Shajana M

Project 1

EXPLOLATORY DATA VISUALIZATION

(Dataset - Crime against Women)

Learnings

Data Handling:
Used Pandas and NumPy for cleaning, handling missing data, and standardizing names.
Exploratory Analysis:
Analyzed trends and correlations with Pandas and NumPy to identify key insights.
Visualization: Utilized Matplotlib, Seaborn, Plotly, and Bokeh to create both static and interactive visualizations for crime trends and regional disparities.

Project 2
CBT Chat Companion

We have designed a free, easy-to-use AI- powered chatbot designed to support individuals in their journey through Cognitive Behavioral Therapy(CBT). It provides a safe and non-judgmental space where you can express your thoughts and emotions. The chatbot will guide you through simple CBT exercises to help you manage stress, anxiety, and negative thinking patterns. It doesn't requires login rather, direct chatting and begin your journey towards emotional well being.
Learnings

Learnt LLMs, Frontend basics(Understanding HTML ,CSS),
Backend, Working of Chatbot and Integrating LLMs into the companion's architecture.

AN INTRODUCTION TO COLD-PILL MODEL

• I examined the sensitivity analysis for two types of cold pill models. For simulation, I used MATHEMATICA. Further, examined the cold pill naproxen and reviewed the case study of the corresponding cold pill. Further, I tried to relate the case study to the mathematical modeling of cold pills. This internship report has been written in LaTeX.