Amiya Lahiri

Dynamic Question Answer Generation:

• Developed an end-to-end dynamic question answering system using the Haystack Question Answering Pipeline Model, which improved accuracy by 20% compared to previous methods.
• Utilized natural language processing and machine learning techniques such as text preprocessing, passage retrieval, question parsing, and answer extraction to build an automated question-answering pipeline.
• Fine-tuned the Haystack model on domain-specific data to improve accuracy and relevance for specific use cases.

Student Recommendation:

• Developed student recommendation system using collaborative filtering techniques.
• Improved student engagement and academic performance.
• Customized system for specific learning styles and interests.

Integration of APIs using Django MVC Framework and AJAX:

• Integrated APIs using Django MVC Framework and AJAX, improving web application functionality and user experience.
• Developed scalable and efficient web applications that can communicate with external services and APIs.
• Improved web application responsiveness and interactivity using AJAX.

Automation of Question Generation using Google Form API and GCP authentication:

• Automated question generation using Google Form API and GCP authentication.
• Improved efficiency and accuracy in data collection and analysis.
• Developed custom solutions for specific use cases and domains.

Integration of the API in Django framework:

• Integrated APIs in Django framework to create scalable and efficient web applications.
• Improved web application functionality and user experience.
• Implemented custom solutions for specific business requirements.