Building intelligent systems, practical AI applications, and scalable full-stack products.
I’m a Computer Science & Engineering student specializing in Artificial Intelligence & Machine Learning at VIT Bhopal University. I enjoy building practical AI systems and full-stack applications that solve real-world problems — from real-time fraud detection and career intelligence platforms to computer vision and NLP models.
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Real-time hybrid fraud detection platform combining heuristic rules and machine learning with a microservice architecture. Stack: Spring Boot, FastAPI, Next.js, PostgreSQL, XGBoost, Docker, WebSockets |
Full-stack AI career platform for ATS resume analysis, job matching, mock interviews, and personalized career roadmaps. Stack: React, Vite, Node.js, Express, Ollama, Qwen |
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AI-powered expense management platform featuring receipt OCR, budget alerts, and CSV bank statement parsing. Stack: React, Node.js, Express, PostgreSQL, AI Integrations |
Comparative deepfake detection study evaluating multiple deep learning architectures across various datasets. Stack: Python, VGG16, LSTM, MTCNN, InceptionV3 |
| Domain | Project | Overview |
|---|---|---|
| Computer Vision | Smart Surveillance | Real-time object detection and crowd activity tracking using YOLOv8 and DeepSORT. |
| Deep Learning | Deepfake VGG16 | Real vs Fake facial classification using MTCNN-based face detection and VGG16 transfer learning. |
| NLP | Text Classification | NLP pipelines using TF-IDF and traditional ML (SVM, Naive Bayes) on IMDB and Sentiment140 datasets. |
| NLP | Sarcasm Detector | Headline sarcasm classification focusing on source-domain features and confusion matrix analysis. |
| Data Mining | Student Performance | UCI dataset analysis achieving 93.28% accuracy using Decision Trees, Apriori, and OLAP. |
- Top 200 (out of 1400+ teams) — Shell Data Science Hackathon
- Top 200 (out of 1200+ teams) — Zelestra Data Science Hackathon
- School Head Boy — Universal Convent Senior Secondary School
I am actively building, learning, and tracking my development progress here on GitHub. My contribution graph below speaks for my consistency!
Building, learning, and shipping — one project at a time.
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