
Hello, I'm Samyukta. I'm a budding full-stack developer. I enjoy building sites & apps.
About me
I’m Samyukta Gade, a Computer Science student who enjoys solving real problems with smart code. It started with curiosity — how machines learn, how apps work — and turned into building AI flashcards from PDFs, emotion recognition systems, and cloud bots that book appointments on their own. Along the way, I’ve worked with startups, explored machine learning, and even presented award-winning research. Outside the screen, I lead my university’s chess team and find clarity in strategy — whether on a board or in a bug. This portfolio is a glimpse of what I’ve built and what I’m still learning. Thanks for stopping by.
My projects
Real-Time Emotion Recognition
Real-time facial emotion detection using PyTorch and OpenCV with over 95% accuracy. Used Pandas for efficient dataset handling.
- PyTorch
- OpenCV
- Pandas
- Live Project
AI Flashcards Web App
App that generates flashcards from PDFs using OpenAI API. Integrated Firebase for authentication and real-time data storage.
- JavaScript
- Firebase
- OpenAI
- UI/UX
Pantry Inventory App
Pantry management system with item CRUD, real-time sync using Firebase, and a user-friendly Node.js backend.
- Node.js
- Firebase
- UI/UX
My skills
- C
- Java
- Python
- SQL
- JavaScript
- React
- Node.js
- Firebase
- Flask
- FastAPI
- Docker
- PyTorch
- Oracle 19b
- HTML
- CSS
- Data Analysis
- Machine Learning
- Image Processing
- UI/UX
My experience
Cloud Computing Internship
Teachnook
Developed and deployed an AWS-based appointment bot, reducing manual effort by 40%. Optimized cloud infrastructure and integrated Amazon API Gateway to enable RESTful communication.
June 2024 - July 2024Software Engineering Fellow
Headstarter AI
Built 5 AI projects from scratch, including a startup platform with resume matching, real-time notifications, and an AI flashcard app transforming PDFs into flashcards.
July 2024 - September 2024ML Research Intern
ICRESH 2024 (BARC Conference)
Awarded Best Paper in ML for research on predicting concrete compressive strength. Developed models in MATLAB and Python with 85% accuracy.
Sept 2023 - February 2024Contact me
Please contact me directly at samyuktagade2004@gmail.com or through this form.


