Rajhans Bagri
Aspiring AI Engineer | Generative AI | Machine Learning
I'm a final-year B.Tech Computer Science (AI) student passionate about building intelligent AI applications using Machine Learning, NLP, and Generative AI. I enjoy transforming ideas into practical solutions and have developed end-to-end projects using LangChain, LangGraph, RAG, vector databases, and open-source LLMs. My flagship project, TubeMentor AI, enables users to ask questions about YouTube videos through a Retrieval-Augmented Generation pipeline. I'm continuously learning, experimenting with new AI technologies, and working toward becoming an AI Engineer who builds scalable, real-world AI products.
Skills
Projects
TubeMentor AI
Engineered a RAG-based AI assistant that lets users chat with YouTube videos by extracting transcripts and retrieving relevant information from video content. Developed the application with support for conversational memory and multilingual transcripts. Enabled users to quickly understand long videos through context-aware Q&A and video summarization in a simple web interface.
IntelliGuard AI
Developed an intelligent face-recognition-based intruder detection system that detects and recognizes faces in real time using OpenCV (Haar Cascade + LBPH) and compares them with a trained dataset. Triggered automated actions such as door access, buzzer alerts, and LED indications; currently upgrading from Arduino to ESP32 for IoT-enabled wireless communication and remote monitoring.
CineSent AI – IMDB Sentiment Analysis Web App
Built and deployed an IMDB movie review sentiment analysis web app achieving 89% accuracy using TF-IDF and Logistic Regression.
Heart Disease Prediction
Implemented an end-to-end heart disease risk prediction web app achieving 97% accuracy.
Other Projects
Mental Health Predictor, Tic-Tac-Toe, Rock Paper Scissors.
Experience
Edunet Foundation
Completed an internship on Artificial Intelligence and Data Analytics with a focus on Green Skills, organized by AICTE and Shell India Markets.
FUTURE INTERNS
Built a sales forecasting model for 3,000+ Rossmann stores using XGBoost, performing data preprocessing, feature engineering, and time-based analysis.
Certifications
Edunet Foundation Internship
Machine Learning Internship
Data Analytics Internship
GenAI Powered Data Analytics Job Simulation
Machine Learning Basics
Education
Gautam Buddha University
B.Tech, Computer Science & Engineering (Artificial Intelligence) •
K.K. Public School
XII (CBSE) •
78.4%
K.K. Public School
X (CBSE) •
73%
Achievements & Awards
Hackathon Participant
Ignition @GBU
Get in Touch
Interested in collaboration or just want to say hello? Feel free to reach out!