Gender Classification
Project Overview
The Gender Classification project uses machine learning and Natural Language Processing (NLP) techniques to predict the gender based on a person's name. The system analyzes a name's features to classify it as male, female, or non-binary.
Technologies Used
Machine Learning
Natural Language Processing (NLP)
Python (for backend) & JavaScript (for frontend)
Features
Predict gender based on a given name.
Uses a machine learning model trained on a large dataset of names and genders.
Improves prediction accuracy through continuous learning.
User-friendly interface for quick results.
Future Enhancements
Expand the model to support gender prediction in multiple languages.
Add an API for easy integration into other platforms or applications.
Implement real-time feedback to improve model accuracy.
AI-driven Company Registration Prediction
Project Overview
The AI-driven Company Registration Prediction tool helps entrepreneurs predict the likelihood of their company successfully registering with the Registrar of Companies. It analyzes historical data to offer actionable insights and suggestions.
Technologies Used
Machine Learning
Data Analytics
Python (for backend) & JavaScript (for frontend)
Features
Predicts the likelihood of successful company registration.
Analyzes factors like industry, location, business model, and past success rates.
Provides data-driven recommendations for business registration.
Easy-to-use interface for entrepreneurs to assess their business ideas.
Future Enhancements
Incorporate more factors for prediction, such as government policies and market conditions.
Provide customized reports and suggestions based on industry trends.
Integrate the prediction tool with company registration platforms for seamless use.
