🔍 Multimodal Deepfake Detection System

Objective: Detect face-swap deepfake videos using a multimodal approach.

Techniques:
• CNNs for spatial feature extraction
• RNNs (LSTMs) for temporal sequence modeling
• GANs to ensure adversarial robustness

My Role:
• Dataset collection and video preprocessing
• Performed video scaling, normalization, face/landmark detection, frame extraction, and data augmentation

Technologies: Python, TensorFlow, Keras, OpenCV, CNN, LSTM, GAN

View on GitHub

🤖 Virtual Personal Assistant – Zahra

Objective: Create a voice-enabled assistant capable of automation and intelligent responses.

Features:
• Speech recognition
• Sentiment analysis
• Wikipedia summarization
• Movie recommendations
• NLP-based question answering system

Technologies: Python, NLTK, SpaCy, TensorFlow, SpeechRecognition API, Tkinter, PyAudio

View on GitHub

🏨 Hotel Management System

Objective: Design a desktop application for managing hotel bookings and customers.

Highlights:
• GUI for room availability, reservations, check-ins, and check-outs
• MySQL integration with CRUD functionality

Technologies: Python (Tkinter), MySQL, mysql-connector

View on GitHub

💬 Sentiment Analysis Project

Objective: Analyze and classify user comments into Positive, Negative, or Neutral sentiments.

Work Done:
• Data preprocessing and text tokenization
• Sentiment classification using VADER
• Visualized results using Matplotlib and Seaborn

Tools: Python, NLTK, Pandas, VADER, Matplotlib, Seaborn

View on GitHub