SREE CHARAN REDDYTHE PERSONAL FIELD NOTES OF SREE CHARAN REDDY
I make things out of
data, code, and questions.
AI / ML engineer. From medical text to code dependencies, I’m interested in making complicated things easier to work with.
Before all this, there was a little robot.
One of my
first leaps into tech.
Hi, I’m Charan!
Loading my 3D portrait…
02 / A FEW WORKING ANSWERS
The projects are one part of the story.
Here’s the background.
03 / BACKGROUND
Interests, education, and the toolkit behind my projects.
Conversational AI, retrieval-augmented generation, and applications that make information easier to explore.
Machine learning, customer analytics, computer vision, and forecasting with real-world datasets.
Bringing models into web applications, playful interfaces, and robotics projects.
GRADUATE
MS in Data Science
GPA 3.822 / 4UNDERGRADUATE
B.E. in Computer Science
CGPA 8.46 / 1002 / PROJECT INDEX
AI, data, and robotics projects. Different questions, different tools.
ASTROLOGY · CONVERSATIONAL AI
A personal astrology companion with daily reflections, zodiac compatibility, calculated Vedic birth charts, and a thoughtful guide. Built for entertainment, curiosity, and self-reflection.
Try the live demoDEVELOPER TOOLS · CODE INTELLIGENCE
Know what changed. Understand what breaks. Splash follows dependencies across Python and JavaScript / TypeScript code to surface pull-request impact alerts with links to the source.
A local-first web app with a read-only GitHub integration and background analysis. Deterministic checks focus on API routes and JSON fields consumed by clients; AI analysis is optional.
Explore projectHEALTHCARE · NATURAL LANGUAGE
Turning long medical narratives into clearer conversations. TextRank and BART summarize patient inputs before a Flask-based chatbot responds with rule-based guidance.
NOTES ON THE METHOD
My project paper explores how extractive and abstractive summarization simplify medical transcriptions before a chatbot responds. It covers the pipeline, reported results, and the challenge of preserving important clinical details.
Building a Healthcare Chatbot (HealthBot) Powered by Text Summarization of Medical Transcriptions
BIG DATA · CUSTOMER ANALYTICS
RFM analysis and K-Means clustering with PySpark to find meaningful customer groups, improving cluster clarity by 22%.
COMPUTER VISION · TRANSFER LEARNING
A web app that detects health indicators from facial images using deep transfer learning.
TIME SERIES · PREDICTIVE ANALYTICS
Forecasting building energy usage with XGBoost, LightGBM, weather APIs, and GridSearchCV.
Explore projectROBOTICS · WHERE IT BEGAN
A little project from my younger days, and one of my first leaps into tech. A Raspberry Pi, some wheels, and plenty of curiosity became a floor-cleaning robot that could navigate with SLAM and detect obstacles.
04 / LEAVE A NOTE
Have an interesting problem, an idea, or just a question? I’m always open to connecting.
srcharan014@gmail.com