About Me
Pranathi Rallabandi
Hi! I am a passionate tech explorer, pursuing my studies in Computer Science and Engineering with a deep focus on AI/ML. I bridge the gap between complex algorithmic systems (like Graph Neural Networks) and production-ready full-stack applications.
Education
Bachelor of Technology in Computer Science & Engineering
Specialized in Artificial Intelligence and Machine Learning
NRI Institute of Technology | GPA: 9.0
Achievements & Certifications
- 2nd Prize – Innovarix, Ameya’25 (SRM University-AP) for Green Circuit
- Finalist – DataVortex SkyIntellect Hackfest 2025 (KL University) for MARG AI
- Udemy Certification: Full-Stack Web Development (HTML, CSS, JS, Node.js, React, PostgreSQL, Web3, DApps)
Technical Skills
Languages
AI / ML & Vision
Full-Stack & Cloud
Core & Other
Languages Spoken
Featured Projects
A selection of research innovations, full-stack systems, and AI modules.
GNN-Based Explainable Educational Recommendation System
Designed and implemented a knowledge graph-driven educational recommendation system integrating learner goals, concept relationships, and prerequisite/resource dependencies.
- Built a Graph Neural Network-based framework (GCN/GAT) to perform multi-hop reasoning on learner-resource graphs and generate personalized resource recommendations.
- Added an explainability layer for interpretable recommendation paths and a feedback-based graph update mechanism to continuously improve recommendation quality.
Say Whaat – Donation Tracking & Logistics Management
An end-to-end donation tracking and distribution platform featuring a React portal for donors/admins and a Flutter app for field staff, ensuring transparency from registration to delivery.
- Developed an offline face verification pipeline in the Flutter app using Google ML Kit and MobileFaceNet (TensorFlow Lite) for secure authentication in low-connectivity zones.
- Implemented NFC-based item tracking, AWS S3-backed delivery proofs, real-time push notifications, and verified proof-of-delivery workflows.
Frontier ESPI – Research Journal Management Portal
Built an end-to-end journal management system permitting authors to submit manuscripts and editors to manage submissions and peer review processes from a single dashboard.
- Integrated automated email notifications with Nodemailer to notify users of manuscript status updates instantly.
- Integrated Google Drive API for secure document storage and streamlined document flows for editors.
College Website Management System
Implemented a role-based content management system for administrators and department heads to manage events, notices, faculty profiles, galleries, and institutional info.
- Developed secure JWT authentication, cloud-based media handling with Cloudinary, and real-time updates.
- Created dedicated control panels optimized for department-level information distribution.
Smart Attendance System with Real-Time Face Recognition
Developed a real-time attendance tracking system using computer vision-based face recognition to automate student identification and attendance logging.
- Built recognition workflow with OpenCV and LBPHFaceRecognizer, covering dataset collection, training, live detection, and real-time marking.
- Designed a clean Tkinter GUI for admin registration and student attendance management, logged directly into CSV formats.