Bharat Singh Parihar: UI/UX & Data Science Enthusiast

A creative Computer Science student specializing in Data Science, merging design thinking with advanced machine learning and web technologies to craft intuitive user experiences and solve complex problems.

Projects

A selection of projects blending UI/UX principles with Data Science and AI.

AI-Driven Image Encryption System

Designed a self-adaptive encryption model using CNNs and RNNs, securing images 50% faster than AES-256, tailored for healthcare and IIoT applications.

PyTorchCNNRNNSecurityHealthcare

GigX

A decentralized freelance job marketplace built using Next.js, Hardhat, and Solidity. Features a token-based task system, smart contract escrow, and Dockerized deployment for efficient job management.

Next.jsSolidityHardhatDockerWeb3

HandTalk

Real-time ASL detection system for video calls using a fine-tuned MobileNet model. Designed for inclusive communication with integrated gesture-to-text translation.

ReactNode.jsWebRTCMediapipePython

NeuroOCR

A TensorFlow.js-based OCR engine for handwriting recognition, featuring real-time image processing and a modern UI built with React and Tailwind CSS.

TensorFlow.jsReactTypeScriptTailwind CSS

ChainFusion

Bridging Web2 and Web3 through AI agents that assist in blockchain onboarding and integration. Automates Web3 tasks and simplifies smart contract interaction.

Next.jsAI AgentsWeb3Blockchain

GlobalGive

A blockchain-powered crowdfunding platform that ensures donor transparency and decentralized fundraising using Ethereum smart contracts.

EthereumSmart ContractsWeb3Crowdfunding

TruthGuardAI

AI-driven misinformation detection platform that uses NLP and credibility scoring to detect and flag false content across the web.

AIMisinformation DetectionNLP

MediChain

Blockchain-based secure medical record management system to ensure patient data integrity, access control, and decentralized storage.

BlockchainHealthcareData Security

ETS (E-Ticketing System)

E-Ticketing System using React, Node.js, and MongoDB to manage event tickets and user accounts.

ReactNode.jsMongoDBAuthenticationEvent Management

DreamCanvas

AI-powered generative art platform that converts text descriptions into personalized visual art using Stable Diffusion models.

AI ArtText-to-ImageGenerative Models

Federated Learning for Anomaly Detection

Developed a privacy-preserving federated learning system for anomaly detection across complex computing devices.

FedMLTensorFlowPrivacyMLOpsSecurity

DeepFake Detection

Focused on distinguishing real faces from fakes using a fine-tuned CNN model. Integrated Multi-Criteria Decision-Making (MCDM) for enhanced accuracy.

CNNMCDMComputer VisionPythonKeras

Brain-Tumor Detection Model

Developed and deployed a scalable AI-powered brain tumor detection model using YOLOv8 and PyTorch, achieving high accuracy on MRI scans.

YOLOv8PyTorchAIMedical ImagingDocker

Book Detection for Visually Impaired

Created an OCR-based system to convert book text into spoken words using PyTesseract and OpenCV, improving accessibility.

OCROpenCVAccessibilityPythonTTS

AquaTrace Software UI/API

Experimented with APIs (OAuth Access Tokens) and frontend components for a software project using Figma, TypeScript, and React.

ReactJSTypeScriptAPIUI DesignFigmaFirebase

About Me

I'm a Computer Science undergraduate specializing in Data Science, driven by a passion for merging analytical thinking with user-centered design. I excel at transforming complex data into intuitive interfaces and leveraging AI/ML to create impactful, real-world applications.

My experience spans developing advanced machine learning models, crafting interactive web applications, and leading collaborative projects. Through roles in IEEE and CSI, and success in hackathons, I've honed my teamwork, innovation, and problem-solving skills. I'm eager to explore the intersection of AI, cloud computing, and design to build cutting-edge solutions.

UI/UX & Dev

AI & ML

Data & Cloud

Leadership

NLP & Vision

Problem Solving

Core Skills

C/C++

Python

Java

Scala

JavaScript/TypeScript

SQL

Flutter

ReactJS

Node.js

ShadCN

Flask

FastAPI

WordPress

Material UI

Agile Development

Web3

DeFi

Streamlit

TensorFlow

PyTorch

Keras

YOLOv8

Matplotlib

Seaborn

NumPy

Pandas

Scikit-Learn

PyCaret

NLTK

SciPy

OpenCV

PyTesseract

ImageMagick

Leptonica

CNNs

Caffe

Darknet

MLOps

API

RAG

NLP

Git

GitHub

UnixShell

Anaconda

PowerBI

AutoCAD

IBM SPSS

MS Excel

Figma

IntelliJ CLion/PyCharm

Google Cloud

Amazon AWS

Docker

Kubernetes

Firebase

MySQL

EC2

My Journey

Blending academic knowledge with practical experience in tech leadership and skill development.

Professional Experience

Summer Research Intern

PGDAV College – University of DelhiMay 2024 – July 2024

Developed a CNN model for DeepFake detection (83% accuracy).
Integrated MCDM methods to enhance decision precision in analysis.
Focused on computer vision and model evaluation techniques.

Student Intern

KadacyJan 2023 – Feb 2023

Performed simulations guiding robotic prototyping, boosting efficiency by 15%.
Gained exposure to simulation software and iterative design processes.

