Praveen B S
Assistant Professor
Department of BCA in Artificial Intelligence
Name
Praveen B S
Educational Qualifications
B.Sc., M.Sc. (Computer Science)
Work Experience
7 months Academic + 3 months industry
Specialization
Machine Learning, AI, Computer Vision & NLP, Data Analysis
Professional Summary
Dedicated Assistant Professor in the Department of BCA (Artificial Intelligence) with expertise in Python, Machine Learning, and Data Science. Currently teaching core Computer Science and AI courses to undergraduate students at SBRR Mahajana First Grade College, Mysuru. Specialized in guiding students through practical implementations of Machine Learning algorithms, Computer Vision projects using YOLO, and NLP-based applications. Experienced in developing AI-powered systems including healthcare chatbots and predictive models. Passionate about fostering practical-based learning and encouraging student participation in AI-focused research. Holds M.Sc. in Computer Science from University of Mysore with strong foundations in statistical analysis, feature engineering, and data visualization using Power BI.
Professional Certifications
| Certification | Description |
|---|---|
| Analyzing and Visualizing Data with Microsoft Power BI | Microsoft Power BI Certification |
| Python for Data Science | Python Programming for Data Science |
| Artificial Intelligence Fundamentals | AI Fundamentals Certification |
Academic & Professional Contributions
| Sl. No. | Project Title | Technologies Used | Date | Description | Link |
|---|---|---|---|---|---|
| 1 | Coconut Maturity Detection and Paddy Variety Classification Using ML Approaches | Python, Classical Machine Learning, YOLO, Feature Extraction Methods (LBP, GLCM), SVM, KNN, RF, Feature Scale | August 2024 | Developed and deployed a computer vision-based system for coconut maturity detection using YOLO. Built a paddy variety classification model using classical machine learning techniques with feature extraction and scaling methods. Achieved 95% accuracy, empowering farmers with data-driven insights to enhance crop quality assessment. | Live Site |
| 2 | CURA – AI-Powered Health Care Chatbot using NLP | HTML, CSS, JavaScript, Python, NLP, TF-IDF, Cosine Similarity | February 2025 | Developed an AI-powered healthcare chatbot to provide medical advice and medication recommendations based on user queries. Built the front-end using HTML, CSS, and JavaScript for an interactive user experience. Implemented Natural Language Processing techniques with TF-IDF vectorization and cosine similarity for accurate query matching. Integrated the chatbot with a predefined dataset to suggest relevant diseases, medical advice, and recommended medications. | Live Site |
| 3 | Bangalore House Price Prediction Using ML Approaches | HTML, CSS, Python, NumPy, Pandas, Machine Learning | March 2025 | Developed an AI-powered Bangalore House Price Prediction system. Built the front-end using HTML and CSS for an interactive user experience. Implemented using CSV dataset by cleaning and analyzing data. Integrated with a predefined dataset to create prediction system based on data analysis. | Live Site |
| Sl. No. | Institution | Degree/Program | Specialization | Duration |
|---|---|---|---|---|
| 1 | University of Mysore | Master of Science (M.Sc.) | Computer Science | December 2022 – August 2024 |
| 2 | Yuvaraja’s College, Mysuru | Bachelor of Science (B.Sc.) | Physics, Mathematics, Computer Science | June 2019 – September 2022 |
| Sl. No. | Skill Category | Skills |
|---|---|---|
| 1 | Data Analysis | Regression Models, Data Analysis, Statistical Data Analysis |
| 2 | Programming & Development | Python Development, Power BI, R Language |
| 3 | Artificial Intelligence | Machine Learning, Computer Vision, NLP, YOLO Object Detection |
| 4 | Visualization | Data Visualization, Microsoft Power BI, Statistical Reporting |
| 5 | Other Technologies | DevOps, Android App Development, Feature Extraction, Real-time Systems |