Bahria University Libraries: Recent submissions

  • Onion Privacy Gaurd 
    Muhammad Mahad Siddiqui, 01-135221-027; Faizan Jawad Ahmed, 01-135221-097 (Computer Sciences, 2025)
    Onion Routing (OR) is a method that makes the communication private and secure via the internet. This project will focus on creating a system where people can send anonymity of data via a set of special computers known as ...
  • Wheel Share App 
    Izzah Malik, 01-135211-039; Umair Khan, 01-135212-096 (Computer Sciences, 2025)
    Wheel Share is a Flutter-based ride-sharing program that links drivers and riders going to comparable locations. It is powered by Supabase (PostgreSQL). Through shared trips, it encourages economical, convenient, and ...
  • AI-Powered Chatbot for Mental Health 
    Muhammad Eatisam Sadiq, 01-135221-032 (Computer Sciences, 2025)
    Mental health is one of the critical problems globally that is impeded by concerns of stigma, price, and accessibility. Although AI-driven chatbots are a promising solution, most current platforms are based on cloud-based ...
  • Skin Sage:An AI-Based Skincare Recommendation Mobile Application 
    Aleeha Amir, 01-135221-005; Lyba Imtiaz, 01-135221-024 (Computer Sciences, 2025)
    SkinSage addresses a critical challenge in the beauty and skincare industry, helping users find products that are personalized, effective, and suitable for their unique skin tones and types. With the rise of online shopping, ...
  • AI-Powered Multi-Platform Management & Insights 
    Muhammad Umair, 01-135221-039; Esha Zafar, 01-135221-144 (Computer Sciences, 2025)
    In the fast-moving digital age, social media is now a vital instrument for communication and branding, as well as user engagement. Entities and thought leaders with multiple accounts across the likes of Facebook, Instagram, ...
  • Digital Voting System 
    Muhammad Hasnain Mujtaba, 01-135221-071; Raja Shahzaib, 01-135221-115 (Computer Sciences, 2025)
    The Secure Biometric-Based Online Voting System proposed in this project addresses the main limitations of Pakistan’s traditional paper-based electoral process, including identity fraud, ballot manipulation, manual counting ...
  • Optic Pro: AI-Powered Retinal Disease Detection System 
    Muhammad Haris, 01-135221-033; Suhayb Saleem, 01-135221-050 (Computer Sciences, 2025)
    OptiPro represents a comprehensive web based explainable artificial intelligence platform de signed for automated retinal disease analysis and enhanced clinician workflow support. Our system integrates a ResNet 101 ...
  • Face Care AI Facial Skin Disease Detection and Localization using Deep Learning 
    Moiz Shahid, 01-135221-028; Zoha Tahir, 01-135221-185 (Computer Sciences, 2025)
    Skin diseases plague a large segment of the global community and usually need a lot of care and personal attention. This project introduces a web-based Facial Skin Disease Detection and Skincare Recommendation System which ...
  • Fact Checkr 
    Muhammad Hassan Naveed Baig, 01-135221-034; Affan Siddiqui, 01-135221-089 (Computer Sciences, 2025)
    Here is the Abstract for your Final Year Project documentation, synthe sized from the information provided in your uploaded file. Abstract These are the Abstract of your Final Year Project documentation, which has been ...
  • Custom-Built Intranet System 
    Waleed Mustafa, 01-135221-084; Muhammad Usman, 01-135221-075 (Computer Sciences, 2025)
    The Custom-Built Intranet System is an intelligent, centralized and secure internal platform, which is created to facilitate communication, workflow operations, document operation and organizational functions. Fragmentation ...
  • A Smart Detection App for Visually Impaired Users with Voice Feedback 
    Muhammad Arslan Nawaz, 01-135212-050; Muhammad Younas, 01-135212-073 (Computer Sciences, 2025)
    Visually impaired people often face difficulty in navigation and daily tasks, especially when it comes to identifying surrounding objects or recognizing currency denominations. A smart detection app is designed for visually ...
  • BoG Meeting Held at Bahria University 
    Bahria University Head Office (Express Urdu Islamabad, 2026-08-18)
  • A Computational Model for Identifying Antigenic Proteins using Deep Learning 
    Zulnoon, 01-135212-103; Attaullah Khan, 01-135211-107 (Computer Sciences, 2025)
    Accurately identifying antigenic proteins is essential to immunology and vaccine development. Experimental laboratory methods are accurate but costly, time-consuming, and resource-intensive. Computational methods, particularly ...
  • AI-Based Student Stress Management System 
    Sana Zia, 01-135221-116; Asad Ali Khan, 01-135221-094 (Computer Sciences, 2025)
    Stress, anxiety, and depression are some of the mental health issues that are increasingly becoming common among university students and usually, they go unaddressed either because of social barriers or lack of support. ...
  • Product Price Tracker for Multivendor Marketplaces 
    Mateeh Ullah Abbasi, 01-135221-066; Farhan Tariq, 01-135221-013 (Computer Sciences, 2025)
    In the evolving landscape of e-commerce, consumers often face difficulties in identifying the most cost effective platform for purchasing identical products.Manually comparing prices across various online marketplaces is ...
  • Home Services App 
    Khawaja Talal, 01-135221-022; Raja Bahram Shafiq, 01-135221-045 (Computer Sciences, 2025)
    The Home Services App is a mobile-based platform designed to connect customers with verified professionals for a wide range of household services, including plumbing, electrical work, and general maintenance. The app aims ...
  • Anomaly Detection System for Secure Water Treatment 
    Ch. M. Fahad, 01-135221-096; Ali Raza, 01-135221-091 (Computer Sciences, 2025)
    Industrial Control Systems are the backbone of critical infrastructure and it is made clear in the example of water treatment plants, where operational safety is of the utmost importance. Nonetheless, these systems are now ...
  • Wellness AI: A Comprehensive Fitness and Wellness Platform 
    Nazia Butt, 01-135221-042; Isra Saleem, 01-135221-064 (Computer Sciences, 2025)
    The rapid expansion of online fitness has highlighted a critical gap: the absence of intel ligent analysis, real-time form correction, and expert oversight in existing applications. This often results in users failing to ...
  • NeuroAd: EEG-Driven AI for Ad Engagement Prediction 
    Aneeza Batool, 01-135221-007; Arsal Ayyan, 01-135221-060 (Computer Sciences, 2025)
    NeuroAd is a web-based platform designed to objectively evaluate advertisement engage ment by analyzing brainwave data captured from viewers using a 14-channel EMOTIV EPOC headset. The platform processes EEG signals to ...
  • Incident Reporting and Hotspot Detection 
    Muhammad Zain Ul Abdin, 01-135221-040; Afeera Marium, 01-135221-057 (Computer Sciences, 2025)
    The rapid rise in urban crime and public safety concerns has driven the need for inno vative technological solutions. Traditional incident reporting methods lack real-time data processing and predictive capabilities, leading ...