RuzainiAhmedh

An evidence-oriented monitoring system that learns healthy pipeline behaviour, detects sudden and gradual deviations before resulting in severe damage/cost

• AutoEncoder
• FastAPI
• React
• Time-Series ML
• Domain-specifiML

A system for coordinating and tracking disaster response efforts.

• JavaScript

An end-to-end indoor sports court reservation platform with real-time booking, secure payments, and venue management.

• Next.js
• PostgreSQL
• Docker
• NextAuth.js
• REST API
• CI/CD

Face-recognition attendance & safety platform for group trips: voice, group-photo and self check-in, live roll-call, GPS SOS, multi-bus coordinators, and automatic parent SMS alerts.

• Next.js
• FastAPI
• DeepFace
• YuNet
• Gemini

Point it at a GitHub repo, a Markdown docs folder or an SRS PDF and ask detailed questions about it. RAG with structure-aware chunking, hybrid retrieval and voice answers.

• Python
• FastAPI
• LangChain
• RAG
• React
• Gemini

Agentic voice RAG assistant for Sri Lankan public services, answering in English, Sinhala and Tamil — with a real-time voice mode.

• FastAPI
• Gemini
• RAG
• Minilm

AI-powered telecom support agent providing instant agentic support

• FastAPI
• React
• FAISS
• Agentic
• MiniLM
• BM25

FastAPI microservice backend for a real-time flood monitoring and early warning system

• Python
• FastAPI
• XG Boost
• InfluxDB
• PostgreSQL
• Machine Learning

Automated call-center scheduling that models weekly rosters as a constraint-optimization problem, honoring staff requests fairly under hard rules.

• Python
• FastAPI
• OR-Tools
• React
• PostgreSQL
• TypeScript

A $0/month automated bot that detects batchmates' birthdays daily and posts a personalized photo flyer to Telegram and Discord — no manual steps.

• Python
• GitHub Actions
• OpenCV
• Automation
• Telegram API
• Discord API

A custom 4-bit NanoProcessor built from scratch in VHDL, with a custom ALU, IR, PC, and CU synthesized and deployed on a Basys 3 FPGA.

• VHDL
• FPGA
• Basys 3
• Xilinx Vivado

Ruzaini Ahmedh, Yohan Jayasinghe,Tharumini Gamage,Ifaz Ikram,Hasini Lawanya · Mercon 2026 · Jun 2026

A data analytics and forecasting framework that examines how climate variability and major disruptions influenced Sri Lanka's fisheries sector between 2019–2025. The project combines STL decomposition, Spearman lag correlation, ITS regression, SARIMAX forecasting, and hotspot detection to uncover patterns, predict production and prices, and support data-driven policy decisions.