to assess candidates effectively.

Recruitment process management

Follow the candidate through their application process from the moment they apply till the recruitment.

Assisted job offer creation

Generate job offers with our AI and refine them with a chatbot that helps you add details and improvements that scale your chances at finding your target talents.

Assisted evaluation

CamSha’s AI helps the recruiter in decision making about the application by evaluating interview results and assessing the candidate’s answers with scores.

Pain Points

Challenges During Implementation

Solutions

Tech Stack & Integrations

1. 1 Fronted

   • Vue.js:A progressive JavaScript framework used to build the user interface.
   • Quasar:A high-performance Vue.js framework for building responsive websites and mobile apps.
   • Tailwind CSS:A utility-first CSS framework for custom styling of the frontend.
   • WebSockets: Enables real-time updates and communication between the frontend and backend

2. 2Mobile App

   • Webview: Used to wrap the web-based frontend for mobile app experience.
   • Kotlin: The primary language for Android app development.
   • Bluetooth Manipulation:Functionality integrated for managing Bluetooth connections directly from the app.

3. 3Backend

   • Laravel:A PHP framework providing a robust backend with an expressive syntax.
   • FilamentPHP: A lightweight admin panel for Laravel, simplifying backend management.
   • FastAPI:A lightweight admin panel for Laravel, simplifying backend management.
   • Used for building the AI processing server and web scraper.
   • Handles AI-driven tasks, API processing, and data extraction efficiently.
   • RabbitMQ:Message broker facilitating asynchronous communication between Laravel and FastAPI services, enabling real-time-like experiences.
   • OpenAI API:Integrated for AI-powered processing and automation.

4. 4Database

   • MySQL: The primary relational database management system for structured data.
   • SQLite:A lightweight database used for local storage and caching.

5. 5Cloud Services / Infrastructure (Used for Local Deployment)

   • DigitalOcean:Cloud hosting provider for scalable application deployment.
   • Self-Hosted Scraper & AI Server:Built with FastAPI and deployed on self-managed infrastructure. Communicates with the Laravel app via RabbitMQ queues to provide near real-time responses.
   • Nginx:Used as a high-performance web server and reverse proxy.
   • Laravel Forge: A tool for provisioning and managing Laravel applications.
   • Docker: Containerization for deployment consistency across different environments
   • Grafana: Monitoring and analytics for system performance.
   • Prometheus: A time-series database used for monitoring infrastructure and services.

6. 6Integrations

   • Social Login: Allows users to authenticate via external platforms.
   • RabbitMQ: Handles messaging between Laravel and FastAPI, ensuring real-time data processing.
   • OpenAI API: Used for AI-driven features, including chatbots and automation.
   • LinkedIn Scraper (Self-Hosted, Self-Made): Custom-built tool for extracting LinkedIn data.
   • AssemblyAI: Provides speech-to-text capabilities.
   • ChatGPT: Integrated as a chatbot for conversational AI features.
   • api.pappers.fr: Used for retrieving company-related data.
   • Shlink: A URL shortener for managing short links.
   • heygen AI: Converts text into video using AI-powered automation.

Results