LMS Projects Repository

Learning Management System (LMS)

Overview

This repository showcases personal Learning Management System (LMS) projects that I’ve designed and implemented individually using Data Science, Machine Learning, and Deep Learning frameworks. These projects highlight my ability to integrate web development, AI, and analytics to create interactive, intelligent learning platforms.

All projects here are fully independent and non-commercial, meant to demonstrate my technical skills, problem-solving capabilities, and creativity in building scalable applications.

Key Skills Demonstrated

Web Development: Building dynamic and responsive interfaces using Flask, Django, and React.
Machine Learning & AI: Implementing recommendation engines, personalized learning paths, and predictive analytics using Scikit-learn and TensorFlow.
Data Science: Designing data-driven insights to optimize learning outcomes through analytics, visualization, and performance tracking.
Deep Learning Frameworks: Leveraging advanced neural networks to enhance LMS functionality and user experience.
Database & Backend Management: Experience with PostgreSQL, MySQL, and scalable backend architectures.
Deployment & Scalability: Understanding of Docker, cloud platforms (AWS/GCP), and scalable system design.

Features

Interactive Learning Modules: Engaging, learner-focused content with AI-enhanced personalization.
Progress Tracking & Analytics: Insights into learner performance and engagement metrics.
AI-Powered Recommendations: Personalized course and material suggestions for optimal learning.
Scalable Architecture: Designed to grow with user demand and integrate additional features seamlessly.

Contact

Eric Mwaniki: [email protected]
Afelio Padilla: [email protected]

Acknowledgments

Thanks to Igniteus for their support. These projects are shared freely to showcase innovation, technical expertise, and the ability to develop intelligent web applications.

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Uh oh!

Repository files navigation

LMS Projects Repository

Learning Management System (LMS)

Overview

Key Skills Demonstrated

Features

Contact

Acknowledgments

About

Uh oh!

