Browsing by Author "Dange, Anas"

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    Disease prediction using machine learning and image processing
    (AIKTC, 2023-05) Dange, Anas; Haddadi, Amir (19CO19); Khan, Shahrukh (19CO51); Husen, Mohd Altaf (19CO41); Qureshi, Mohd Zaki (19CO40)
    Current machine learning models for healthcare analysis focus on one disease per analysis, such as diabetes, liver, malaria, pneumonia diseases. Our project aims to predict multiple diseases using machine learning algorithms, streamlit, Flask API, and Python pickling to save and load the model's behavior. By analyzing all parameters that cause diseases, our system can detect the maximum effects a disease will cause. A study using a large medical image dataset trained a deep learning model to predict diseases using transfer learning techniques. The proposed approach achieved high accuracy, outperforming other traditional methods, and has potential applications in clinical settings to reduce human error, improve diagnostic accuracy, and reduce the time required for diagnosis. This project can help people by monitoring their condition and taking necessary precautions to increase life expectancy. Overall, this study demonstrates the effectiveness of using machine learning and image processing for disease prediction and provides valuable insights into future research in this area.
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    Product recommendation system using ML
    (AIKTC, 2023-05) Dange, Anas; Baig, Sahil (19CO49); Sirkazi, Ruzbihan (19CO48); Mohd., Aasif (19CO36); Ulde, Kais (19CO46)
    Product Recommendation System Using ML In today’s modern epoch of information technology, the idea of efficiently finding one’s favourite product in a large dataset of application database, becomes an essential issue to address for the online content providers in order to attract the masses as opposed to their competitors. Recommender systems or recommendation systems, as they are popularly known, are information filtering systems which are usually integrated with several consumer and com- mercial applications. Such systems act as a bridge between various content facilitators such as social media websites, e-commerce portals, streaming platforms, etc. and the users of these applications, by suggesting them items from the application database which conform to the user preferences and past activities. Such personalized systems play a vital role, especially when the user is unclear of the item to the searched for. These systems are infiltrating every aspect of our lives, in the form of ?Because you watched? header on Netflix, ?People you may know? section on Facebook, ?Customers who bought this also bought’ partition on Amazon.
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    Voice bot for mall
    (AIKTC, 2023-05) Dange, Anas; Gupta, Shailesh (18CO23); Khan, Mohd Zeeshan (18CO33); Khan, Mohd Usman (19CO29); Mohd Yusuf, Ashfaque (19CO39)
    A voice bot for a mall project can be a great addition to enhance the user experience and provide convenience to visitors. The voice bot can be designed to understand the user’s needs and assist them with finding locations within the mall. Our voice bot is designed to make your visit to our mall as seamless as possible. Whether you’re looking for a specific store, restaurant, or other service, our voice bot is here to help. Simply tell us what you’re looking for, and we’ll provide you with the location and directions to the particular shop to get there. With our voice bot, you’ll no longer have to navigate through confusing maps or ask for directions. Our voice bot is your personal guide to everything our mall has to offer. Our mall features is a wide variety of stores, restaurants, and entertainment options to suit your needs. Whether you are looking for the latest fashion trends, a delicious meal, or some family fun, we have something for everyone.