AI-Powered Employability Evaluator 🎯

The AI-Powered Employability Evaluator is a Gradio web application that uses machine learning to predict whether a student is employable based on their skill ratings. It utilizes a Perceptron model trained on a dataset of student employability factors. By entering personal information and rating various skills, users can instantly get an evaluation of their employability status.

Features ✨

• Skill Evaluation: Rate skills on a scale from 1 to 5.
• Employability Prediction: Get a personalized result on whether you are employable based on your skill ratings.
• Interactive Interface: A simple, easy-to-use interface powered by Gradio.
• Instant Feedback: Receive an immediate employability prediction after entering your data.

How It Works 🔄

1. Data Input:
   • Users input their name and rate various skills using sliders (from 1 to 5).
2. Prediction:
   • The model processes the entered data and predicts employability using a trained Perceptron model.
3. Output:
   • A message is displayed based on the model’s prediction, informing the user if they are employable or need to improve.
4. Employment Evaluation:
   • The model is based on the Student-Employability-Datasets (1).xlsx, a dataset containing student ratings across various skills and employability outcomes.

Technologies Used ⚙️

• Gradio: For building the interactive web application interface.
• Scikit-learn: For the machine learning model (Perceptron).
• Pandas: For data handling and processing.
• NumPy: For array manipulation.

Dataset Explanation 📊

The Student-Employability-Datasets (1).xlsx contains data on students' skills and employability. This data is used to train the Perceptron model. The dataset includes the following columns:

• Various skill ratings for each student (on a scale from 1 to 5).
• The CLASS column, which indicates whether a student is Employable (1) or Not Employable (0).

Data Columns:

• The dataset consists of various columns representing different student ratings across skills such as communication, problem-solving, teamwork, etc.
• The target variable (CLASS) is used to train the model, where 'Employable' students are labeled as 1, and 'Not Employable' students are labeled as 0.

Inputs 💬

• Name: Enter your name to personalize the feedback.
• Skill Ratings: Rate various skills from 1 (poor) to 5 (excellent) using sliders.

Outputs 📥

• Employability Result: A message telling you if you're employable or if you need to upgrade your skills.