SHAIK MUSAIB User

At Cognifyz Technologies, I built and compared machine learning models to predict restaurant ratings, and analyzed which features influenced the predictions.

I also developed a content-based restaurant recommendation engine that achieved 100% recall and 67% precision on sample user preferences. I built a cuisine classification model and used Folium maps to explore restaurant distribution across cities.

For my final-year project, I designed ClauseGuard Lite, an application that flags risky contract clauses and explains them in plain English. Its hybrid approach combines a rule-based risk knowledge base with LLM-generated explanations via the Groq API, while also working standalone without an API key.

I’m a final-year Computer Science Engineering (AI & ML) student at Osmania University, expected to graduate in 2027. I’ve also benchmarked five classification algorithms and identified SVM as the best-performing model based on accuracy.