Omkar More

AI/ML Engineering Student · Machine Learning & Computer Vision

Mumbai Suburban, Maharashtra, India

@omkar_more

0 followers

🎓 B.Tech CSE – Artificial Intelligence & Machine Learning at Vishwakarma University · Graduating 2027

About

AI/ML engineering student with hands-on experience in machine learning, deep learning, computer vision, and multi-agent systems. Has built AI solutions for fraud detection, intrusion detection, healthcare, agriculture, and environmental analysis.

Experience

Web Development Intern

Sainath PG · Pune

Jul 2025 – Aug 2025

Worked on web development tasks under the guidance of the development team. Contributed to website development and maintenance activities. Gained hands-on experience in real-world software development workflows and industry practices. Collaborated with team members to understand project requirements and implementation strategies.

Education

2027

B.Tech

Vishwakarma University

CSE (Artificial Intelligence & Machine Learning) · 2027

CSE (Artificial Intelligence & Machine Learning)

Skills

<3 months

C OCR LLMs ONNX NumPy React Flask Python Pandas OpenCV PyTorch JavaScript Data Science scikit-learn React Native Deep Learning Computer Vision Machine Learning Object Detection Image Segmentation Agentic AI Systems Recurrent Neural Networks Natural Language Processing Convolutional Neural Networks Generative AI (ChatGPT, Copilot, Gemini)

Tools / apps / platforms

<3 months

Git Linux MySQL Docker GitHub Render Vercel MongoDB Raspberry Pi TensorFlow Lite

Projects

Air Quality Analysis & Prediction

EDA, Regression, Statistical Testing

Performed exploratory data analysis on air quality datasets, applied regression techniques and outlier detection, and developed predictive models for forecasting air pollution levels.
Crop Yield Prediction & Disease Detection System

CNN, Computer Vision, Deep Learning

Developed an AI-powered agricultural intelligence system for crop yield prediction and disease detection. Applied computer vision and deep learning techniques to assist farmers in data-driven decision making.
Multimodal Seizure Detection System

Machine Learning, Anomaly Detection

Developed a multimodal AI system for seizure detection using physiological and behavioral data. Integrated multiple data modalities to improve seizure prediction and monitoring accuracy.
Intrusion Detection System for Hazardous Environments

Computer Vision

Built a computer vision-based system to detect human presence in hazardous areas. Implemented body part detection using CCTV feeds and designed a real-time alert system to prevent accidents.
Agentic AI-Based Fraud and Cyber Attack Detection System

Neural Networks, XGBoost, Random Forest

Developed a multi-agent AI system for real-time fraud detection and cyber threat analysis. Designed 8 AI agents for data collection, preprocessing, feature engineering, detection, and response. Built a risk-based decision system for automated transaction blocking and alerts.

⚽ Extracurricular activities

General Secretary, Visionary Club

Organized AI-based technical activities and events, conducted technical interviews, mentored junior students, and delivered technical knowledge-sharing sessions.

📚 Publications

Karmic HRMS: A Multi-Agent AI Framework for Intelligent Workforce Allocation and Resume Intelligence and Team Compatibility Analysis · 2026
Explainable AI in Diabetic Retinopathy Diagnosis: CNN-Based Detection with Gradient-Weighted Class Activation Mapping · 2025
Hate Speech Detection Using Machine Learning and Natural Language Processing · 2025

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