Open to Work

Sumit Kumar Jaiswal

I build intelligent systems using Machine Learning, Computer Vision, and Deep Learning — turning complex data into real-world impact.

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B.Tech CSE Graduate

India Based in

8+ Projects

brain_tumor_cnn.py

import tensorflow as tf
from tensorflow.keras import layers

class BrainTumorDetector:
  def build_model(self):
    model = tf.keras.Sequential([
      layers.Conv2D(32, (3,3), activation='relu'),
      layers.MaxPooling2D(2, 2),
      layers.Conv2D(64, (3,3), activation='relu'),
      layers.Flatten(),
      layers.Dense(128, activation='relu'),
      layers.Dropout(0.5),
      layers.Dense(4, activation='softmax')
    ])
    return model

# 🧠 Accuracy: 98% on MRI scans

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Deep Learning

Computer Vision

Data Science

ML Engineer

About Me

Crafting intelligent solutions
with data & AI

I'm a B.Tech Computer Science graduate from Royal Global University, Guwahati, with a deep passion for Machine Learning and Computer Vision. Through my internships at NIELIT, I've built production-grade models — including a CNN that detects brain tumors in MRI scans with 96-98% accuracy.

I believe in learning by building. From recommendation engines to real-time number plate detection systems, I transform ideas into working AI-powered applications.

B.Tech CSE (2026)Computer Science & Engineering

LinkedInSumit Jaiswal

Emailsumit500123@gmail.com

GitHubStrange0000

Ko-fiSupport my work

Tech Stack

Tools & Technologies

Python

TensorFlow

OpenCV

PyTorch

Scikit-Learn

Pandas

NumPy

Streamlit

JavaScript

C/C++

SQL

Git

NLP

Flask

Python

TensorFlow

OpenCV

PyTorch

Scikit-Learn

Pandas

NumPy

Streamlit

JavaScript

C/C++

SQL

Git

NLP

Flask

Machine Learning

Regression, Classification, Clustering, Ensemble Methods, Feature Engineering

Scikit-LearnXGBoostLightGBM

Computer Vision

Object Detection, Image Classification, OCR, Real-time Processing

OpenCVYOLOv8CNN

Deep Learning

Neural Networks, CNNs, Transfer Learning, Model Optimization

TensorFlowKerasPyTorch

Data Analysis

EDA, Statistical Analysis, Data Visualization, Dashboard Creation

PandasMatplotlibSeaborn

Programming & Web

Building responsive web applications and writing efficient, optimized code across multiple languages.

PythonC/C++SQLJavaScriptHTML/CSS

Featured Work

Selected Projects

Automatic Number Plate Detection

An edge-optimized Automatic Number Plate Recognition (ANPR) system designed for Raspberry Pi. It combines YOLO object detection, PaddleOCR, and a multi-threaded architecture to deliver real-time traffic monitoring and logging via a custom web dashboard.

PythonYOLOv8OpenCVCNNMobileNet

View Code

WhatsApp Chat Analyser

Analyzed 100,000+ WhatsApp messages using NLP. Built interactive visualizations showing message frequency, sentiment analysis, word clouds, and emoji usage patterns.

PythonStreamlitMatplotlibSeabornNLP

Live Demo View Code

Movie Recommendation Engine

Content-based recommendation system using cosine similarity across 50,000+ movies. Integrated TMDb API and deployed as a live Streamlit app with 95% relevance score.

PythonStreamlitPandasTMDb APIPickle

Live Demo View Code

TensorFlow Image Classification

Built an image classification pipeline using TensorFlow and OpenCV. Trained CNN models for multi-class visual recognition and deployed via Streamlit for interactive use.

PythonTensorFlowOpenCVStreamlitCNN

Live Demo View Code

Capture Tens Arena

A strategic card matching mobile game built with Flutter & Dart. Players capture cards that sum to 10 in this fast-paced arena. Features AI opponents, smooth animations, and an engaging scoring system.

DartFlutterGame LogicMobile App

Play Live View Code

SMS Spam Classifier

An NLP-powered spam detection system that classifies SMS/email messages as spam or ham using TF-IDF vectorization and machine learning models. Features text preprocessing, tokenization, and a clean Streamlit interface for real-time predictions.

PythonNLPScikit-LearnStreamlitTF-IDF

Live Demo View Code

My Journey

Education & Experience

Education

2022 — 2026

B.Tech in Computer Science & Engineering

Royal Global University, Guwahati

Graduated with specialization in Machine Learning, Computer Vision, and Software Development.

School

Class of 2022

High School / Secondary Education

Little Star Higher Secondary School, Dimapur

Completed higher secondary education with a strong score , building a solid foundation in mathematics and sciences.

Internship

Jun 2025 — Jul 2025

AI/ML Intern

NIELIT

120-hour intensive AI/ML program. Built a CNN-based brain tumor detection model on MRI images achieving 96-98% accuracy. Applied data augmentation and hyperparameter tuning.

PythonCNNOpenCVTensorFlow

Internship

Jul 2024 — Aug 2024

AI & ML Research Intern

NIELIT

Built computer vision models using TensorFlow and Keras achieving 92% accuracy. Documented research results for senior researchers.

TensorFlowKerasComputer Vision

Certifications

2023 — 2025

Professional Certifications

• Cloud Computing Bootcamp — NIELIT (2025)
• ML Workshop — IIT Kharagpur (2024)
• AI Data Analytics — Geeks of Gurukul (2024)
• Cybersecurity — Trusnetix (2023)

Feedback

What People Say

"Sumit is an exceptional developer with a deep understanding of AI and Machine Learning. The brain tumor detection model he built during his internship was incredibly accurate and well-documented. He is definitely a rising star in the data science community!"

Dr. Sharma

Research Lead, NIELIT

"I worked with Sumit on the Movie Recommendation project. His ability to clean messy data and implement complex recommendation algorithms using Cosine Similarity is impressive. The final Streamlit app was smooth and very professional."

Priya Das

Classmate, Royal Global University

"The ANPR system Sumit built is fantastic. Integrating YOLOv8 with MobileNet for real-time OCR is not an easy task, but he managed to achieve great accuracy while keeping the system lightweight. Highly recommended engineer."

Rahul Verma

Senior AI Engineer

Sumit Kumar Jaiswal

Crafting intelligent solutions
with data & AI