Artificial Intelligence (AI) Part Time Internship

Selected intern's day-to-day responsibilities include:

I. Inputs: Use Tkinter to build a 2-page interface to take feeds from images, videos and live feeds

II. Outputs:
1. Disguised Face Recognition Module:
a. Utilize an existing, pre-built module for facial recognition from open-source GitHub repositories
b. Focus on fine-tuning the module to enhance its performance in recognizing disguised faces
c. Conduct extensive testing to validate the effectiveness of the fine-tuned model under various scenarios

2. Detection of Person in Crowd Module:
a. Explore existing open-source solutions for person detection in crowded environments
b. Integrate suitable algorithms and libraries to accurately detect and track individuals within crowds

3. Unique Identification of Person Module:
a. Leverage open-source facial recognition libraries and frameworks to develop a module for unique identification of individuals
b. Implement algorithms for generating and managing unique identifiers for each person detected
c. Ensure compatibility with common database systems for storing and retrieving identification data

4. Alert/Notification Module for Terrorist Detection:
a. Research and integrate open-source solutions for behavior analysis and threat detection with limited terrorist database and identify, if detected

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