Task Submission - DAS003088 - Recommendation Engine

Task Submission: Recommendation Engine

Student: Supraja Sreshta Gummadi (DAS003088)

Domain: AI & Data Science

Internship ID: 809

Project Overview

Task Title: Recommendation Engine

Description: Create a recommendation engine for internship suggestions, project recommendations, and learning resources.

Developed an AI-based recommendation engine that suggests suitable internships based on student skills, interests, and profiles using machine learning recommendation techniques.

Domain Summary

This project belongs to the AI & Data Science domain and focuses on building a personalized recommendation system using data processing, machine learning algorithms, and recommendation methods.

Technologies Used

• Python
• Pandas
• NumPy
• Scikit-learn
• Machine Learning
• Content-Based Filtering
• Collaborative Filtering

How I Completed This Task

I completed this task by collecting and processing student and internship data, implementing content-based and collaborative filtering techniques, and combining them into a hybrid recommendation system. I also evaluated the recommendation performance using Precision, Recall, and RMSE metrics.

I completed this task by following the project requirements and implementing the necessary features.

Outcome

The task was completed successfully with all major requirements implemented. The final system generates personalized internship recommendations and demonstrates the use of AI and machine learning for intelligent decision-making.

The task was completed successfully with all requirements met.