Sabeeh Abid

TECHNICAL SKILLS

• AI/ML:

TensorFlow, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn

• Web Development:

Django, Flask, HTML/CSS, JavaScript, SQL

• Data Analysis:

Predictive Modeling, Data Visualization

• Tools:

Git, VS Code, Jupyter, MySQL

PROJECTS

FitDiet AI - Personalized Health Platform

🔗 Live Demo 🔗 Showcase

• Developed AI-powered diet planning with machine learning algorithms
• Full-stack Django application with responsive design

AI Job Candidate Screening System

🔗 Demo

• Built intelligent screening with ML models (Logistic Regression, KNN, Decision Tree)
• Real-time analytics dashboard with performance tracking

Complaint Manager - Society System

🔗 GitHub

• Full-stack Django app with dual authentication system
• Advanced search and real-time status management

MusicAI - Data Module

🔗 GitHub 🔗 Demo

• Developed data module for MusicAI project, managing raw audio files and metadata
• Implemented preprocessing scripts for feature extraction and dataset organization

Event Registration System (Backend)

🔗 GitHub

• Built backend service for event management and user registrations
• Implemented RESTful APIs with CRUD operations and validation logic

Data Analytics

🔗 GitHub

• CodeAlpha Data Analytics project featuring Data Visualization and Sentiment Analysis tasks
• Demonstrated data exploration, visualization skills, and NLP techniques

Emotion Recognition

🔗 GitHub

• Machine learning system for detecting and classifying human emotions from facial expressions, speech, or text
• Part of CodeAlpha Machine Learning tasks, featuring data preprocessing, model training, evaluation, and inference interface
• Technology Stack: Python, scikit-learn, TensorFlow, numpy, pandas, OpenCV, matplotlib, seaborn

Python-based Image Organizer & Enhancer

🔗 Demo Video 🔗 Full Details

• Desktop application built with Python’s Tkinter library for managing and enhancing photo collections
• Features wizard-style workflow for selecting folders, choosing enhancement options (timeline organization, face grouping, AI enhancement), processing, and reviewing results
• Includes file system management, external script integration via subprocess, and robust error handling
• Technology Stack: Python, Tkinter, subprocess, OS/file handling

SABEEH ABID

PROFESSIONAL SUMMARY

TECHNICAL SKILLS

• AI/ML:

• Web Development:

• Data Analysis:

• Tools:

EDUCATION

BSc Artificial Intelligence

PROJECTS

FitDiet AI - Personalized Health Platform

AI Job Candidate Screening System

Complaint Manager - Society System

MusicAI - Data Module

Event Registration System (Backend)

Data Analytics

Emotion Recognition

Python-based Image Organizer & Enhancer

CERTIFICATIONS 📜

Python Programming Internship with Letter of Recommendation