Everything I've
built in public.

Portfolio website for Pavankumar Chilukoti — Data Scientist · AI/ML Engineer

Recommendation system demonstration for serko

Chrome Extension that automates LinkedIn referral outreach — discover employees, send connection requests with notes, follow up after acceptance

LinkedIn Easy Apply Bot - Chrome Extension with AI-powered form filling

Personal Website

Hybrid security log detection and analysis using LLMs, BERT, and regex. Web & CLI interfaces for advanced threat detection, root cause analysis, and actionable recommendations.

A minimalistic, privacy-focused goal tracking app with AI-powered insights, streaks, and daily reflections.

Sentiment analysis of IMDB movie reviews using both traditional machine learning (Naive Bayes) and transformer-based (DistilBERT) models, with EDA, evaluation, and an interactive Streamlit dashboard.

Polyglot LLM Translator is a professional multilingual translation web app built with Streamlit and Facebook's MBART-50 model. It allows users to translate text between 12 major languages, listen to translations using text-to-speech, and download results.

Full-stack real estate web application with role-based dashboards for Admin, Dealer, and Customer, built using React, Node.js, Express, and MongoDB

Sentiment analysis on IMDb movie reviews using fine-tuned BERT and Logistic Regression, with a live Streamlit web app demo.

AI-powered resume screening system with LLM-based ranking, bias evaluation, and an interactive Streamlit dashboard for fair and efficient candidate selection.

Predict student performance using linear, polynomial, regularized, and ensemble regression models. Features CLI support, SHAP visualizations, hyperparameter tuning, cross-validation, logging, and exportable plots

Exploratory Data Analysis and machine learning on the Titanic dataset, featuring data cleaning, advanced visualizations, feature engineering, and survival prediction.

Advanced Exploratory Data Analysis of Netflix Movies & TV Shows with interactive visualizations, temporal trends, and content insights. Includes Python code, static and interactive charts, and comprehensive findings.

Exploratory Data Analysis and Machine Learning on a Housing Dataset. Includes advanced preprocessing, feature engineering, statistical tests, regression models, and interactive visualizations.

A movie recommender system using Collaborative Filtering (User-Based, Item-Based, and Matrix Factorization) on the MovieLens 100k dataset. Includes a Streamlit web app and enriched recommendations with movie titles and genres.

Real-time sentiment analysis on IMDb movie reviews using Hugging Face transformers and Streamlit.

Image classification project using TensorFlow, featuring models for Dog vs Cat and CIFAR-10 datasets

Binary phishing detection using a zero-shot large language model (LLM) with Hugging Face Transformers and scikit-learn evaluation metrics

This repo is for my non profit organization module 2 lab

This repo is for Web Technology master's course