Advanced Fake News Detection System
Built machine learning models to detect misinformation using Python; performed data preprocessing, feature extraction, and classification using Scikit-learn.
Lakshmi Poorani S
AI & Machine Learning Intern
Artificial Intelligence and Machine Learning
3roles
19skills
2education
3credentials
About
Computer Science Engineering and Data Science student with hands-on internship experience in AI, machine learning, generative AI, anomaly detection, and full-stack application development.
Experience
AI & Machine Learning Intern
DVein Innovations Pvt. Ltd
Jun 2026 – Jul 2026 · Navalur, Chennai, Tamil Nadu
Completed a one-month industry internship in artificial intelligence and machine learning; gained hands-on experience with data preprocessing, model development, training, and evaluation; participated in project-based training and strengthened analytical, problem-solving, and AI application development skills.
AI Intern
Navitas Life Sciences Pvt Ltd
Jun 2025 – Oct 2025 · Chennai, Tamil Nadu, India
Built an AI-based SIEM log analysis system using Python and Flask; developed anomaly detection models using Pandas, Scikit-learn, JSON logs, and REST APIs.
Student Intern
MAHSA University, Malaysia
Feb 2025 – Mar 2025 · Jenjarom, Selangor, Malaysia
Contributed to piloting generative AI tools for academic use cases; explored LLM-based solutions for document automation and productivity and gained international exposure through collaborative research.
Education
Francis Xavier Engineering College
B.E, Computer Science Engineering
2023 – 2027
CGPA: 8.5
IIT Madras
BS Degree, Data Science and Applications
2024 – Present
Skills
PythonJavaSQLMachine LearningDeep LearningData PreprocessingModel TrainingModel EvaluationFlaskPandasScikit-learnJSON LogsREST APIsSQLiteGenerative AILLM-based SolutionsAnomaly DetectionFeature ExtractionClassification
Projects
Placement Portal Application
Built a full-stack campus placement portal using Python, Flask, and SQLite with secure multi-role workflows for administrators, companies, and students. Implemented job posting, application tracking, company verification, and a modern user interface.