Releases

Packages

Languages

Name		Name	Last commit message	Last commit date
Latest commit History 160 Commits
1.1.1 Predicting Taxi Fare Prices		1.1.1 Predicting Taxi Fare Prices
1.1.2. House Price Prediction		1.1.2. House Price Prediction
1.1.3. Credit Scoring		1.1.3. Credit Scoring
2.7.2		2.7.2
2.7.4		2.7.4
Grant Proposal Pipeline AI Innovation		Grant Proposal Pipeline AI Innovation
P1P1		P1P1
P1P2		P1P2
P2P5		P2P5
1_1_10_Loan_Eligibility_Prediction_.ipynb		1_1_10_Loan_Eligibility_Prediction_.ipynb
1_1_12_Churn_Prediction_for_Telecom (1).ipynb		1_1_12_Churn_Prediction_for_Telecom (1).ipynb
1_1_13_Basketball_Player_Performance_Prediction.ipynb		1_1_13_Basketball_Player_Performance_Prediction.ipynb
1_1_14_b_Energy_Consumption_Forecasting_Starter_Kit (1).ipynb		1_1_14_b_Energy_Consumption_Forecasting_Starter_Kit (1).ipynb
1_1_15_Vehicle_Price_Prediction.ipynb		1_1_15_Vehicle_Price_Prediction.ipynb
1_1_1_Predicting_Taxi_Fare_Prices.ipynb		1_1_1_Predicting_Taxi_Fare_Prices.ipynb
1_1_2_House_Price_Prediction.ipynb		1_1_2_House_Price_Prediction.ipynb
1_1_3_Credit_Scoring.ipynb		1_1_3_Credit_Scoring.ipynb
1_1_5_Sales_Forecasting.ipynb		1_1_5_Sales_Forecasting.ipynb
1_1_6_Wine_Quality_Prediction_Starter_Kit_.ipynb		1_1_6_Wine_Quality_Prediction_Starter_Kit_.ipynb
1_1_7_b_Bank_Marketing_Campaign_Analysis_Starter_Kit (1).ipynb		1_1_7_b_Bank_Marketing_Campaign_Analysis_Starter_Kit (1).ipynb
1_1_8_b_Diabetes_Prediction.ipynb		1_1_8_b_Diabetes_Prediction.ipynb
1_1_9_Heart_Disease_Prediction.ipynb		1_1_9_Heart_Disease_Prediction.ipynb
1_2_11_Hospital_Readmission_Prediction_Techniques_Applied_to_Iris_Species_Dataset.ipynb		1_2_11_Hospital_Readmission_Prediction_Techniques_Applied_to_Iris_Species_Dataset.ipynb
1_2_14_Healthcare_Cost_Prediction.ipynb		1_2_14_Healthcare_Cost_Prediction.ipynb
1_2_6_Drug_Bioactivity_Prediction_Starter_Kit (1).ipynb		1_2_6_Drug_Bioactivity_Prediction_Starter_Kit (1).ipynb
1_2_Analyzing_resumes_in_pdf_format.ipynb		1_2_Analyzing_resumes_in_pdf_format.ipynb
1_3_10_Predicting_Customer_Spending.ipynb		1_3_10_Predicting_Customer_Spending.ipynb
1_3_14_Customer_Attrition_in_Services.ipynb		1_3_14_Customer_Attrition_in_Services.ipynb
1_3_1_Customer_Segmentation_in_Retail.ipynb		1_3_1_Customer_Segmentation_in_Retail.ipynb
1_3_2_Churn_Prediction.ipynb		1_3_2_Churn_Prediction.ipynb
1_3_3_Customer_Lifetime_Value_Prediction.ipynb		1_3_3_Customer_Lifetime_Value_Prediction.ipynb
1_3_4_Market_Basket_Analysis.ipynb		1_3_4_Market_Basket_Analysis.ipynb
1_3_7_Insurance_Customer_Segmentation.ipynb		1_3_7_Insurance_Customer_Segmentation.ipynb
1_4_13_Real_Estate_Price_Prediction.ipynb		1_4_13_Real_Estate_Price_Prediction.ipynb
1_4_1_b_Credit_Card_Fraud_Detection_Starter_Kit.ipynb		1_4_1_b_Credit_Card_Fraud_Detection_Starter_Kit.ipynb
1_4_5_Portfolio_Management.ipynb		1_4_5_Portfolio_Management.ipynb
1_4_8_Algorithmic_Trading.ipynb		1_4_8_Algorithmic_Trading.ipynb
1_5_11_High_Frequency_Trading_(HFT)_Strategy.ipynb		1_5_11_High_Frequency_Trading_(HFT)_Strategy.ipynb
