ayushanand18/fasterrcnn-great-barrier-reef

The goal of creating a FastRCNN based object detection model was to accurately identify starfish in real-time, trained on underwater videos of coral reefs. Australia's stunningly beautiful Great Barrier Reef is the world’s largest coral reef and home to 1,500 species of fish, 400 species of corals, 130 species of sharks, rays, and a massive variety of other sea life. Unfortunately, the reef is under threat, in part because of the overpopulation of one particular starfish – the coral-eating crown-of-thorns starfish (or COTS for short). The model can accurately identify COTS from video footage and output coordinates of a "bounding box" with the location of the COTS.

Hi, I am Ayush Anand 👋

About Me 🚀

Worked as an AI Developer Intern at @Openfabric and an active open source contributor and maintainer, I have been a Google Summer of Code 2022 student for IOOS. I am a CS Undergrad @ NIT Durgapur, Developing Software for Social Good.

Things I do 💻

• working as a software developer for Crypto News Feed Streaming Platform
• ISTE Students' Chapter NIT Durgapur Students Branch - Senior Coordinator (Sponsorship, Content, Tech).
• experiment with algorithms and sofwtare systems, love playing with their internals.
• writing a weekly blog of thoughts into tech, stem, nature and mankind - read me on Medium.
• Hacker's Tribe community member - Delhi NCR's largest open source community.

Projects I'm working on 👨‍💻

• helping maintain an open-source python package for Open Ocean Data
• working on a Darwin Core Data Visualization python package

Things I did previously 🔎

• created a custom branded ChatGPT alternative for a South American EdTech Company.
• worked at a Web3 AI "deep-tech" startup, developing cutting-edge AI Apps.
• worked on mapping diversity through diversity indices.
• created a AI based conversation booking ecommerce site with an American Fitness Brand.
• built a med-tech app to detect heart disease using eye images.
• built an open-source python package for fetching Earth and Atmospheric data as easily as calling a function.
• worked with a Child Care NGO to implement a code for good project against child abuse, using a web-based chatbot that can help reduce unreported abuses.
• built a blockchain powered to tool to track hospital beds and ventilators in COVID19 hospitals.
• handled shared responsibility for managing Rotary Sponsored Interact Club programs such as raising awareness against Polio Eradication and Donation drives to local Orphanages in high school.
• built a google assistant chatbot to help detect fake news. I am a Udacity deep learning nanodegree graduate.

Tools and tech I use tool 🖥

• C++, Python, JavaScript, TypeScript, MySQL, FastAPI, Node.js, Next.js, React, Redis, Git, RPC, Dask, Pandas, CI/CD
• Google Firebase, Microsoft Azure, Docker, AWS, Vercel, Linux, REST API

Connect with me 👨‍🚀

Thank you!