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hadiafifah/README.md

Screenshot 2025-10-17 at 1 33 16β€―PM

Hi there! πŸ‘‹ I'm Afifah 🌱


🌿 About Me

Hi! I’m Afifah β€” a rising Senior majoring in Computer Science at UC Davis, and an aspiring AI developer passionate about ethical technology, lifelong learning, and building impactful solutions. I love combining creativity with logic to bring ideas to life.

Right now, I’m deepening my skills in data science and hands-on machine learning. I’m actively seeking internship opportunities where I can apply what I’ve learned, take on real-world challenges, and grow alongside experienced professionalsβ€”if you know of any, I’d love to connect!


🎯 Featured Project: Salesforce Team 2A CRM AI Assistant

πŸ”— Link: [(https://github.com/ishween/Team2A)]

🧠 What We Did: Designed and built an AI powered CRM assistant for Salesforce sales teams that delivers predictive insights through natural language. Developed machine learning models for lead scoring, opportunity win prediction, and account health, then integrated them into a conversational interface to support real business decision making.
πŸ›  Tools Used: Python, scikit-learn, XGBoost, Pandas, Ollama, ChromaDB, SentenceTransformers, Gradio
πŸ“ˆ Results: Achieved over 95 percent model accuracy and led the team to be selected as one of three standout teams from a cohort of 900 fellows to present at Break Through Tech’s first public AI Open Studio showcase.


🎯 Featured Project: ECS 174 Computer Vision Emotion Detector

πŸ”— Link: [(https://github.com/hadiafifah/ECS174-FinalProject)]

🧠 What We Did: Built an end to end facial emotion recognition system using convolutional neural networks. Processed and trained on grayscale facial expression datasets, implemented real time face detection, and classified emotional states from live or static images.
πŸ›  Tools Used: Python, PyTorch, Mini Xception CNN, MediaPipe, OpenCV
πŸ“ˆ Results: Successfully deployed a real time emotion detection pipeline with strong classification performance across multiple facial expressions under varying lighting and pose conditions.


🎯 Featured Project: HackDavis Admin Portal

πŸ”— Link: [(https://github.com/HackDavis/admissions-portal)]

🧠 What We Did: Led development of a full stack administrative portal used by HackDavis organizers to review, filter, and manage thousands of hacker applications. Designed scalable filtering workflows, role based access, and data driven review tools while using AI assisted development to accelerate feature delivery and debugging.
πŸ›  Tools Used: Next.js, TypeScript, Node.js, MongoDB, React, GitHub Copilot, ChatGPT
πŸ“ˆ Results: Enabled faster and more structured applicant review for one of the largest student run hackathons at UC Davis while serving as Tech Director and coordinating cross functional development.


🎯 Featured Project: Blade of Oneiros

πŸ”— Link: [(https://github.com/ethanloinguyen/Blade-of-Oneiros)]

🧠 What We Did: Developed a top down 2D action RPG with puzzle mechanics as part of a gameplay programming course. Implemented dialogue systems, enemy behavior, cutscenes, asset pipelines, and build management while collaborating in a multi branch Git workflow.
πŸ›  Tools Used: Godot 4, GDScript, Git, Itch.io Web Export
πŸ“ˆ Results: Delivered a fully playable web build and managed release workflows, laying the foundation for potential post course expansion and public distribution.


πŸ› οΈ Tech Stack

Languages: Python, Java, TypeScript, JavaScript, C++, Go
Data Science & ML: pandas, NumPy, scikit-learn, XGBoost, PyTorch
AI & NLP: Ollama, SentenceTransformers, ChromaDB, Prompt Engineering
Web Development: HTML, CSS, React, Next.js, Node.js
Databases: SQL, MySQL, MongoDB
Tools & Platforms: Git, GitHub, Jupyter Notebooks, Google Colab, Gradio, Godot


πŸ“« Contact Me

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