AI Camp Internship
Berry and Mushroom Identification App
Currently, I am an intern at AI Camp. I do back-end development and machine learning with Python. I developed a computer vision AI app that identifies mushrooms and berries (Berry and Mushroom Identification App - BAMI). I also made a natural language processing AI machine (technical assistant chatbot). I'm really happy that my skills can help to resolve real life problems.
BAMI: With a passion for hiking as well as tight connections with those who do foraging in the wild, I identified a problem: It is difficult to tell between poisonous and non-poisonous species of berries and mushrooms. I created BAMI with the goal of enhancing the hiking and foraging experience, making it safer for everyone. BAMI is able to accurately tell if a berry or mushroom is edible or not and what species of berry or mushroom it is based on only a picture.
Technical Assistant Chatbot
Technical Assistant Chatbot: Chatbots have been around for a long time. They are able to help answer user questions. However, I have identified a major problem in many chatbots: the unfiltered texts that the chatbot sends often leads to errors in its information.. I created many different "filters” using NeMo-Guardrails for Nova - the chatbot that exists. This enhanced Nova and set it apart from the other chatbots because the filters I coded eliminates off-topic chat, inappropriate language, and also tells the chatbot what format it should use in its answers.
