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@article{169291,
        author = {Atharva Kishor Matale and Arnav Pundlik Panchal and Yash Jagannath Walde and Vijay Dattatray Jaiwal and Priyanka.S.Patil},
        title = {AIML - Enhanced DevConnect: Intelligence Suggestion For Developer Ecosystem Optimization},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {615-622},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169291},
        abstract = {The DevConnect is an innovative web-based solution designed to enhance teamwork and collaboration among software developers by leveraging artificial intelligence (AI) and machine learning (ML). The platform serves as a centralized hub where developers can create detailed profiles, showcase their skills, and engage in collaborative projects. By utilizing AI-driven analysis, the platform assesses project difficulty levels and matches developers with suitable collaborators based on their skills and geographic proximity. The motivation behind this project stems from the growing need for efficient collaboration tools that can connect developers across different locations and streamline project management. Existing platforms lack advanced features that integrate AI and ML to facilitate seamless team formation and communication, leading to inefficiencies in project execution. This platform aims to address these gaps by offering a comprehensive suite of tools for secure authentication, real-time communication, and AI-powered project management. The project scope includes the development of a user-friendly interface using React.js, backed by a robust server-side architecture built on Node.js and Express.js, with MongoDB for data storage.},
        keywords = {Collaborative Software development, Team Recommendation, Machine Learning},
        month = {November},
        }