Social Media Impersonation Detection
Machine-learning classification exploring XGBoost, Random Forest, SVM, neural networks and other approaches.
I'm Adarsh Anand, a developer who enjoys building web applications, software solutions, and AI-powered systems. I enjoy exploring technology, turning ideas into reality. Beyond coding, I enjoy writing and learning from life.
“Zindagi ki gehraai umr se nahi, un khamoshiyon se tay hoti hai jinhe insaan akele samajhna seekhta hai.”
An interdisciplinary approach to technology, research, and creativity.
I turn complex ideas into practical software — combining machine learning, thoughtful design, and real-world problem solving.
My background is in Computer Science with an AI & Machine Learning specialization. My work spans natural language processing, computer vision, data science, and full-stack web development.
I'm also pursuing postgraduate study in Information Security, exploring cybersecurity, and building educational tools for competitive-exam preparation. Outside engineering, I enjoy writing about life, psychology, and human connection.
Based in India · Open to meaningful collaborations.
A selection of AI experiments, practical tools, and learning platforms I've worked on.
Machine-learning classification exploring XGBoost, Random Forest, SVM, neural networks and other approaches.
Translation web app developed during the Infosys internship, with contributions to UI design, frontend development, and user experience.
Image enhancement concept bringing AI-assisted processing into a user-friendly experience.
Interactive competitive-exam practice platform with question banks, timers, scoring, explanations, and revision notes.
Industry project investigating automated grammatical error detection and recognition with NLP techniques.
Computer vision project for recognizing road-lane markings from image and video inputs.
Exploration of resume-derived features and machine learning for predictive analysis.
Cricket match outcome prediction using logistic regression and a reusable machine-learning pipeline.
Computer vision experiment using visual inputs for age and gender classification.
More public work loads automatically in the GitHub section below.
Four public codebases exploring machine learning, document retrieval, security analytics, and computer vision.
Compare classifiers on real datasets, explore evaluation metrics, and export predictions through an interactive dashboard.
Search text-based PDFs semantically, inspect retrieved excerpts with page citations, and export research notes.
Investigate authentication failures and traffic anomalies with configurable detection rules and log visualizations.
Experiment with OpenCV image processing, edge detection, thresholding, contours, and downloadable results.
Master's in Information Security (MScIS), Indira Gandhi National Open University — ongoing academic focus on secure systems and cybersecurity.
Contributing to public-sector administrative operations while independently exploring AI/ML, software development, research, and technological innovation.
Contributed to Bhasha Bridge Translator (web app), focusing on UI design, frontend development, user experience, and AI/ML integration.
Worked on automated grammatical error detection and recognition, exploring NLP and sequence models.
Selected for the SIH 2023 Grand Finale, a major national innovation and problem-solving event.
Technocrats Institute of Technology, Bhopal · RGPV. Academic Excellence — 9.4 SGPA | Awarded as a Top Ranker. Recognized for outstanding academic performance within a highly competitive academic cohort.
Public profile metrics and repositories loaded directly from GitHub when available.
PLAYLIST PREVIEW · Playback and available tracks are provided by Spotify.
Explore my public profiles, writing, research identity and curated playlist. All cards link directly to their respective destinations.
I'm interested in thoughtful engineering, useful AI, educational technology, and collaborations that make a real difference.