I
'
m
S
i
m
h
a
d
r
i
B
o
m
m
a
s
a
n
i
.
S
o
f
t
w
a
r
e
D
e
v
e
l
o
p
e
r
I'm a developer focused on building full-stack web applications, AI-powered tools, and automation systems.
I enjoy creating practical, user-friendly solutions using technologies like HTML, CSS, JavaScript, PHP, Python, and MySQL.
I'm Simhadri, a Computer Science student with a passion for web development, AI, and robotics. I enjoy building real-world projects like e-commerce websites and AI tools, and I'm always exploring new technologies to solve meaningful problems.
Instead of creating an online Concepts Art website, i started enjoying web development. Creating custom things for web taught me a lot about design & development!
My main focus is building real-world projects using Web Development, AI systems, and Automation tools to solve practical problems.
HTML
CSS
JS
TAILWIND
REACTJS
NEXTJS
NODEJS
GITHUB
GIT
PYTHON
C
C++
AI DEV
Bengaluru House Price Prediction A machine learning project to predict house prices in Bengaluru using Python and Google Colab. It includes data cleaning, feature engineering, and regression modeling. Achieved accurate predictions using Random Forest. Ideal for real estate price estimation.
TendoMart – E-commerce Website Designed and developed a full-featured e-commerce website using HTML, CSS, JavaScript, PHP, and MySQL. Users can browse products, add to cart, and place orders. Includes a complete admin panel for managing inventory, orders, and users. Built as a real-world project to simulate an online shopping platform.
Developed an AI system with multiple agents to process emails, PDFs, and JSON files. Each agent classifies input type, extracts business intent, and triggers follow-up actions like ticket creation or task updates. Built using Python with modular and scalable architecture. Designed for automation in enterprise workflows.
Built a machine learning model to predict customer churn in the telecom sector using Python. Analyzed customer behavior and service usage patterns to identify churn risks. Applied classification algorithms like Logistic Regression and Random Forest for accurate predictions. Useful for improving customer retention strategies.
