anuj@portfolio:~$ cat /about/me.txt about

Anuj
Fullstack Web/App · AI/ML Engineer
I’m a developer who loves building things that actually work — from web apps to smart tools that make life easier. I’m comfortable hopping between frontend, backend, and the command line, always looking for better, faster, and cleaner ways to get things done. I enjoy exploring new tech, contributing to open source, and turning ideas into projects that solve real problems. Whether it’s coding, experimenting with frameworks, or fine-tuning systems, I’m always up for the challenge.
I enjoy creating projects that solve real problems, exploring open-source, and experimenting with frameworks just to see what’s possible. Some days I’m deep in code, other days I’m tweaking configs, learning something new, or breaking things just so I can fix them better.
grep -r "skills" /usr/bin/anuj skills
Web Development
Mobile Development
AI/ML & Data Science
Programming Languages
Databases & Storage
Tools & Technologies
anuj@portfolio:~$ ls -la /projects/ projects
growSmart
A Vue.js + Flask web app where urban users enter their space details, and the system suggests suitable plants, with a chatbot for instant gardening advice.
useMeBefore
A Flutter + Firebase app for tracking item expiry dates, storage locations, and notes with notification alerts.
scrapeMate
Employs LLM-powered RAG to deliver precise answers based on live webpage content
e-commerce-app
A Django-based shopping platform with authentication, cart, checkout, and a complete admin dashboard.
ACtimize
A smart web app that predicts AC electricity costs with ML models and offers real-time energy-saving suggestions.
battery-health-classifier
A Streamlit app that predicts EV battery health using neural networks trained on synthetic datasets.
Movie Review Sentiment Classifier
A machine learning app that processes movie reviews, analyzes language patterns, and predicts sentiment as positive, negative, or neutral with high accuracy
Cardiovascular Disease Predictor
This project uses logistic regression from scratch to predict cardiovascular disease based on factors like age, cholesterol, and lifestyle habits. The model is trained using gradient descent with custom cost and gradient functions. Features are scaled for better performance, and evaluation is done using accuracy
Insurance Forecast Model
This project uses linear regression from scratch to predict insurance costs based on factors like age, BMI and smoking habits. The model is trained using gradient descent with custom cost and gradient functions. Features are scaled for better performance, and evaluation is done using R² Score
anuj@portfolio:~$ netcat -l 8080 | grep "contact" contact
Got an idea, project, or collaboration in mind? Whether it’s a smart web app, an AI-powered solution, or something completely new, I’m always up for building impactful products.
Drop me a message and let's discuss how we can work together!