Nishant Holla

Project Highlights:
Automated Rendering: Dynamically renders React components and previews different props and states without needing manual setup or live servers.

Smart Test Generation: Automatically generates test cases for interactions like clicks, forms, and modals, ensuring up-to-date coverage with minimal manual effort.

The course taught me the tools necessary for building a general-purpose computer system and a modern software hierarchy from the ground up.

In this 6 week course, I built various hardware components starting from basic electronic gates to RAM and ALU using VHDL and also built an assembler for a custom assembly language using C.

The course taught me the basics of Data structures and Algorithms including trees, graphs, linked lists, and bit manipulation.

Over a month, 4 assignments in the form of competitions were conducted and I was able to secure distinction in the course by achieving overall rank of 3 in the class.

The course taught me the basics of machine learning and large language models.

For the final project of the course, my team created JurisDictionary. It is a lawyer chatbot to which you can ask a wide range of law related questions and expect a good answer. The bot is trained on a large dataset of court hearings and constitutional material around the world. The LLM is based on OpenAI’s gpt-3.5-turbo model. Front-end of the application, was made using Streamlit’s chat framework.