About Me
I'm a student at University Of Mumbai, immersed in the captivating world of Computer Vision. My research focuses on creating innovative Computer Vision Systems that bridge art with hardware technology. I'm passionate about Electronics, Coding, and Machine Learning. Proficient in Deeplab v3+, Image Classification, Mask R-CNN, Faster R-CNN, and multiple OCR Frameworks.
Experience
IEEE GRSS Sattelite Club Tech Lead
IEEE Satellite image processing Section · Sep 2023 - Present
GDSC Tech Core
Google Developer Student Club Mumbai · Sep 2023 - Present
Featured Projects
AI-Powered Document Search Engine
Built a RAG-based search engine using LangChain and ChromaDB for efficient document retrieval...
Thingbot - A Fine-tuned LLM chatbot
Developed a context-aware chatbot using LLM and custom knowledge base with dialogflow CX and Chatwoot...
HepaScope: Liver Segmentation using DCNN
The Advanced Liver Segmentation Project involved integrating cutting-edge technology, medical expertise, and a vast array of CT scans annotated for liver segmentation. We enhanced the data by reducing noise, adjusting colors, and improving contrast, enabling our deep learning models to learn more effectively. We leveraged advanced Convolutional Neural Networks (CNNs) and incorporated transfer learning from pre-trained models to achieve highly accurate liver segmentation.
Checkout Our projectHackathon Achievement
🏆 Winner of the Joint Duke-Harvard International Hybrid Hackathon!
Our team, consisting of Arnav Sonavane and Harshal More, emerged victorious among 140 global participants.
HepaScope: Advanced Liver Segmentation
Recognized Categories:
- 🌟 Artificial Intelligence (Global)
- 🌟 Product Demo (Global)
- 🌟 Product Design (Honorable Mention)