CS student at Universitas Syiah Kuala, Banda Aceh.
I'm Muhammad Ikram Ramadhana Friyan — CS student at Universitas Syiah Kuala (Informatics, 2023). I work across web development, computer networking, data mining, machine learning & AI, and computer vision.
I've built finance web apps, explored data clustering & classification, worked with MikroTik for networking labs, studied computer vision (Viskom UAS), and built voice-based AI systems. On the side I run a TikTok affiliate account promoting everyday products.
Outside of code: football, movies, cryptography, and deep learning research.
AgroSense is an Agro-Environmental Prediction System that predicts whether crops are at risk of growth failure based on soil and environmental conditions. Built using a tuned Random Forest model (98.7% accuracy, 0.997 ROC-AUC) trained on a dataset of over 543,000 records, with FastAPI as the backend and Streamlit as the frontend.
An AI-powered insect identification system that classifies insect species from uploaded images using EfficientNet-B3, providing confidence scores for each prediction. Integrated with Gemini 2.5 Flash to generate detailed species information and insights, achieving up to 92.3% identification accuracy.
An AI-powered document question-answering platform that allows users to upload PDF, TXT, and Markdown files and interact with their content through natural language queries. Powered by Groq API and LLaMA 3.1, with TF-IDF-based retrieval and Firestore for document storage and management. Deployed on Vercel for seamless web access.
An AI-powered resume analysis platform that evaluates resumes using ATS scoring, skill gap analysis, keyword matching, and role recommendations. Powered by LLaMA 3.3 70B via Groq, it delivers actionable feedback and personalized improvement suggestions within seconds. Deployed on Vercel for seamless access.
Finance manager for students — log income & expenses by category, view monthly charts and summaries.
Daily budgeting tracker — enter income and expenses, see remaining balance, build a spending habit.
A multilingual speech-to-speech AI system designed to process code-switching conversations in Indonesian, English, and Arabic. The pipeline leverages Whisper Medium for speech recognition, Gemini 2.5 Flash for response generation, and Coqui TTS for natural speech synthesis, enabling seamless end-to-end voice interactions.
Managing the TikTok affiliate account @by_sya.co since January 2025, creating product-focused content in the fashion and lifestyle niche, including backpacks, tumblers, and everyday essentials. Grew the account to over 1,091 followers and 874.6K likes, with multiple videos reaching hundreds of thousands of views.
More projects, experiments, and coursework are available on my GitHub profile.
View all repositories on GitHub →Have questions about my background, projects, or potential collaborations? Chat with my AI assistant, trained to answer everything about my experience, skills, and work. Available in both English and Indonesian.
Halo! 👋 Saya AI assistant Ikram.
Tanya apa aja tentang skill, proyek, data mining, jaringan, atau peluang kolaborasi!
Open to internships, collaborations, and exciting opportunities. Feel free to reach out through any of the channels below.