I'm a Computer Science Engineering undergraduate passionate about building practical applications using Artificial Intelligence, Machine Learning, Computer Vision, NLP, Generative AI, and Backend Development.
I enjoy working on end-to-end projects that combine intelligent models with scalable backend systems and real-world use cases.
- 🎓 Pursuing B.Tech in Computer Science and Engineering
- 🤖 Interested in AI/ML, Generative AI, Computer Vision, and NLP
- ⚖️ Currently building ChargeSheet AI Assistant, an AI-assisted legal document analysis platform
- 🌱 Exploring LLMs, RAG pipelines, LangChain, and production-ready AI systems
- 💻 Solved 437+ DSA problems on LeetCode
- 🌍 Open-source contributor at GSSoC 2026
- 🏆 Secured Global Rank #235 among 43,500+ GSSoC participants
- 🔧 Interested in AI/ML and Software Engineering internship opportunities
An AI-assisted legal document analysis platform designed to extract and structure information from police chargesheets and legal case records.
Tech Stack: Python, FastAPI, NLP, OCR, RAG, LLMs
Key Features:
- OCR-based legal document extraction
- Named Entity Recognition
- Multilingual NLP processing
- Retrieval-Augmented Generation
- FastAPI-based backend architecture
- Structured legal information extraction
A computer vision-based public monitoring system designed to analyze video streams and identify human activities.
Tech Stack: Python, YOLOv8, OpenCV, MediaPipe, FastAPI
Key Features:
- Video-based activity detection
- Computer vision inference pipeline
- Safe and potentially unsafe activity identification
- Automated video processing
- REST API integration
Python Java C++ SQL JavaScript
Machine Learning Computer Vision NLP YOLOv8 OpenCV MediaPipe
spaCy Transformers RAG OCR LLMs LangChain Hugging Face
FastAPI Flask REST APIs PostgreSQL MySQL
Microsoft Excel Power BI Pandas NumPy
Git GitHub Docker Linux n8n AWS Streamlit
Worked on the development of VisionSafe, an AI-based public monitoring system using YOLOv8, OpenCV, and MediaPipe.
- Developed computer vision inference pipelines
- Worked on data preprocessing and model evaluation
- Integrated AI models with backend services
- Built FastAPI-based REST APIs
- Implemented automated video analysis workflows
Worked on designing and implementing automated workflows using n8n.
- Built workflow automations using n8n
- Integrated third-party REST APIs
- Implemented webhook-based automation
- Created automated data synchronization workflows
Contributed to multiple open-source projects through feature development, bug fixes, issue resolution, and collaborative Git-based workflows.
- 🥇 Global Rank #235 among 43,500+ participants in GSSoC 2026
- 💻 Solved 437+ DSA problems on LeetCode
- 📈 Achieved a LeetCode Contest Rating of 1510
- 🎓 Completed the Infosys Springboard AI Internship
- 🚀 Qualified for the NEC Basic Track organized by E-Cell IIT Bombay
- 📢 Documentation & Social Media Lead at E-Cell, Dumka Engineering College
- Advanced Retrieval-Augmented Generation
- Large Language Model applications
- AI Agent development
- Backend system design
- Cloud deployment
- Data Structures and Algorithms
- LinkedIn: linkedin.com/in/kareena-k-a9b054247
- GitHub: github.com/kareena0229
- LeetCode: leetcode.com/u/Kareena_0209
- Email: kareenaan029@gmail.com