Presented in HackFest 2024 / TEAM BINARY BOSSES ©
Problem Statement :
In today's dynamic job market, individuals and employers face challenges in aligning skills with opportunities. Existing platforms often lack the depth to accurately assess candidates' true potential or match them with suitable roles. Job seekers struggle to find positions that utilize their full skill set, while employers encounter difficulty identifying the best-fit candidates. This gap leads to inefficiencies in hiring and career advancement. There is a critical need for a comprehensive solution that utilizes advanced algorithms and personalized assessments to bridge this gap, empowering both job seekers and employers to make informed decisions and achieve successful outcomes in their respective endeavors.
Team Members (Team Binary Bosses) :
Aniket Banerjee (Leader)
Ankit Gandhi
Purujit Ghosh
Anish Das
Md Nazmus Sadat
Objective
The objective of the above solution is to revolutionize the recruitment process by leveraging advanced technologies such as machine learning and natural language processing to provide personalized job recommendations and accurately assess the true potential of each candidate. By analyzing candidate data, including resumes, skills assessments, and performance evaluations, the solution aims to match candidates with suitable job openings based on their skills, experiences, and preferences. Additionally, it seeks to create comprehensive profiles for each candidate to facilitate better decision-making by recruiters and hiring managers. Through the implementation of ethical considerations and integration with existing HR systems, the solution aims to streamline the recruitment process, improve candidate satisfaction, and ultimately contribute to organizational success by ensuring the right talent is matched with the right opportunities.
Our Solution SkillSailer-
A website that serves as a comprehensive platform for job seekers and recruiters, facilitating streamlined recruitment processes. It features personalized job recommendations, detailed candidate profiles, and robust skills assessment tools powered by AI and machine learning. With a user-friendly interface and emphasis on data privacy, the website optimizes the recruitment experience for both the parties.
Approach
- Data Collection and Preparation: To gather relevant data sources including resumes, job descriptions, skill assessments, and performance evaluations.
- Skills Assessment and Profiling: To develop a standardized skills assessment test or utilize existing assessment tools to evaluate candidates' proficiency in various skills.
- Machine Learning Model Development: Train machine learning models using labeled data to predict the suitability of candidates for different job roles.
- Recommendation Engine Implementation: To develop a recommendation engine that matches candidates with suitable job openings based on their profiles and the requirements of the job roles.
- Performance Monitoring and Feedback Loop: Implement tools and dashboards to monitor the performance of candidates after they are hired.
Technologies Used
React Js
Natural Language Processing
Firebase
FastAPI