Sandeep Balabantaray

I'm an AI/ML engineer on a mission to drive change with intelligent systems. I craft powerful algorithms, harness data, and build solutions that make a real impact—whether it's improving lives, optimizing industries, or pushing the boundaries of innovation. AI isn't just my work; it's my tool for shaping a smarter, more connected world.

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Sandeep Balabantaray

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About Me

I'm a passionate Computer Science engineer skilled in full-stack development, machine learning, and AI integration. I've built impactful projects like adaptive learning systems, healthcare platforms, and legal AI tools.

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Education Journey

Academic Progress & Achievements

10th Standard

Kendriya Vidyalaya No-5, Bhubaneswar, Odisha
2018 - 2019
Completed
Percentage: 91.4%

12th Standard

Kendriya Vidyalaya No-5, Bhubaneswar, Odisha
2020 - 2021
Completed
Percentage: 94.6%

B.Tech (CSE)

VIT Bhopal University, Kothri Kalan, Madhya Pradesh
2022 - 2026
Currently Enrolled
Current CGPA: 8.58

YOUR

MACHINE LEARNING

EXPERT

TensorFlowTensorFlow
KerasKeras
Scikit-learnScikit-learn
OpenCVOpenCV
CUDACUDA
FlaskFlask
PythonPython
SQLSQL
Next.jsNext.js
TailwindTailwind
NLTKNLTK
DevelopmentHugging Face
djangodjango
geminiGemini
ReactReact
DockerDocker
AWSAWS
ChromaDBChromaDB
CloudinaryCloudinary
DeepFaceDeepFace
FastAPIFastAPI
Google ADKGoogle ADK
LangChainLangChain
OptunaOptuna
QdrantQdrant
SeleniumSelenium

Certifications

Professional Achievements & Recognition

Certificate 1
Certificate 2
Certificate 3
Certificate 4
Certificate 5
Certificate 6
Certificate 7
Certificate 8
Certificate 9
Certificate 10
Certificate 11
Certificate 12
Certificate 1
Certificate 2
Certificate 3
Certificate 4
Certificate 5
Certificate 6
Certificate 7
Certificate 8
Certificate 9
Certificate 10
Certificate 11
Certificate 12

PROJECTS

CodeBlaze

CodeBlaze

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LinkVideo

About

Codeblaze is a next-gen online judge platform for coders and competitive programmers. It features user profiles, problem catalogs, a Monaco-based code editor, real-time feedback via WebSockets, and a secure Docker-powered judging system.

Tech Stack
  • Frontend: React.js, Tailwind, Monaco Editor
  • Backend: Django + DRF, Django Channels (WebSockets)
  • Database: SQLite (dev), scalable to PostgreSQL/MySQL
  • Judging: Docker-sandboxed workers
  • Infra: Vercel (frontend), AWS EC2 + Nginx + SSL (backend)
CourseCraft

CourseCraft

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LinkVideo

About

CourseCraft is an AI-powered learning platform that delivers personalized tutoring, adaptive learning paths, and ML-driven course recommendations. It features an interactive dashboard, real-time AI chat tutor, and secure user management with a modern responsive UI.

Tech Stack
  • Frontend: React (Vite), Tailwind, Framer Motion, Chart.js
  • Backend: Flask (Python), MongoDB Atlas, Flask-JOSE Auth
  • AI: Hugging Face (Falcon-7B, BART-MNLI) for tutoring + recommendations
  • Infra: Render (backend), Vercel (frontend), Cloud MongoDB
Walmart Bot

Walmart Bot

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LinkVideo

About

Walmart AI Grocery Assistant is a shopping copilot that lets users build and refine grocery lists via chat, extract items from images/PDFs with OCR, and get product recommendations through market-basket analysis. Powered by Google Gemini for natural-language understanding, it integrates Cloudinary for uploads and a Chrome extension to streamline actions on walmart.com, with sessions maintaining context and outputs returned as JSON.

Tech Stack
  • Frontend: React (Vite), Tailwind, axios, lucide-react
  • Backend: Flask (Python), Google Gemini, OCR (PyMuPDF, Tesseract, Pillow), Cloudinary
  • Recommender: Flask + mlxtend (FP-Growth/Apriori), pandas
  • Extension: Chrome MV3 (service worker, content script, popup)
  • Infra: Vercel/Netlify (frontend), Render
CourseFinder

CourseFinder

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Link

About

CourseFinder helps users discover courses based on past enrollments and interests, and includes a Python-based machine learning sentiment analyzer to evaluate course reviews for better recommendations.

Tech Stack
  • Frontend: React, Tailwind
  • Backend: Flask (Python)
  • ML: Sentiment analysis with scikit-learn and NLTK
  • Infra: Render (hosted at coursecom.onrender.com)
Nexus AI Smart Gallery

Nexus AI Smart Gallery

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Link

About

Nexus AI Smart Gallery is an intelligent multi-agent gallery system that transforms your photo library into a searchable knowledge base. By combining Biometric Identity (Facenet) with Semantic Understanding (Gemini), it allows you to search for memories using complex queries like "Dad eating pizza at the beach" while automatically offloading assets to the cloud to save local storage.

Tech Stack
  • Frontend: Google ADK
  • Backend: Fast API
  • AI: Langchain, Gemini
  • Database : Qdrant, Chroma DB
  • Cloud: Cloudinary
Breast Cancer Detection IOT

Breast Cancer Detection IOT

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Link

About

This project functions as an edge computing system where the Raspberry Pi serves as the central processing unit. Patient data is transmitted from a web interface directly to the Pi. The Pi then runs an onboard Machine Learning algorithm to analyze the received data and generate a real-time breast cancer prediction.

Tech Stack
  • Frontend: React, Tailwind
  • Backend: Fast API
  • ML: Scikit Learn, TensorFlow
Autonomous QA Agent

Autonomous QA Agent

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LinkVideo

About

The Autonomous QA Agent is an intelligent testing assistant designed to streamline the software testing lifecycle. By combining a RAG pipeline with a Streamlit interface, the system builds a knowledge base from uploaded requirements (PDF/Markdown) and target HTML files. It allows users to generate comprehensive test plans and immediately convert them into runnable Python Selenium scripts, ensuring that all automation logic is strictly grounded in the provided business rules and technical specifications.

Tech Stack
  • Frontend: Streamlit
  • Backend: Fast API
  • AI: Langchain
  • Testing: Selenium
Eigen Solver Pro

Eigen Solver Pro

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Link

About

Developed a Python-based computational tool to calculate eigenvalues and eigenvectors, demonstrating the mathematical core of Machine Learning algorithms. The project illustrates how these components identify directions of maximum variance in high-dimensional data, simulating the mechanics of Principal Component Analysis (PCA) for dimensionality reduction and feature extraction.

Tech Stack
  • Frontend: Streamlit
  • Backend: Fast API
  • ML: Numpy