Embedded Files
LLM Memory Graph:
LLM Memory Graph:
Goal: Remove the need for context windows and reduce overall token usage by traversing a memory graph to pull the appropriate context
Languages: Javascript, Python, Bash
IDE: Visual Studio Code
Framework: FastAPI, React, Vite, Uvicorn
Libraries: Ollama, Pydantic, ChromaDB, NetworkX, Requests, Axios
Agentic Net:
Agentic Net:
Goal: Build an Agentic AI that can create, train, and run Neural Network Models
Language: Python
IDE: Visual Studio Code
Platform: Docker
Libraries: Ollama, Streamlit
Thyroid Cancer Prediction:
Thyroid Cancer Prediction:
Goal: Predict if a thyroid nodule is malignant or benign based of basic metrics to reduce the number of invasive procedures.
Language: Python
IDE: Google Colab
ML Algorithms: K-means, Random Forest, Neural Network
RLock:
RLock:
Goal: A home security application that uses Facial Recognition to fortify your home
Language: Python
IDE: Visual Studio Code
RLock.mpg
Navigation Simulation Comparison:
Navigation Simulation Comparison:
Goal: Work with the Goose Dataset to compare segmentation models for Robotic Autonomous Navigation
Language: Python
IDE: Visual Studio Code
Models: PointNet++, RF Classifier
Drowning Detection:
Drowning Detection:
Goal: Use Machine Learning to detect drowning within a pool
Language: Python
IDE: Google Colab, Visual Studio Code
ML Algorithm: Classification
Spotify Wrapped App:
Spotify Wrapped App:
Goal: Build an app that works with the Spotify API to provide a user with information from their Spotify Wrapped before the yearly release
Languages: Java, Kotlin
IDE: Android Studio
Database: Firebase
API: Spotify
Scheduler App:
Scheduler App:
Goal: Build a simple scheduling app on Android Studio to learn more about app Development
Languages: Java, Kotlin
IDE: Android Studio
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