It is often uncomfortable for disabled individuals, especially those with vision impairment, to conduct educational activities in collaboration with people that have perfect vision. This can be because of the former’s lack of confidence, vision capability, and acceptance. Information and communications technology (ICT) has played a vital role in giving support to people with visual impairments so that they can overcome their issues. This study proposes innovative solutions that address the challenges faced by partially or completely visually impaired people. It provides an interactive and intelligent interface, which they may use to perform educational activities, such as editing, writing, or reviewing documents, in collaboration with people without visual impairments. The system provides high-quality awareness features by sending them instant voice notifications about the actions and events occurring in the shared environment. A speech-recognition engine has been integrated into the system to allow users to interact with the application through voice commands. The system is evaluated through experiments, where people with visual impairment and people without visual impairment were engaged in collaborative writing. The obtained results are encouraging. The users showed curiosity in the system and were able to focus on the productive task instead of their disability.

In Islamic religion, mistakes in recitation of holy Quran (the sacred book of Muslims) are forbidden. Mistakes can be missing words, verse, misreading Harakat (pronunciations, punctuations, and accents). Thus, a hafiz/reciter who memorizes the holy Quran, needs other hafiz/tutor who listens the recitation and points oral mistakes. Due to the seriously commitment, the availability and expertise of a hafiz are also questionable. A listener can also make mistakes while hearing imputable to environmental interruptions like noise, attention. In order to tackle this issue, we designed, developed, and tested the E-hafiz system. E-hafiz is based on Mel-Frequency Cepstral Coefficient (MFCC) technique to extract voice features from Quranic verse recitation and maps them with the data collected during the training phase. Any mismatch mistake is pointed out. Testing results of short verses of Quran using the E-hafiz system are very encouraging.

Generally, it is seen that the disable people most commonly blinds in our society are not encouraged to work with normal community due to lack of vision, communication, and understandings. Fortunately, this is no longer a big issue. By use of modern technology and tools we can develop flexible environments in which blinds work collaboratively with normal ones and share their knowledge with each other to produce a robust and worthy task. In this research, we solve the issue by proposing a platform for different categories of people (fully/partially impaired and normal). The locally/remotely distributed participants work together (online or offline) in a Web based co-authoring environment to produce a shared document. The system presents a simplified design of mechanisms to share, modify, and update document and their resources in a consistent and controlled way such that each group member can easily able to know the updates and be well aware about the current state of the common object. The main goal of the research is to make the handicap persons self-reliant, confident, and independent so that they can play their equal part in every group activity of the society. The approach is evaluated by means of experiments conducted with blinds and normal authors in a distributed environment.

Today every person wants be attractive and well dressed. Especially, women want to appear beautiful than all others. For this, they go to different parlors and invest lots of money and time. On the other hands, in some countries like Pakistan, India, Afghanistan, it is not normal practice for women to go out and got beauty treatments. In addition to these factors, on different occasions like wedding, engagement, and birthday, people wear special clothing items and do make over. Consequently it is difficult for them each time to go out or find any source who can give them suggestion for wearable and makeover. We resolve this issue by means of design and development of an expert system who suggests party wearable items by just simple clicks and small number of key strokes. The system extracts certain user information from her snap (skin ton, complexion, face shape, facial features) and asks other particulars like height, weight, as well as event type. These attributes are used to search the best related case from system's knowledge base and suggests user the cosmetics, hairstyle, eye wear, contact lenses, dress color, dress type, shoe, etc. The numbers of experiments are performed and the results obtained are matched with the expert's suggestions.