Deepak Kumar

Undergraduate IT @Narula Institute of Technology

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A little about me,

About

Hello! （＾ω＾）

• i'm Deepak , 20, a software engineer.
• my research interests are AI, Machine Learning, Deep Learning, LLMs.
• most of my learnings are from either hands-on projects that i build in hackathons or from interesting courses taught at my university.
• tags: aiml, problem solver, good vibes only.

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Tech Stack

Skills

• Programming Languages: Python, C, and C++
• Frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn, Matplotlib, Streamlit, LangChain, HuggingFace, Flask, FastAPI, RAG, LLMs
• Tools and Technologies: Anaconda, Git, GitHub,Visual Studio Code , Google Colab , Kagglel
• Expertise Area: DSA, OOPS, ML, DL, NLP, LLMs, Transformers, RAG, CV, MLOps

Projects

Profile

Next-Word-Predictor

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• Built a deep learning-based Next Word Prediction model using Recurrent Neural Networks (RNN) to forecast the next probable word in a sentence based on previous input context.
• The model was trained on a custom dataset generated from a self-written 1000-word essay, showcasing end-to-end model building from data preparation to deployment.
• Tech Stack: Python, Keras, TensorFlow, NumPy, Natural Language Processing (NLP), RNN, Google Colab
Stack: Swift, Python, SLMs, STT, VAD, Diarization, MCP Servers, ANE, CoreData, CoreML.

Smart Tourist Safety Monitoring System

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• Developed a web-based Smart Tourist Safety System designed to enhance traveler safety through real-time location tracking, emergency alerts, and AI-driven risk assessment.
• Integrated features such as emergency SOS alerts, safe-route suggestions, nearby help center detection, and a feedback mechanism to improve safety monitoring and response.
• Tech Stack: Python, Flask, HTML, CSS, JavaScript, SQLite, Google Maps API, Geolocation API

Student Performance Prediction

View Project

• Built a machine learning model to predict whether a student will pass or fail based on academic scores and demographic attributes.
• Utilized key features such as math, reading, and writing scores, along with gender and test preparation status, to train and evaluate the model.
• Implemented a Decision Tree Classifier for interpretable and efficient classification, achieving around 90% accuracy on test data.
• Tech Stack: Python, pandas, scikit-learn, Google Colab.


...many more.

Education

Academics

Bachelors of Technology in Information Technology

Narula Institute of Technology, Kolkata
Aug, 2023 - July, 2027

My college offers various relevant subjects aligned with the tech industry, allowing me to build a strong foundation in Computer Science and Artificial Intelligence. A few notable subjects include:

CS: • Data Structures and Algorithms (DSA) • Computer Organisation (CO) • Theory of computation (TOC) • Machine Learning (ML) • Software Engineering (SE) • Theories of Deep Learning (TDL)

Maths: • Linear Algebra • Probability and Statistics • Multivariate Calculus • Differential Equations.

Softskills

others

Volunteering
Other Achievements
" The universe hums in quiet hearts <3 "

Let's Talk

Contact

Passionate about exploring new problems and creating innovative solutions, collaboration with like-minded minds to make ideas come alive is always welcome.
Drop a mail at: deepakforwork10@gmail.com

made with ♥ by deepak

keep hustling | good vibes only :))