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@article{168929,
        author = {Shruti Banchhod and Prof. Vanita Gadekar and Om Suryawanshi and Akhouri Ayush Kumar Sinha and Asmit Upganlawar},
        title = {STARTUP PROFIT PREDICTION USING INFORMATIONAL RESOURCES},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {2433-2437},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168929},
        abstract = {The Startup Profit Prediction System is designed to predict the profitability of a startup based on key financial inputs such as R&D expenses, administration expenses, and marketing expenses. Leveraging machine learning algorithms, the system analyzes historical data to provide a forecast of potential profits, assisting entrepreneurs and investors in making informed decisions. The project integrates a user-friendly web interface with a robust backend powered by a trained machine learning model, offering seamless prediction capabilities. Additionally, the platform includes resources on startup growth and relevant government schemes, making it a comprehensive tool for both financial forecasting and startup development support. The system is scalable, secure, and optimized for performance, aiming to provide valuable insights for the startup ecosystem.},
        keywords = {Startup profit prediction, machine learning, financial forecasting, R&D expenses, administration expenses, marketing expenses, web application, data analysis, government schemes, entrepreneurship},
        month = {November},
        }