Grace-Hephzibah

Grace Hephzibah M's repositories

Automate_Daily_Scripture_Portion

Bible Journey Notification: Embark on a Bible Journey with Daily WhatsApp Reminders Powered by Selenium!

Language:Python1 10

Bug-1-Algorithm

A GUI Robotics 🤖 Application with custom maze setting to execute Bug 1 Algorithm.

Language:Python1 10

Document-Scanner

This is a OPENCV Project that can scan your document

Language:Python1 10

Flappy-Bird

Reinforcement Learning (NEAT) integrated with a popular one button game - Flappy Bird

Language:Python1 20

A sleek Streamlit app for flower enthusiasts. With a choice between a custom-trained model and a fine-tuned ResNet50, users can effortlessly classify flowers—roses, daisies, dandelions, sunflowers, and tulips. Upload or pick random images to witness the magic of AI-driven classification.

Language:Jupyter Notebook1 30

I-Am-Rich

Learning Flutter: My first ever mobile application

Language:C++1 10

JDBCLearning

xyz

Language:Java100

LinearRegression

Collaborative work to learn streamlit and simple linear regression

Language:Jupyter Notebook1 10

Number-Plate-Detector

Unlocking the Road Ahead: The Ultimate License Plate Scanner Project with Haar-Cascade Technology!

Language:Python1 10

Tasty-Foods

Team: SolveAI -> Solo Project - SheBuilds Hackathon.

Language:Python1 10

BarcelonaRent-Predictor

Elevate your Barcelona rental experience with this project: a fusion of AI and user-friendly design, offering 98% accurate price predictions through a FastAPI-powered ML model and an engaging Streamlit frontend.

Language:Jupyter Notebook020

Console_SpeedTypingTest

Typing is a skill and the terminal is a tool. Both are developer's favourites. Here is a Console-Based application that tests your ability to type on the terminal.

Language:Python010

Emotion-Recognizer

Accurate 6-emotion detection from text (93% accuracy). Powered by GloVe embeddings and Bidirectional LSTM. Real-time predictions via Streamlit for rapid insights into sentiments.

Language:Jupyter Notebook010

monsters-rolodex

This application leverages React for UI rendering, incorporating asynchronous API calls to an internal database for fetching monster data. It features a dynamic search functionality, allowing users to filter monsters by names through a dedicated input field.

Language:JavaScript010