Education

Symbiosis Institute of Technology, Nagpur

B.Tech (Hons.) CSE - Data Science2022 – Expected 2026

CGPA: 7.85/10.00

Kendriya Vidyalaya, Unnao

SSC, PCM with Computer ScienceCompleted 2022

Percentage: 87.44%

Certifications & Skills

Machine Learning Specialization - Stanford University

Fundamental of Deep Learning - NVIDIA

Fundamental of Accelerated Computing with CUDA C - NVIDIA

Accelerating CUDA C applications with Multiple GPUs - NVIDIA

Cloud Data Engineer - Google

SQL (Basic, Intermediate, Advance) - HackerRank

SDE Intern - HackerRank

Leadership & Involvement

Chair, CSI Student Chapter

Dec 2024 - Present

Organizer, SITNavate Hackathon

Feb 2025

Founder Vice Chair, CSI Student Chapter

Jul 2024 - Nov 2024

Core Member, IEEE Student Chapter

Dec 2023 - Jun 2024

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## Bharat Singh Parihar - Computer Science Student (Data Science Specialization)

**Contact:** +91 9451747691 | bharat3645@gmail.com | github.com/bharat3645 | linkedin.com/in/bharat-singh-parihar/

**Summary:**
I'm a Computer Science undergraduate student specializing in Data Science, deeply passionate about using technology to solve real-world problems. With experience in creating advanced machine learning applications and predictive analytics tools. My leadership roles in IEEE and CSI, coupled with successful participation in hackathons, have honed my collaborative and innovative skills. I am integrating AI, cloud computing, and cutting-edge technologies to contribute meaningfully while expanding my expertise through impactful research.

**Education:**
- **Symbiosis Institute of Technology, Nagpur, India**
  - B.Tech (Hons.) CSE Core Data Science (CGPA: 7.85/10.00) | Expected 2026
- **Kendriya Vidyalaya, Dahi Chowki, Unnao**
  - SSC, PCM with Computer Science (Percentage: 87.44%) | 2022

**Skills:**
- **Programming and Development:** C/C++, Python, Java, R, Scala, JavaScript/TypeScript, SQL, Flutter, ReactJS, NodeJS, ShadCN, Flask, FastAPI, WordPress, Material UI, Agile Development
- **AI & ML:** TensorFlow, PyTorch, Keras, YOLOv8, Matplotlib, Seaborn, NumPy, Pandas, Scikit-Learn, PyCaret, NLTK, SciPy, OpenCV, PyTesseract, ImageMagick, Legionica, CNNs, Caffe, Darknet, MLDps, APL
- **Tools:** Git, GitHub, UnixShell, Anaconda, PowerBI, AutoCAD, IBM SPSS, MS Excel, Figma, IntelliJ
- **Cloud & Data Management:** Google Cloud, Amazon AWS, Docker, Kubernetes, Firebase, MySQL, EC2

**Professional Experience:**

**PGDAV College – University of Delhi | Summer Research Intern | May 2024 – July 2024**
- Developed a CNN-based deep learning model for real vs. fake face distinction, achieving 83% accuracy.
- Integrated Multi-Criteria Decision-Making (MCDM) for enhanced decision precision.

**Kadacy | Student Intern | Jan 2023 – Feb 2023**
- Conducted simulations to guide robotic prototyping, improving efficiency by 15%.

**Projects:** (See Projects Section for details)
- AI-Driven Image Encryption System (Feb 2025 - Present)
- Federated Learning for Anomaly Detection (Jan 2025 - Present)
- DeepFake Detection (May 2024 - Jul 2024)
- Brain-Tumor Detection Model (Dec 2023)
- Book Detection for Visually Impaired (Feb 2024 - Jun 2024)
- AquaTrace Software (Aug 2023 - Oct 2023)

**Achievements & Awards:**
- Winner, GDSC Hackathon (2023)
- 3rd Place, IEEE Research Hackathon (2023)
- 4th Place, CyberHack Maha Hackathon (2023)

**Publications:**
1. B. S. Parihar, et al., Integration of Computer Vision for Book Detection and Text-to-Speech Conversion, IEEE ICISCT 2024, Kookmin University, Korea (SCOPUS)
2. B. S. Parihar, et al., The Impact of Digitalization on Psychological Treatment, IEEE ICISCT 2024, Kookmin University, Korea (SCOPUS)
3. B. S. Parihar, et al., Realtime Cryptojacking in Advanced mobile devices, IEEE ICIPCT 2025, Amity University, Noida, India (SCOPUS)
4. B. S. Parihar, et al., Revolutionizing Industry 4.0: Multi-Level Federated Learning for Dynamic Ecosystem (Book Chapter) 2025
5. B. S. Parihar, et al., AI and Forecasting for Renewable Energy Generation – (Book Chapter) 2025

**Certifications:**
- Fundamental of Deep Learning (NVIDIA)
- Fundamental of Accelerated Computing with Cuda C (NVIDIA)
- Cloud Data Engineer (Google)
- Accelerating CUDA C applications with Multiple GPUs (NVIDIA)
- SQL (Basic, Intermediate, Advance) (HackerRank)
- SDE Intern (HackerRank)
- Machine Learning Specialization (Stanford University)

**Leadership Experience:**
- **Computer Society of India (CSI) Student Chapter:** Chair (Dec 2024 - Present)
- **SITNavate 24 Hours Hackathon:** Organizer (19, 20 Feb 2025)
- **Computer Society of India (CSI) Student Chapter:** Founder Vice Chair (July 2024 - Nov 2024)
- **IEEE Student Chapter:** Core Member (Dec 2023 - Jun 2024)

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Let's Connect

Have a project idea, a question, or just want to chat about design and data? Drop me a line or connect online!

bharat3645@gmail.com

+91 9451747691

linkedin.com/in/bharat-singh-parihar github.com/bharat3645

Send a Message

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