Projects
Farhan Sadeek
Projects
A collection of my work, including personal projects, hackathon winners, and open-source contributions.
SignifyAI
Winner - HackAI
February 2025
- Developed a real-time emotion detection system that parses the entire screen of a laptop and runs a machine learning model locally to predict emotions
- Implemented an assistive speech detection feature for individuals with speaking disabilities, enhancing accessibility and communication
- Achieved efficient machine learning inference by optimizing computational workflows, balancing algorithmic complexity with the limitations of embedded systems
Technologies:
Python
Machine Learning
Computer Vision
OpenCV
TensorFlow
Real-time Processing
Accessibility
QuantifyAI
Winner - 2nd place at SIAM2I Quantathon
April 2025
- Conducted a comprehensive analysis of financial data from 2007 to 2022, using data from 2007 to 2018 for training a predictive model and data from 2019 to 2022 for testing
- Developed and implemented a machine learning model to forecast stock prices, achieving a Sharpe ratio of 1.1, which indicates a significantly higher return per unit of risk compared to the S&P 500 benchmark
- Utilized Python libraries for data preprocessing, feature engineering, model training, evaluation, and generating detailed performance reports and visualizations
Technologies:
Python
Pandas
NumPy
Scikit-learn
TensorFlow
Matplotlib
Seaborn
Machine Learning
Financial Analysis
Empirica
Winner - 3rd place at CalHacks Regeneron
October 2025
- Transform biomedical PDFs into interactive knowledge graphs with AI-powered insights using per-PDF graph systems and dynamic graph merging
- Implemented RAG (Retrieval-Augmented Generation) system with document chunking, semantic indexing, and LLM-powered hypothesis generation via Anthropic Claude
- Built interactive 2D/3D force-directed graph visualizations with scispaCy-powered biomedical Named Entity Recognition and relationship extraction
- Developed conversational AI chat interface that allows users to query knowledge graphs with natural language, with all responses grounded in source documents
Technologies:
Python
React
TypeScript
FastAPI
PyMuPDF
scispaCy
NetworkX
sentence-transformers
Anthropic Claude
RAG
Tailwind CSS
react-force-graph
SQLite
Lava Payments
PillifyAI
Winner - Most Innovative at Make OHI/O
April 2025
- Designed and built an IoT-enabled automatic pill dispenser using Arduino and Raspberry Pi, with scheduling and reminder features for medication adherence
- Integrated sensors and actuators for precise dispensing, reducing errors by 80% compared to manual methods, and included a mobile app for remote monitoring
- Ensured security and reliability through encrypted communication and fail-safe mechanisms, promoting better health outcomes for users with chronic conditions
Technologies:
Arduino
Raspberry Pi
IoT
Python
Mobile Development
Embedded Systems
Hardware Integration
DataFest 2025
Finalist - Best Insight at DataFest 2025
April 2025
- Analyzed 194,685 commercial real estate lease transactions from Savills (2018-2024) using advanced clustering algorithms and strategic market segmentation techniques
- Implemented K-means clustering with silhouette analysis and PCA visualization to identify five distinct market segments with unique behavioral characteristics and resilience patterns
- Conducted multi-dimensional feature analysis using normalized z-scores, time-series analysis to track segment evolution and recovery patterns, and advanced visualizations including radar charts and PCA projections
- Developed a comprehensive framework for resource allocation, strategic positioning, and opportunity identification, translating complex data science into actionable strategies for stakeholders
Technologies:
R
Python
K-means Clustering
PCA
Silhouette Analysis
Time Series Analysis
Data Visualization
Statistical Modeling
Market Segmentation
MovieLens
Completed
September 2025
- Developed a comprehensive movie recommendation system using matrix factorization and neural collaborative filtering on the MovieLens dataset
- Implemented both PyTorch and from-scratch NumPy versions with user adaptation algorithms for personalized recommendations and cold-start handling
- Created an interactive Streamlit web application with real-time rating collection and recommendation generation using advanced embedding techniques
Technologies:
Python
PyTorch
NumPy
Pandas
Streamlit
Machine Learning
Neural Collaborative Filtering
Matrix Factorization
Divvy Bike Analysis
Completed
March 2025
- Built a complete Divvy bike-share analytics workflow in R, cleaning and unifying millions of ride records with tidyverse tooling
- Produced interactive Quarto dashboards to surface trends across ride types, rider segments, and station demand
- Deployed the site on Netlify so stakeholders can explore key metrics and download supporting visuals on demand
Technologies:
R
Tidyverse
Quarto
Data Analysis
Data Visualization
Netlify
Big Data
DiffSense
Completed
June 2025
- Developed a differential sensing system using Python and OpenCV to detect subtle changes in environmental data, such as temperature or motion variations
- Implemented machine learning algorithms for anomaly detection, achieving 95% accuracy in identifying irregularities in real-time data streams
- Created a user-friendly dashboard with Plotly for visualizing sensor data and alerts, enabling proactive monitoring and decision-making
Technologies:
Python
OpenCV
Plotly
Machine Learning
Anomaly Detection
Data Visualization
IoT
World Population Analysis
Completed
2022
- Developed a comprehensive data visualization website analyzing world population trends, density, growth rates, and economic indicators across different countries and continents
- Analyzed population density patterns, revealing that most countries regardless of location, income, or economic progress tend to have similar population densities ranging from 20 to 10,000 per square kilometer
- Examined population growth rates and economic progress, identifying correlations between income levels and growth patterns - developing countries show high growth rates while developed countries typically range between -1% and 1%
- Investigated lending categories (IDA vs IBRD) and their relationship to economic development, finding that most developing countries are in Africa and depend on IDA loans, while Europe is the most developed continent with minimal loan dependency
Technologies:
Data Visualization
Data Analysis
Web Development
Statistical Analysis
Population Studies
College Notes
In Progress
- Created detailed LaTeX notes for Physics, Math, and CS classes, including equations, diagrams, and code snippets for clarity
- Organized notes by semester and subject for easy reference, continuously updating them based on lectures
Technologies:
LaTeX
Documentation
Academic Writing
Personal Photography
In Progress
- Used a pre-built React template to efficiently create a dynamic portfolio website showcasing photography projects
- Integrated a user-friendly interface with smooth animations and a responsive design to attract and engage visitors effectively
Technologies:
React
Web Development
Responsive Design
Portfolio
GitHub Activity
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