1_5_14_Foreign_Exchange_(Forex)_Trading_Strategy.ipynb		1_5_14_Foreign_Exchange_(Forex)_Trading_Strategy.ipynb
1_5_2_Mean_Reversion_Strategy.ipynb		1_5_2_Mean_Reversion_Strategy.ipynb
1_5_3_Momentum_Trading_Strategy.ipynb		1_5_3_Momentum_Trading_Strategy.ipynb
1_5_6_Volume_Weighted_Average_Price_(VWAP)_Strategy (1).ipynb		1_5_6_Volume_Weighted_Average_Price_(VWAP)_Strategy (1).ipynb
2_3_11_License_Plate_Recognition.ipynb		2_3_11_License_Plate_Recognition.ipynb
2_3_13_Image_Inpainting (1).ipynb		2_3_13_Image_Inpainting (1).ipynb
2_3_3_Guide_for_Image_Colorization_Using_CNNs.ipynb		2_3_3_Guide_for_Image_Colorization_Using_CNNs.ipynb
2_3_6_Facial_Expression_Recognition.ipynb		2_3_6_Facial_Expression_Recognition.ipynb
2_5_11_Automatic_Text_Generation_Actual.ipynb		2_5_11_Automatic_Text_Generation_Actual.ipynb
2_5_12_Resume_Screening.ipynb		2_5_12_Resume_Screening.ipynb
2_5_13_Medical_Transcription_Analysis.ipynb		2_5_13_Medical_Transcription_Analysis.ipynb
2_5_2_Spam_Email_Detection.ipynb		2_5_2_Spam_Email_Detection.ipynb
2_5_3_Named_Entity_Recognition_(NER).ipynb		2_5_3_Named_Entity_Recognition_(NER).ipynb
2_5_4_Text_Summarization_using_Sequence_to_Sequence_Model_with_Exploratory_Data_Analysis.ipynb		2_5_4_Text_Summarization_using_Sequence_to_Sequence_Model_with_Exploratory_Data_Analysis.ipynb
2_5_5_Topic_Modeling_for_Research_Articles.ipynb		2_5_5_Topic_Modeling_for_Research_Articles.ipynb
2_5_6_Language_Detection.ipynb		2_5_6_Language_Detection.ipynb
2_5_7_Fake_News_Detection.ipynb		2_5_7_Fake_News_Detection.ipynb
2_5_8_Chatbot_development_Starter_Kit.ipynb		2_5_8_Chatbot_development_Starter_Kit.ipynb
2_5_9_Emotion_Detection_in_Text.ipynb		2_5_9_Emotion_Detection_in_Text.ipynb
2_6_10_Crime_Hotspot_Prediction.ipynb		2_6_10_Crime_Hotspot_Prediction.ipynb
2_6_11_Optimizing_Emergency_Response_Routes.ipynb		2_6_11_Optimizing_Emergency_Response_Routes.ipynb
2_6_12_Wildlife_Habitat_Suitability_Modeling.ipynb		2_6_12_Wildlife_Habitat_Suitability_Modeling.ipynb
2_6_13_Solar_Energy_Potential_Mapping.ipynb		2_6_13_Solar_Energy_Potential_Mapping.ipynb
2_6_14_Water_Quality_Monitoring.ipynb		2_6_14_Water_Quality_Monitoring.ipynb
2_6_15_Agricultural_Crop_Yield_Predicti.ipynb		2_6_15_Agricultural_Crop_Yield_Predicti.ipynb
2_6_1_Land_use_classification.ipynb		2_6_1_Land_use_classification.ipynb
2_6_2_Geographic_Change_Detection.ipynb		2_6_2_Geographic_Change_Detection.ipynb
2_6_3_Enhancing_Satellite_Images.ipynb		2_6_3_Enhancing_Satellite_Images.ipynb
2_6_4_Modeling_Bike_Rides_Request.ipynb		2_6_4_Modeling_Bike_Rides_Request.ipynb
2_6_5_Transport_Demand_Modeling.ipynb		2_6_5_Transport_Demand_Modeling.ipynb
2_6_6_Predictive_Maintenance_of_Urban_Infrastructure.ipynb		2_6_6_Predictive_Maintenance_of_Urban_Infrastructure.ipynb
2_6_7_Urban_Heat_Island_Effect_Analysis.ipynb		2_6_7_Urban_Heat_Island_Effect_Analysis.ipynb
2_6_8_Flood_Risk_Prediction.ipynb		2_6_8_Flood_Risk_Prediction.ipynb
2_6_9_Air_Quality_Prediction.ipynb		2_6_9_Air_Quality_Prediction.ipynb
2_7_10_Texture_Synthesis_using_Markovian_GANs.ipynb		2_7_10_Texture_Synthesis_using_Markovian_GANs.ipynb
