Q&A Chatbot

Justin showed a willingness to learn and adapt to new challenges. He was able to research and implement solutions in areas where he initially had little experience.

Sivakumar R, Director at Emerson Automation

*Full referral letter available on request

Description

Developed during summer internship with Emerson Automation Solutions as part of their digital innovation initiative. Entirely developed with Python, utilizing machine learning libraries such as Sklearn and PyTorch. Supporting scripts to scrape data was also developed in order to create a viable data set.

Features

• GUI to ask questions to the chatbot
• Textual responses through a classification model
• Suggested questions to ask
• Modularized messages to allow ease of editing

Techstack

• Language: Python
• Toolset: Sklearn, Pandas, PyTorch
• Models: DistilBERTForSequenceClassification
• Frontend: Tkinter

Highlights

This project marked my debut in Machine Learning as its central focus. Despite my initial unfamiliarity with Natural Language Processing, I rapidly acquired the skill to craft usable textual data from existing sources, meticulously shaping them into a viable chatbot dataset. Despite the challenges posed by the short duration of the internship, I persevered, and ended up with the creation of a simple yet impactful chatbot by the end.