Work
A selection of AI, machine learning, and research work — from case studies and RAG pipelines to market research reports.

Supervised ML model to detect insurance fraud using real-world data. Applied EDA, oversampling, feature engineering, and logistic regression.
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Semantic classification model to detect fake news using Word2Vec embeddings and supervised ML. Evaluated accuracy and precision across classifiers.
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Predicts lead conversion using logistic regression. Applied feature engineering and statistical tests to improve marketing outcomes and reduce sales effort.
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Analysed telecom user data to identify churn patterns. Derived insights to retain high-value customers and support data-driven retention strategies.
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Retrieval-Augmented Generation pipeline using OpenAI, LangChain, and FAISS. Enables accurate, source-grounded responses from legal text files.
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Item-based collaborative filtering augmented by sentiment analysis. Flask API with model artifacts and notebooks served via REST.
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Comprehensive analysis of the latest trends and innovations in Large Language Models across India in 2025. Covers adoption, key players, and sector impact.
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Analysed how generative AI tools like ChatGPT are disrupting traditional roles while creating new ones in India's evolving job landscape.
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Classic word guessing game built in pure Python. Features word selection, input validation, and ASCII hangman art for command-line play.
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A personality-based GPT chatbot designed to reflect my thoughts, language, and style. Will be hosted at rahulprakash.co.in/rahul-ai once completed.
Coming Soon