About Me
I am a passionate Computer Science and Engineering student specializing in AI and Machine Learning at Arka Jain University. With hands-on experience in SpringBoot, data science, and machine learning through internships, I enjoy creating scalable software solutions and applying analytical thinking to solve real-world problems in the field of AI/ML development.
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Projects Completed
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Internships
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Technologies Mastered
- Gained in-depth understanding of SpringBoot for backend development.
- Proficient in designing, deploying, and managing scalable SpringBoot applications.
- Implemented responsive UI using HTML, CSS, Bootstrap, and JavaScript to enhance user interaction and experience.
- Worked on a machine learning project focused on steel surface defect detection using real-world industrial datasets.
- Utilized computer vision techniques such as edge detection, morphological operations, and feature extraction for defect classification.
- Achieved 99.31% accuracy on a 7-class steel surface dataset.
- Achieved 99.72% accuracy on the NEU-DET dataset.
- Gained a solid foundation in key data science concepts such as data cleaning, data visualization, and exploratory data analysis (EDA).
- Worked with tools like Python, Pandas, and Jupyter Notebook to analyze and manipulate datasets.
- Built mini-projects to apply theoretical knowledge to real-world data problems.
- Worked with ML algorithms like Linear/Logistic Regression, Decision Trees, and K-Means.
- Built models using Python, scikit-learn, and NumPy.
- Used Jupyter Notebook for data preprocessing, training, and visualization.
- Explored key challenges like overfitting, underfitting, and feature selection.
Skills & Technologies
Here are the technologies and tools I work with to bring ideas to life.
Programming Languages
- Python
- C / C++
- JavaScript
- HTML / CSS
- SQL
Frameworks & Libraries
- SpringBoot
- TensorFlow
- Keras
- Bootstrap
- NumPy / Pandas
Data Science & ML
- Machine Learning
- Scikit-learn
- Data Visualization (Matplotlib, Seaborn)
- Natural Language Processing
- Computer Vision (Haarcascade)
Tools & Platforms
- Git / GitHub
- VS Code
- Jupyter Notebook
- Google Cloud Platform
- MySQL
Core Competencies
- Web Development
- Backend Development
- Database Management
- RESTful API Development
- Software Engineering
Soft Skills
- Critical Thinking
- Analytical Approach
- Leadership
- Team Collaboration
- Optimistic Professionalism
Featured Projects
A showcase of my recent work and passion projects that demonstrate my skills in AI, ML, and web development.
Age Gender Prediction
Deep learning application that predicts age and gender using pre-trained models and Haarcascade classifier for real-time face detection.
Food & Recipe API App
Web application that allows users to search food recipes based on ingredients using MealDB API with RESTful API integration.
Blood Donation Forecast
Machine learning model that predicts blood donation patterns using Random Forest Classifier with hyperparameter tuning via GridSearchCV.
Sentiment Analysis
End-to-end NLP pipeline for sentiment analysis using VADER sentiment scoring with custom visualizations through Plotly and Seaborn.
Combat Online Plagiarism with AI
AI-powered plagiarism detection system using natural language processing and machine learning algorithms to identify duplicated content and academic misconduct.
Black Friday Sales Prediction
Regression model predicting customer purchase amounts during Black Friday sales using demographic data and machine learning algorithms like XGBoost and Random Forest.
MNIST Digit Classification
Handwritten digit recognition system using convolutional neural networks on the MNIST dataset with high accuracy classification results.
Home Price Prediction
Real estate price prediction model using linear regression and feature engineering to estimate property values based on location, size, and amenities.
Get In Touch
Ready to collaborate? Let's discuss your next project and bring your ideas to life.