Manoj Patil

Experience

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  Kavayitri Bahinabai Chaudhari North Maharashtra University, Jalgaon

  Jun 2001 - Aug 2022

  Assistant Professor

  • Teaching Experience: Algorithms, C++, Digital Image Processing, C++, Java Programming.• Research Experience:-Using Machine Learning in Automatic Image Annotation for Content ManagementAutomatic image annotation simplifies tagging by utilizing image content comprehension, eliminating subjective human annotation and enhancing accuracy. The process involves segmentation, feature extraction (shape, color, texture), machine learning training (using methods like ANN, Rough Sets, Decision Trees, K-NN), and tagging unlabeled images. The system utilized standard datasets such as the Berkeley Segmentation Dataset, MPEG7 Shape Dataset, Corel Image Dataset, and Caltech 256 Dataset for object identification and tagging solutions implementation.• Software Development Experience -Design and development of software's for university stakeholders.Role: Project Manager, Solution Architect, Algorithm designerLead a dynamic team of software developers in the design, development, and successful deployment of over 25 web-based software applications aimed at streamlining university processes. Responsibilities encompass understanding problem definitions, designing architectural solutions, writing algorithms, overseeing development, deployment, and ongoing maintenance of the product with team collaboration. Show less

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  Kavayitri Bahinabai Chaudhari North Maharashtra University

  Aug 2022 - now

  Associate Professor

  • Teaching Experience: Algorithms, C++, Programming and Problem Solving, Go Programming.• Research Experience:-Design and development of effective disease identification system for banana plants of Jalgaon regionThe research aims to create an automated disease detection system for banana plants, using visual and climatic data to enhance accuracy. It incorporates diverse datasets, preprocessing techniques, and feature extraction methods, alongside machine learning and traditional classification algorithms. Additionally, a treatment recommendation model is devised, advancing automated disease detection in agriculture.-Rainfall prediction in north Maharashtra region using machine intelligenceThe research endeavors to predict rainfall in Maharashtra's northern region, crucial for agriculture, by analyzing hourly meteorological data of the region spanning 2009-2022. It employs machine learning algorithms like Logistic Regression, SVM, and ANN to forecast rainfall occurrence and intensity. The objectives include developing prediction models and establishing a meteorological data repository for North Maharashtra, with contributions in proposing prediction frameworks and understanding key meteorological parameters affecting rainfall.-Design and development of Automated Fashion Recommender System using Machine Learning techniquesThe Fashion Recommender System utilizes user attributes alongside real-time festival data, to deliver personalized fashion recommendations. It employs custom CNN to classify images based on festivals or seasons, extracting user-based attributes to identify fashion items. Machine learning techniques analyze color and texture features of images, generating tailored suggestions that enhance the shopping experience by aligning with individual tastes. Overall, the system offers personalized recommendations, leveraging user profiles and current trends to optimize fashion choices. Show less