Task Submission - DAS001436 - Recommendation Engine

Task Submission: Recommendation Engine

Student: Lottapalli Tejaswini (DAS001436)

Domain: AI & Data Science

Internship ID: 40

Project Overview

Task Title: Recommendation Engine

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

Domain Summary

Project Title

AI Internship Recommendation Engine Using Machine Learning

Project Description

This project is an AI-based Internship Recommendation System developed using Python and Machine Learning. It recommends suitable internships to students by analyzing their skills and matching them with internship requirements.

The system uses three recommendation techniques:

Collaborative Filtering

Content-Based Filtering

Hybrid Recommendation

The project helps students identify the most relevant internship opportunities based on their profiles, improving the internship selection process.

Technologies Used

Python

Pandas

NumPy

Scikit-learn

Features

Student Profile Management

Internship Recommendation

Skill-Based Matching

Recommendation Score Generation

Hybrid Recommendation System

Project Outcome

The system successfully generates personalized internship recommendations for students based on their skills and interests, making the internship search process more efficient and accurate.

This description is suitable for internship project submission.

Technologies Used

Python, Pandas, NumPy, Scikit-learn, Jupyter, TensorFlow

How I Completed This Task

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

Outcome

The task was completed successfully with all requirements met.