Skill Bridge: A Smart Platform for Hiring Verified Skilled Professionals

Abstract: India’s informal labour market continues to face a significant demand–supply disconnect, where millions of skilled workers struggle to find stable and consistent employment, while businesses encounter difficulties in identifying reliable and verified professionals. This imbalance not only affects individual livelihoods but also reduces overall efficiency in service delivery across sectors. Many workers lack visibility and access to oppor-tunities, whereas employers often depend on informal networks or middlemen, leading to issues such as lack of transparency, inconsistent pricing, and uncertain service quality.
To address these challenges, this paper proposes Skill Bridge, an innovative digital platform designed to effectively connect skilled workers with potential employers using modern web technologies, Artificial Intelligence (AI), and Machine Learn-ing (ML). The platform allows workers—such as electricians, plumbers, carpenters, cleaners, and other service providers—to register, create detailed profiles, showcase their skills, and receive personalized job recommendations based on their expertise, experience, and location. On the other hand, employers can post job requirements, filter candidates using multiple parameters such as skill set, ratings, and proximity, and select suitable workers with greater confidence.
A key feature of Skill Bridge is its hybrid machine learning-based job matching system, which combines content- based filter-ing and collaborative filtering techniques to improve recommen-dation accuracy. The platform further enhances decision-making by incorporating sentiment analysis on user reviews, enabling better evaluation of worker performance and customer satis-faction. Geolocation scoring is used to prioritize nearby oppor-tunities, thereby reducing travel time and improving efficiency. Additionally, optional face recognition technology is proposed for secure onboarding and identity verification, increasing trust and authenticity within the platform.
To ensure inclusivity and accessibility, especially for semi-literate or less tech-savvy users, the system provides a multilin-gual interface along with voice-assisted interaction. This enables users from diverse linguistic backgrounds to easily navigate and utilize the platform without barriers. From a technical perspec-tive, Skill Bridge is built using a microservices-based architecture deployed on cloud infrastructure, ensuring scalability, flexibility, and high availability to support a large and growing user base. Overall, Skill Bridge aims to minimize the dependency on intermediaries, enhance transparency in hiring processes, and create a more structured and efficient ecosystem for informal employment. By leveraging intelligent automation and user-centric design, the platform seeks to empower underserved workers, improve job accessibility, and contribute to the digital transformation of India’s informal labour sector.

Keywords: Informal labor market, job matching, skill-based hiring, artificial intelligence, machine learning, recom- mendation system, geolocation, multilingual interface, and trust scoring