Manjunath V Poojari Profile

Manjunath V Poojari

🎓 Aspiring Software Engineer |
Data Science & AI/ML Enthusiast |

About Me

Passionate and driven Software Engineer with a strong foundation in data structures and algorithms, coupled with a keen interest in Data Science, Artificial Intelligence, and Machine Learning. Eager to contribute to innovative projects and continuously learn new technologies. Committed to clean code and problem-solving.

Skills

Java Python C JavaScript HTML CSS React Spring Node.js FastAPI Machine Learning Data Science TensorFlow Scikit-learn Pandas NumPy Gradio Power BI Streamlit NLP MySQL Big Data Communication Business Acumen Team Management Devops Prompt Engineering Git Version Control Cloud Computing

Education 📚

B.E. Computer Science & Engineering

Jawaharlal Nehru National College of Engineering (JNNCE)

Status: Currently Pursuing [2026]

CGPA: 9.3

Pre-University Course (PUC)

DVS Independent PU College (DVS), Shimoga

Completed: [2022]

Percentage: 95%

High School (10th Grade)

Swamy Vivekananda English High School

Completed: [2020]

Percentage: 98%

Connect & Achieve

Leadership & Achievements

Certificates

Hackathons

Internships

Projects

🗑️Smart Waste Management System🚮

Developed a machine learning-based system for waste classification. Utilized data cleaning techniques and compared XGBoost, Random Forest, and SVM algorithms to achieve optimal performance for smart waste management.

Machine LearningXGBoostRandom ForestSVMPythonData Cleaning
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🌊Bangalore Flood Detection Dashboard

A hackathon project focused on detecting flood risks in Bangalore. Incorporated machine learning models, Folium for interactive mapping, and Streamlit for dashboard visualization to provide insights into flood-prone areas.

Machine LearningFoliumStreamlitPythonData Visualization
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🖥️Enterprise Website Auditor

Developed a web-health analyzer to audit enterprise websites. This project helps in identifying and reporting various issues to ensure optimal website performance and user experience (Hackathon Project) .

Web DevelopmentHTMLCSSJavaScriptWeb Scraping
View Project 1 View Project 2

🎦YouTube Summary Generator

Built using Streamlit and Google API to extract and summarize YouTube video transcripts.Helped me learn about gemini api key insertion and LLM knowledge to understand generative ai concepts

StreamlitGoogle APINLPPython
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🩺DualVision AI - A unified Medical Image Segmentation System using MONAI

This project was developed as part of a Hackathon Challenge focused on medical image segmentation using deep learning.The objective was to preprocess, train, and deploy segmentation models for two medical imaging datasets — BRATS 2020 (Brain Tumor Segmentation) and DRIVE (Retinal Vessel Segmentation) — while demonstrating innovation and optimization under time constraints..

Colab & KaggleMONAIStreamlitGradioData VisualizeData ScienceMachine learningUNet++AttentionUNetDeepLabV3
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📁Internship Task works

My journey towards working on Internship tasks from Codsoft (Guessing game, Student grade Calculation, ATM flow, Currency Converter, Student Management System.) to the Elevate(AIML- worked on Titanic, Housing Price, Breast Cancer, Heart Disease, Customer Segmentationm and Mall Customers dataset from Kaggle) and further all encouraged me to be more productive to my work life along with academics

CodexCodsoftElevate(AIML)Elevate(web-development)

🎓Melanoma Cancer Detection Using Deep Learning and Image Processing

Melanoma Cancer Detection Mobile Solution (Deep Learning & MLOps). To develop a highly accurate, portable diagnostic aid capable of classifying skin lesions as benign or malignant (melanoma) directly from smartphone images, significantly improving the speed and accessibility of early detection. (Currently working on it).

Machine LearningDeep LearningConvolution Neural NetworkEfficientNetLiteAndroid AppImage Processing
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💸Loan Marga- tracking loan and building trust

LoanMarga! (SIH Project) This project is not a typical loan prediction system, but rather a robust Loan Utilization Tracking and Fraud Detection system building for the National level hackathon.. (Currently working on it).

Machine LearningDeep LearningConvolution Neural NetworkEfficientNetLiteAndroid AppImage Processing
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