Full Stack · AI/ML · Python · DSA
Final-year CSE student building full-stack web applications and practical AI/ML solutions with React, Node.js, Python and modern APIs.
1 $ whoami --dhriti
2 name: "Dhriti Yadav"
3 role: "Full Stack Developer & AI/ML"
4 education: "B.Tech CSE · UIT Prayagraj"
5 focus: "Web Development · AI/ML · DSA"
6 stack: "React · Node · Express · MongoDB · Python"
About
I'm a final-year CSE student at United Institute of Technology, Prayagraj, with a CGPA of 7.52. I primarily work on full-stack development using React, Node.js, Express, MongoDB and REST APIs.
I also work with Python and practical AI/ML workflows — Scikit-learn, NLP, TF-IDF and XGBoost. I've integrated the Google Gemini API into applications, and worked with computer vision tools such as OpenCV and MediaPipe.
I learn by building real projects: the Hyperlocal Festive-Aware Demand AI system, LearNova, Fake News Detector and Gesture Volume Control. Alongside that I practise DSA regularly, with 200+ problems solved across LeetCode and CodeChef. I'm also an IEEE member and have helped organize technical events including ENIGMA XII and ENIGMA XIII.
Focus areas: full stack development, AI/ML, Python and DSA.
Education
Affiliated to Dr. A.P.J. Abdul Kalam Technical University (AKTU). Currently in final year, maintaining a CGPA of 7.52.
Experience
Completed an online internship on Internet of Things (IoT), demonstrating practical implementation skills through the Edge AI Based Smart EV Charging Station Optimizer project.
Learned applied machine learning workflows — data preprocessing, text vectorization, model training and evaluation — and built a Fake News Detection app using Python, Scikit-learn and TF-IDF.
Completed training covering end-to-end full stack web development, strengthening skills across frontend and backend development.
Worked on a MERN-based code reviewer project — built React interfaces and Node.js/Express REST APIs with MongoDB for code submissions, and integrated the Google Gemini API in the backend to generate review feedback on submitted code.
Completed institutional training focused on Python programming fundamentals and problem-solving — covering core Python, data structures, OOP, and programming fundamentals.
Projects
AI-powered demand forecasting system designed to estimate product demand during festive seasons using historical trends and contextual retail data, helping small retailers make better inventory decisions.

MERN online learning platform where students can browse and enroll in courses and instructors can manage their content, built with React, Express REST APIs and MongoDB.

Controls system volume using hand gestures — no mouse, no keyboard — built with OpenCV and Mediapipe for real-time hand tracking.

ML-based fake news detection web app using Streamlit, Scikit-learn and a TF-IDF vectorizer to predict whether an article is real or fake.
Responsive system built with Flask, SQLite and Bootstrap 5 to manage books, borrowing, returns, donations and issued-book records.

2D combat game using Pygame, implementing OOP and custom physics.

Voice-activated virtual assistant using the Web Speech API to recognize voice commands and respond with synthesized speech.

Responsive 3D perspective image carousel with a smooth 360° auto-rotating animation and a glassmorphism UI.

Skills
Certifications
Winner, E-BOX Top Coders 2025–26.
200+ DSA problems solved across LeetCode & CodeChef.
Core Python fundamentals & problem solving.
Scikit-Learn based ML certification.
Digital Heroes — end-to-end full stack web development.
Collaborative development with Git.
NASSCOM certified — Data Analytics.
Contact
Open to internships, collaborations and interesting problems to solve.