2_7_11_Pixel_Level_Domain_Transfer_using_GANs.ipynb		2_7_11_Pixel_Level_Domain_Transfer_using_GANs.ipynb
2_7_1_Generate_Anime_Characters_using_GANs_.ipynb		2_7_1_Generate_Anime_Characters_using_GANs_.ipynb
2_7_2_Generate_Fake_Human_Faces_using_DCGANs_for_Data_Augmentation.ipynb		2_7_2_Generate_Fake_Human_Faces_using_DCGANs_for_Data_Augmentation.ipynb
2_7_3_Abstractive_Text_Summarization_using_BART.ipynb		2_7_3_Abstractive_Text_Summarization_using_BART.ipynb
2_7_4_Semi_Supervised_GAN_(SGAN)_using_MNIST_dataset.ipynb		2_7_4_Semi_Supervised_GAN_(SGAN)_using_MNIST_dataset.ipynb
2_7_5_Image_to_Image_Translation_using_Cycle_Consistent_Adversarial_Networks.ipynb		2_7_5_Image_to_Image_Translation_using_Cycle_Consistent_Adversarial_Networks.ipynb
2_7_6_Generate_3D_Shapes_using_GANs (1).ipynb		2_7_6_Generate_3D_Shapes_using_GANs (1).ipynb
2_7_7_Age_Progression_Regression_using_Conditional_GANs.ipynb		2_7_7_Age_Progression_Regression_using_Conditional_GANs.ipynb
2_7_8_Image_Denoising_using_Conditional_GANs.ipynb		2_7_8_Image_Denoising_using_Conditional_GANs.ipynb
2_7_9_Unpaired_Image_to_Image_Translation_using_GANs.ipynb		2_7_9_Unpaired_Image_to_Image_Translation_using_GANs.ipynb
2_8_10_Synthetic_Corporate_Action_Data.ipynb		2_8_10_Synthetic_Corporate_Action_Data.ipynb
2_8_12_Synthetic_Insurance_Claim_Data.ipynb		2_8_12_Synthetic_Insurance_Claim_Data.ipynb
2_8_15_Synthetic_Financial_Sentiment_Data.ipynb		2_8_15_Synthetic_Financial_Sentiment_Data.ipynb
2_8_1_Stock_Price_Prediction_using_Time_Series_GANs.ipynb		2_8_1_Stock_Price_Prediction_using_Time_Series_GANs.ipynb
2_8_3_Fraud_Detection_using_Anomaly_Detection_GANs.ipynb		2_8_3_Fraud_Detection_using_Anomaly_Detection_GANs.ipynb
2_8_4_Synthetic_Credit_Risk_Scoring.ipynb		2_8_4_Synthetic_Credit_Risk_Scoring.ipynb
2_8_5_Portfolio_Optimization_with_Synthetic_Asset_Returns.ipynb		2_8_5_Portfolio_Optimization_with_Synthetic_Asset_Returns.ipynb
2_8_6_Synthetic_Trading_Data_Generation.ipynb		2_8_6_Synthetic_Trading_Data_Generation.ipynb
2_8_8_Synthetic_Customer_Transaction_Data.ipynb		2_8_8_Synthetic_Customer_Transaction_Data.ipynb
AI_Powered_Semantic_Analyzer_for_Spiritual_Experiences.ipynb		AI_Powered_Semantic_Analyzer_for_Spiritual_Experiences.ipynb
Ads_csv.ipynb		Ads_csv.ipynb
Adult_data_csv.ipynb		Adult_data_csv.ipynb
Adult_test_csv.ipynb		Adult_test_csv.ipynb
Adult_train_csv_.ipynb		Adult_train_csv_.ipynb
Analyzing_resumes_in_pdf_format.ipynb		Analyzing_resumes_in_pdf_format.ipynb
Automated_Literature_Review_System_(AI,_Difficulty_8_10).ipynb		Automated_Literature_Review_System_(AI,_Difficulty_8_10).ipynb
BERT_for_SA.ipynb		BERT_for_SA.ipynb

Eric428-a/Learning-Management-System-files-via-upload-

Folders and files

Latest commit

History

Repository files navigation

LMS Projects Repository

Learning Management System (LMS)

Overview

Key Skills Demonstrated

Features

Contact

Acknowledgments

About

Resources

Uh oh!

Stars

Watchers

Forks

Releases

Packages 0

Languages

Packages