Kashis Gupta: Excited to Share My AI/ML Project – Anemia Fusion Net!
Kashis Gupta, Full Stack Developer Intern at WorryQ, shared a post on LinkedIn:
“Excited to Share My AI/ML Project – AnemiaFusionNet!
I’m excited to share AnemiaFusionNet: A Multimodal Feature Fusion Framework for Region-Aware Anemia Detection
Anemia is a major health concern, and this project explores how Artificial Intelligence and multimodal data can be used to support anemia detection.
With AnemiaFusionNet, I worked on combining different sources of information, including:
- Eye/retinal image features
- Clinical data
- Regional/geographical information
- Deep Learning and Multimodal Feature Fusion
- AI-powered Web Application
The project covers the complete workflow – from data preprocessing and analysis to model development, evaluation, and web application development.
Technologies and Tools:
Python, Deep Learning, Computer Vision, OpenCV, Pandas, NumPy, Scikit-learn, React/Next.js, Machine Learning
This project has been a great opportunity to strengthen my skills in AI, Machine Learning, Computer Vision, Full-Stack Development, and research-oriented problem solving.”
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