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@article{176848,
        author = {Vanita Gadekar and Shruti Banchhod and Asmit Upganlawar and Om suryawanshi and Ayush Sinha},
        title = {STARTUP PROFIT PREDICTION USING INFORMATIONAL RESOURCES},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {7608-7615},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176848},
        abstract = {Machine learning techniques are used for discovering the hidden patterns from the application- centric data analysis. Using these techniques various applications can be developed which can be used for supporting different business sectors. These patterns will be used by business administrators and managers to develop sustainable, growing, and withstand the global business challenges. In this context, the employment of machine learning techniques in business data analysis can become a fruitful tool that can assist and help to new start- ups businesses and entrepreneurs, to sustain and grow with time. Therefore, in this paper, we are conducting a review on existing machine learning techniques that are recently contributed to understand the need of start-ups, trends of business and can provide recommendations to plan their future strategies to deal with the business problems. Secondly, based on the observations we have proposed our future road map to design and develop an intellectual framework to support Start-up India-based entrepreneurs.},
        keywords = {Machine learning, recommendation system, business data analytics, algorithm design, support system, handholding of startups.},
        month = {April},
        }