G Prajwal Priyadarshan — ML · DL

About

G Prajwal Priyadarshan

2nd-year AIE • Amrita Vishwa Vidyapeetham

I am an early-career builder and curious researcher focused on machine learning, deep learning, and web development. I build practical ML/DL solutions and small full-stack apps, and I contribute to research in wind forecasting and smart-grid cybersecurity. I prefer hands-on project work and enjoy translating research ideas into reproducible demos and Streamlit apps.

Education: B.Tech — Amrita Vishwa Vidyapeetham, Coimbatore (2nd year, 4th semester)
Interests: Wind power forecasting, smart grid cybersecurity, reinforcement learning, ML model deployment
Contact: prajwalpriyadarshan@gmail.com
Profiles: GitHub • LinkedIn

Soft skills & approach:

Curiosity • Research-oriented • Quick learner • Team player • Practical & reproducible experimentation

Skills

Tools and technologies I use

Python

ML, scripting, data pipelines

TensorFlow / PyTorch

Deep learning frameworks

Streamlit

Fast demos & prototypes

MongoDB

NoSQL & small full-stack apps

HTML · CSS · JS

Frontend & deployment

Embedded / C

Arduino Uno projects

Projects

Filter by category to explore — ML/DL, Web, Research, Embedded, Security

Fitness Management System

Full-stack gym management app using MongoDB, Flask/HTML/CSS/JS for member registration, schedules, and analytics.

MongoDBFlaskHTML/CSS/JS

GitHub

Wind Energy Prediction (DL)

Deep-learning forecasting model with a Streamlit prediction demo. Research focuses on short-term accuracy and uncertainty quantification.

DLStreamlitPython

Repo

Snake Game — Q-Learning

Reinforcement-learning agent trained using Q-Learning; includes reward design and gameplay visualizations (GIF).

Reinforcement LearningPython

GitHub

House Price Prediction (ADMM)

Experiment with ADMM for regression to improve generalization — includes comparison plots and metrics.

MLADMMPython

GitHub

Metagenomic Data Analysis

Bioinformatics ML pipeline for classification and feature selection; shares dataset and performance summary.

BioinformaticsML

GitHub

ARP Spoofing in LAN (Kali)

Security experiment documenting methodology, ethical considerations, and defensive measures.

CybersecurityKali

File Access Manager (C)

System-level project using POSIX syscalls to implement permission controls and logging.

CSystems

GitHub

Smart Grid Cybersecurity Research

Journal paper on cybersecurity of smart grids — includes MDPI publication link and contributions summary.

ResearchSecurity

Paper Repo

Burglar Alarm (Arduino Uno)

Prototype using PIR sensor, buzzer, and Arduino Uno. Circuit diagrams and code included.

ArduinoEmbedded

Repo

Popularity Prediction & Demand Forecaster

ML-based forecasting pipeline for product demand and popularity, with evaluation and visualization pages.

Time SeriesML

GitHub

Research & Publications

Selected papers and research outputs

Advancing Short-Term Wind Power Forecasting by AI-Driven Models

Conference/Journal • Year

A hybrid AI-driven approach to short-term wind forecasting that improves accuracy and quantifies uncertainty. Includes Streamlit demo and model comparisons.

View Paper Download PDF

Smart Grid Cybersecurity: Detection & Mitigation

MDPI Journal • Year

Journal paper investigating attack modes on BESS and smart-grid infrastructure, and proposing anomaly detection strategies combining ML and physics-based models.

View Paper Download PDF

Services

Student-friendly offerings — honest and small-scale

ML / DL Prototyping

Model prototyping, evaluation, and Streamlit demos for research or small product proofs.

Small Web Apps

Full-stack prototypes (Streamlit or Flask) and simple deployments to Vercel/Heroku/Netlify.

Research Assistance

Literature reviews, data analysis, experiment replication, and writing support for student-level research.

Contact

Available for small projects, collaborations, and research assistance

Email

prajwalpriyadarshan@gmail.com

Send Email