DEEP FAKE DETECTION SYSTEM

I developed an advanced Deepfake Detection System using a hybrid deep learning model to identify manipulated videos with high accuracy. The system is built on top of CNN and GRU layers, leveraging powerful architectures like DenseNet121, EfficientNet-B1, InceptionV3, and Xception.

🔹 Key Features:

✔️ Utilizes state-of-the-art deep learning models for enhanced detection.
✔️ Integrates CNN for feature extraction and GRU for temporal analysis of video frames.
✔️ Processes videos frame-by-frame to detect manipulated content effectively.
✔️ Designed for high accuracy and efficiency in deepfake identification.
✔️ Comes with a user-friendly UI interface for seamless interaction.

This project showcases my expertise in computer vision, deep learning, and AI-based video analysis while tackling the critical challenge of detecting synthetic media.

Read Research Paper

RESTURANT ORDERING & MANAGEMENT APP

A comprehensive food ordering and delivery application built using Android Studio, designed to enhance the user experience while streamlining restaurant operations.

🔹 Key Features:

✅ User-Friendly Customer App:
✔️ Smooth onboarding with user registration and login.
✔️ Intuitive UI to browse restaurant menus with detailed descriptions and pricing.
✔️ Cart functionality to add, review, and modify orders before checkout.
✔️ Integrated NextBillion Map service for accurate address input and efficient deliveries.
✔️ Real-time order tracking to keep customers informed.

✅ Efficient Admin Dashboard:
✔️ Secure login for restaurant owners and admins.
✔️ Order management system displaying unique order IDs, customer details, and order status updates.
✔️ Menu management with dynamic food item additions, modifications, and pricing updates.
✔️ Analytics and reporting for data-driven business decisions.

✅ Technology Stack:
✔️ Platform: Android (Built in Android Studio)
✔️ Frontend: Java (Android), XML (UI Design)
✔️ Backend: Laravel (PHP)
✔️ Database: MySQL
✔️ Tools & Services: XAMPP, Apache Server, NextBillion Map API

This app bridges the gap between customers and restaurants, ensuring a seamless, efficient, and secure food ordering experience.

See Project

FACIAL SPOOFING DETECTION USING CNN

🔹 Key Features:

✅ Advanced CNN Architectures:
✔️ Implemented and compared AlexNet, GoogleNet, and ResNet for facial spoof detection.
✔️ Achieved the highest accuracy with AlexNet, demonstrating its efficiency in detecting presentation attacks.

✅ Robust Dataset & Training:
✔️ Created a dataset with real and spoofed face images using diverse attack scenarios.
✔️ Applied data preprocessing, augmentation, and noise injection to enhance model generalization.
✔️ Split the dataset into training, validation, and testing sets for optimal performance evaluation.

✅ Liveness Detection & Real-Time Testing:
✔️ Designed a model to accurately classify live vs. spoofed faces.
✔️ Evaluated the model with a webcam-based real-time liveness detection system.

✅ Performance Evaluation:
✔️ Used metrics like Precision, Recall, F1-score, and AUC-ROC to assess model effectiveness.
✔️ Conducted a comparative study, identifying the best-performing CNN model.

✅ Technology Stack:
✔️ Deep Learning Frameworks: TensorFlow / PyTorch
✔️ Programming Language: Python
✔️ Models Used: AlexNet, GoogleNet, ResNet

This project significantly enhances biometric authentication security, reducing vulnerabilities in facial recognition systems by effectively detecting spoofing attempts.

See Research Paper

PHARMACY MANAGEMENT SYSTEM

🔹 Key Features:

✅ Inventory Management:
✔️ Tracks medicine stock levels, expiration dates, and batch details.
✔️ Alerts for low stock and expired medicines to prevent shortages and wastage.

✅ Sales & Billing System:
✔️ Generates automated invoices and bills for seamless transactions.
✔️ Supports customer purchase history tracking for better service.

✅ Prescription & Customer Management:
✔️ Maintains digital records of prescriptions and patient details.
✔️ Provides a searchable database for quick retrieval of past prescriptions.

✅ Database & Security:
✔️ Designed with efficient relational database models (ER diagrams, SQL queries).
✔️ Implements data validation and security measures to prevent unauthorized access.

✅ Technology Stack:
✔️ Database: MySQL / PostgreSQL
✔️ Backend: PHP / Python (Django, Flask)
✔️ Tools: XAMPP, phpMyAdmint

This system ensures efficient pharmacy operations, reduces manual errors, and enhances customer service by automating critical processes.

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Medium

I'm a Data Scientist and AI Engineer enthusiast who enjoys writing on Medium. I share my experience, insights and lessons to help others learn. As I continue to work in this field, I aim to help build a global community where enthusiasts join forces and engage in meaningful conversations.