⭐ Featured Project
🧠 Mental Health Mood Tracker AI
AI-powered mental health journaling platform that detects emotions, tracks mood patterns, analyzes emotional intensity, and provides personalized wellness recommendations.
Aspiring AI Engineer | Generative AI Enthusiast
Building intelligent AI applications using Machine Learning, Deep Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI Systems, and Multimodal AI.
AI Projects
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I am an aspiring AI Engineer currently pursuing B.Tech in Computer Science & Engineering (Data Science) and entering my final year. My interests span Machine Learning, Deep Learning, Natural Language Processing, Generative AI, Retrieval-Augmented Generation (RAG), AI Agents and Multimodal AI Systems. I enjoy building intelligent products, deploying real-world AI applications, and continuously learning emerging technologies that solve meaningful problems.
LLM-powered applications and AI assistants.
Document-aware AI using retrieval pipelines.
Autonomous workflows and agentic systems.
Image + text understanding applications.
AI-powered mental health journaling platform that detects emotions, tracks mood patterns, analyzes emotional intensity, and provides personalized wellness recommendations.
AI-powered learning assistant that summarizes documents, explains concepts, and provides interactive learning support.
Retrieval-Augmented Generation system combining vector search, embeddings, and LLM reasoning for document-based question answering.
Multimodal AI system capable of understanding images and text simultaneously and generating intelligent responses.
Generates AI project ideas, implementation roadmaps, architecture suggestions, and development plans.
Machine Learning application that predicts student performance using educational and demographic features.
Restaurant review sentiment classification using TF-IDF, feature engineering, and Logistic Regression.
Worked on Machine Learning and Data Science workflows, including data preprocessing, exploratory data analysis, feature engineering, predictive modeling, and performance evaluation.
Conducted customer churn analysis, exploratory data analysis, predictive modeling, and business insight generation using real-world datasets and machine learning techniques.
📧 Email: shalinisourav07@gmail.com
💻 GitHub: github.com/SHALINISAURAV
🔗 LinkedIn: linkedin.com/in/shalini-saurav-649aa22b8