Ishita Das

B.Tech CSE (AI/ML) Student · Aspiring AI/ML Intern

Kolkata, West Bengal, India

@ishita_das1

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🎓 B.Tech in Computer Science Engineering (Artificial Intelligence & Machine Learning) at Brainware University

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About

Third-year B.Tech CSE (AI/ML) student with hands-on experience building AI-driven and full-stack applications across computer vision, backend systems, and modern frontend frameworks. Interested in internships focused on machine learning, software engineering, and applied AI systems.

Education

B.Tech in Computer Science Engineering (Artificial Intelligence & Machine Learning)

Brainware University

Computer Science

Computer Science

Skills

<3 months

SQL CSS HTML Java NumPy React Python Pandas OpenCV FastAPI Node.js PyTorch Seaborn Anaconda Express.js JavaScript Matplotlib Material UI Tailwind CSS scikit-learn Deep Learning Computer Vision Image Processing Object Detection

Tools / apps / platforms

<3 months

Git MySQL Docker GitHub Vercel MongoDB VS Code PostgreSQL Jupyter Notebook

Projects

StudyQ — AI-Powered Educational Platform

Designed a modern educational web platform with a structured login and learning flow, laying the UI/UX foundation for future AI-based adaptive learning support. Planned system architecture to integrate intelligent content recommendations into the learning experience.
PolicyPilot — AI Policy Interpreter and Smart Form Assistant

Designed an AI-driven summarization pipeline to simplify complex insurance and policy documents into plain-language explanations. Architected an intelligent form-assistance workflow to help users interpret legal and policy language efficiently, improving comprehension for non-expert users.
AeroGuard — AI-Powered Aircraft Inspection Platform

Next.js, FastAPI, PostgreSQL, Docker, YOLOv11

Built a full-stack aircraft inspection and inventory management platform using YOLOv11 for automated defect/object detection, reducing manual inspection effort. Designed a FastAPI backend with secure JWT-based authentication and REST APIs, integrated with a PostgreSQL database for inventory tracking. Containerized the application with Docker for consistent deployment across environments.

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