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About

name:            Anushka Verma
degree:          B.Tech, Computer Science & Engineering
university:      Thapar Institute of Engineering and Technology (TIET), Patiala
graduating:      June 2028
cgpa:            9.7 / 10
role:            Joint Tech Head @ Backslash Computing Society
research:        Multi-object tracking & intelligent surveillance,
                 under Dr. Payal Mittal

focus_areas:
  - Computer Vision & Multi-Object Tracking
  - Autonomous Systems & UAV Swarm Intelligence
  - Radar Signal Processing / Wireless Sensor Networks
  - Adversarial Machine Learning

philosophy: "Research. Build. Learn. Repeat."

Currently

Building

  • UAV swarm trajectory prediction & intent classification
  • YOLO + DeepOCSORT real-time surveillance system
  • Khatabot — smart customer credit management
  • Interactive 3D portfolio (React Three Fiber)

Learning

  • Advanced deep learning & sequence modeling
  • MLOps & model deployment
  • LLM engineering
  • Distributed systems

Tech Stack

Languages



AI / ML



Web Development



Tools


Research Interests

Domain Focus
Computer Vision Object detection & multi-object tracking
UAV Intelligence Swarm behavior analysis, intent classification
Deep Learning Sequence modeling
Signal Processing Radar signal processing, wireless sensor networks
AI Security Intelligent surveillance, adversarial ML
Generative AI LLM applications

Featured Projects

UAV Swarm Trajectory Prediction & Intent Classification — Ongoing

Deep learning framework analyzing 3D UAV trajectories to classify swarm intent — encirclement, reconnaissance, kamikaze attacks, and coordinated movement patterns.

Python PyTorch LSTM

YOLO + DeepOCSORT Surveillance System

Real-time multi-object tracking system for object detection, behavioral analysis, and threat monitoring.

YOLO DeepOCSORT OpenCV Python

Interactive 3D Portfolio Website

Jungle-themed developer portfolio with 3D animation, an interactive environment, and a fully responsive layout.

React Three.js React Three Fiber Tailwind


GitHub Stats






"The best way to predict the future is to build it."


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  1. Handwritten_Digit_Classifier Handwritten_Digit_Classifier Public

    A PyTorch-based handwritten digit classifier trained on the MNIST dataset. Includes data preprocessing, sequential model building, training, evaluation, and visualization of predictions for efficie…

    Jupyter Notebook 2

  2. khatabot khatabot Public

    KhataBot is a multi-tenant credit ledger platform for kirana store owners, enabling customer credit tracking, transaction management, and automated payment reminders via WhatsApp/SMS. Built with Fa…

    Python 1

  3. phishing_detection_dbms phishing_detection_dbms Public

    A normalized MySQL database system for managing, analyzing, and tracking phishing email datasets. Features ER modeling, 3NF/BCNF normalization, SQL queries, PL/SQL automation, user reporting, black…

  4. Portfolio_jungle Portfolio_jungle Public

    TypeScript

  5. Steel_surface_micro-crack_detection_using_CNN_and_explainable_AI Steel_surface_micro-crack_detection_using_CNN_and_explainable_AI Public

    Two-stage deep learning pipeline for steel surface micro-crack detection using ResNet18, U-Net, and Grad-CAM explainability.

    Jupyter Notebook

  6. Titanic-Survival-Prediction Titanic-Survival-Prediction Public

    Titanic survival prediction using machine learning. Includes data cleaning, encoding, training, and evaluation using accuracy, AUC, ROC curves, and confusion matrices. Random Forest gave the best r…

    Jupyter Notebook