Lokal.Ind Machine Learning Models

Welcome to the official repository of the Lokal.Ind Machine Learning Models project. This repository hosts the models developed for the Lokal.Ind E-Commerce Platform to enhance user experience through predictive text suggestions and personalized product recommendations.

Overview

Project Overview: This project encompasses the development and deployment of two primary machine learning models - a Next Word Prediction Model and a Recommender System. These models are integrated into the Lokal.Ind Android application to provide intelligent features that improve user engagement and satisfaction.

Features

Next Word Prediction Model

• Purpose: Enhance user experience by predicting the next word as they type, offering suggestions to complete their input quickly and accurately.
• Technology Stack: TensorFlow, Keras, NLTK, Pandas
• Training Data: Item name corpus of text data relevant to eCommerce and user interactions.
• Deployment: Integrated into the Android application and Cloud for real-time predictions.

Recommender System

• Purpose: Provide personalized product recommendations based on queries user and preferences.
• Technology Stack: Scikit-learn, Pandas, NumPy, TensorFlow
• Algorithms: Content-Based Filtering
• Training Data: User interaction data & product metadata.
• Deployment: Integrated into the Android application to display personalized recommendations on the home screen and queries search relevant with product item name.

Dependencies

• TensorFlow
• Keras
• Scikit-learn
• Pandas
• NumPy
• NLTK

Installation

Clone this repository to your local machine:

git clone https://github.com/C241-PS127/Machine-Learning.git