HI, I AM
Ayush Nathani
I build interactive web experiences with a focus on motion, aesthetics, and usability.
About Me
About Me
I am a Computer Science student currently pursuing my MCA at IIT Patna & IIIT Ranchi. I am passionate about programming and software development, with a strong foundation in multiple programming languages and frameworks. I enjoy creating innovative solutions to real-world problems.
🛠️Skills
🎓Education
Master of Computer Applications (MCA)
IIT Patna & IIIT Ranchi
August 2025 – Present (Expected: July 2027)
Bachelor of Computer Applications (BCA)
Amity University Jharkhand
July 2021 – June 2024
XIIth Grade
Trident Public School
July 2020
Xth Grade
Paramount Academy
May 2018
📜Certifications
Microsoft Azure AI Essentials: Workloads and Machine Learning on Azure
LinkedIn Learning
August 2025
Gemini for Google Workspace
Simplilearn Skillup
August 2025
Featured Projects
ayus1234 /
EcoShift_–_A_Carbon_Footprint_Tracker_App
This project implements a a web-based application designed to help individuals track sustainable habits and measure real-time co2 savings. features include habit logging, profile management, date-range filtering, and csv/pdf export.
EcoShift – A Carbon Footprint Tracker App
A web-based application designed to help individuals track sustainable habits and measure real-time CO2 savings. Features include habit logging, profile management, date-range filtering, and CSV/PDF export.
ayus1234 /
EV_Vehicle_Prediction_and_Forecasting
This project implements a a complete machine learning pipeline that forecasts electric vehicle (ev) adoption trends by analyzing historical data. built with a random forest regressor and an interactive streamlit dashboard.
EV Vehicle Prediction and Forecasting
A complete machine learning pipeline that forecasts electric vehicle (EV) adoption trends by analyzing historical data. Built with a Random Forest Regressor and an interactive Streamlit dashboard.
ayus1234 /
E‑DALL‑E:_Image_Generation_and_Expansion_System
This project implements a combines dall-e mini for text-to-image generation with a novel expansion technique (e-dall-e) using vqgan+clip to create images with various aspect ratios and cinematic appeal.
E-DALL-E: Image Generation and Expansion System
Combines DALL-E Mini for text-to-image generation with a novel expansion technique (E-DALL-E) using VQGAN+CLIP to create images with various aspect ratios and cinematic appeal.