Project Development Intern at CampusDekho.ai, CSE (AI/ML) student at PCCOE, Pune. Passionate about
learning AI and machine learning, building creative tech
projects, and exploring how technology can solve real-world
problems. Also interested in web development and helping
fellow students.
Technical Skills
Python
Data Science
Machine Learning
C++
C
DSA
JavaScript
HTML/CSS
Node.js
MySQL
MongoDB
PostgreSQL
Key Achievements
Winner of INNS Nurathon NLP Challenge Competition
Achieved 82% accuracy in a Natural Language Processing task, securing a top position among participants.
Project Development Intern at CampusDekho.ai
Excited to start my internship journey at CampusDekho.ai, gaining real-world experience in technology and project development while contributing to meaningful projects.
10+ ML Projects
Developed various machine learning projects including predictive models, computer vision applications, and NLP systems deployed in real-world scenarios.
Guided 250+ Students in College Admissions
Helped over 250 students secure admission into top engineering colleges through counseling and mentorship.
My Projects
A collection of my work in machine learning, data science, and full-stack development
HB Educational Firm
HB Educational Firm is a comprehensive counselling platform designed for MHT-CET (Engineering, Pharmacy), NEET, BBA/BMS, and BCS aspirants. It provides last year’s cut-offs, a smart college predictor, and an auto preference list generator to help students make informed admission decisions. The platform simplifies the entire counselling process with expert guidance and real-time updates.
A machine learning model for plant health detection
with 93% accuracy, using ensemble techniques and PCA
to classify diseases through leaf images with
explainable AI.
This is a web-based Slot Booking System that allows users to book time-based slots on specific days. The system features a user-friendly interface for selecting available slots and includes an admin panel for managing bookings, time slots, and user data. It is ideal for services requiring scheduled appointments or reservations.
A web-based tool that helps students predict suitable engineering colleges based on their MHT CET percentile, academic details, and preferences, simplifying the admission decision process.
Predicts MHT CET percentile using student's marks, exam date, and shift. Helps students estimate their score before results. Simple, fast, and easy to use.
A Natural Language Processing project using Logistic Regression, TF-IDF Vectorization, Ordinal Encoding, and Scikit-learn to classify customer complaints into product categories from noisy financial service data.
This paper focuses on detecting whether a plant leaf
is healthy or not using machine learning. It compares six different ML
algorithms like SVM, Random Forest, and XGBoost to find out which one works
best. The team used images of leaves from plants like mango, bell pepper,
potato, and Pongamia Pinnata. Since the image data was large, they used PCA
to reduce its size while keeping important information. After training and
testing all the models, SVM gave the best results with 93.63% accuracy.
This approach can help farmers detect diseases early and take better care
of their crops.
A comprehensive guide featuring hands-on implementations of essential machine learning algorithms from scratch, with detailed code explanations to enhance understanding and mastery of core ML concepts and techniques.
C++ and DSA notes cover fundamental to advanced topics including arrays, strings, linked lists, trees, sorting algorithms, and STL.
Note: Graphs and DP remaining.
These HTML notes cover the fundamentals of web development, including tags, elements, attributes, and structure, helping learners build and design basic web pages efficiently.
These CSS notes provide a concise overview of Cascading Style Sheets, covering selectors, properties, layouts, and styling techniques essential for designing visually appealing web pages.
These JavaScript notes cover essential concepts, syntax, and examples to help beginners understand and practice JS fundamentals for web development and interactive programming.
These Node.js notes cover core concepts, modules, asynchronous programming, and server creation, providing a concise guide for building scalable, efficient backend applications using JavaScript.
SQL notes cover essential concepts, commands, and queries for database management, ideal for beginners and developers to understand, practice, and master SQL efficiently.
Hands-on data science code implementations covering data preprocessing, visualization, machine learning models, and evaluation techniques for real-world problem-solving using Python and popular libraries.
