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@article{172406,
        author = {Sakshi Manoj Pawar and Nikita Yadav and Sanika Pawar and Akanksha Gaykar and Pradnya Kothawade},
        title = {Chest Related Disease Prediction using Deep learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {3274-3276},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172406},
        abstract = {This This project presents the development of a web-based platform that utilizes Flask for managing user interactions and TensorFlow for machine learning model execution. By integrating TensorFlow models within a Flask framework, the system allows users to perform tasks such as predictions or classifications through a simple web interface. The backend handles routing, input processing, and model predictions, while utility functions ensure smooth data processing and model loading. The project aims to combine the capabilities of machine learning and web development to offer an efficient and scalable solution. Key technologies such as Flask, TensorFlow, NumPy, and h5py are used to build a flexible system that can be adapted for various practical applications, such as image recognition, data analysis, or prediction tasks. The system's modular design makes it easy to update, scale, or integrate with additional features in the future.},
        keywords = {Image Processing, Convolutional Neural Networks Algorithm, Languages and Compilers, Classification, Verification.},
        month = {January},
        }