Acknowledging that Pakistan posses eminent inbound tourism potential and yet eventuate low tourist traffic, majorly stunts direct contribution of travel and tourism to GDP. The reasons being little to no ICT practices adopted to facilitate the local
SEYAHAT
Acknowledging that Pakistan posses eminent inbound tourism potential and yet eventuate low tourist traffic, majorly stunts direct contribution of travel and tourism to GDP. The reasons being little to no ICT practices adopted to facilitate the local/international tourists and very mediocre show casing of cultural, historic and religious heritage.
Seyahat - came forth as an idea to substantially target the challenges and obstacles faced by locals/outsiders when it comes to traveling across Pakistan and to shift the paradigm of advertising offbeat locations.
At Seyahat, we will provide virtual tours and unparalleded services to tourist while their onsite trips (initially starting off by Sindh). Seyahat will take over the role of tour guide, muck in with tourists to get rid of all intermediaries, pose an immersive digital experience of locations they want to visit, via Augmented Reality. Assist users with recommendations, hotels in real time with an unparalleled user-oriented communication channel with exclusive AI Chatbot. Precisely, a cross-platform all-rounder Progressive Web App (PWA) , a fun engagement to virtually tour Pakistan and plan cost effective customized trips later - we provide both. Seyahat will target a wide-reaching market of local and international tourists via virtual tours and assist them plan trips without navigating around multiple sites for information. It will prove to be a game changer competitor and innovation against conventional static websites.
A device and browser independent solution with offline facilities in remote areas.
An immersive experience (showcasing) and increased user interactivity with the app.
A 24/7 serviceable traveller assistant which proposes suggestions based on queries.
One-stop platform for tourists’ feasibility in new places such as fine-tuned recommendation options for hotels.
Unbound tourists from travel agencies/ tour groups via trip customizations.
Seyahat aims to revolutionize tourist’s experience by ten folds. A Smart Tour Guide powered by Machine Learning and Augmented Reality that finds the key to:
Where to go ? - By a virtual tour to natural,historic and cultural heritages of Pakistan.
Why to go? - By prompting history, reviews and recommendations regarding locations.
How to go? - By an exclusive communication bot to plan trips from source to destination.
Seyahat to have better access to device resources, ability to store user sessions, offline access and an unparalleled UX flow. We kept in consideration:
Cost per install (CPI) - more expensive to get users to download applications.
Retention - users have very high quality standards for apps and little patience.
1. Progressive Web Application
We dig through all possible schemas to make Seyahat a cross-platform all-in-one application to be serviceable for all Android and IOS users independent of the architectures, frameworks or SDKs. We opt for developing a mobile application that runs inside the browser using JavaScript, which can also harness the power of native device features to provide a user-friendly interactive interface - a progressive web application. Akin to any regular native app, Seyahat will be installed onto the home screen with icon, push notifications and recommendations, SEO discoverable, and could potentially be accessed when offline with the help of service workers and data persistence.

2. Recommendations System
The hotel recommendation acquires a user query from the chatbot then proceeds to the recommendation engine and database and gives outputs as a recommendation list. It obtains user historical records: Keywords, User and Hotel information. Proceeding to quantify user attributes and analyzing user similarity groups, it quantifies hotel evaluation on the criteria: price, rating, online reviews.
3. Augmented Reality based Experience
prototype: https://www.youtube.com/watch?v=04X9yP1nsSY&feature=emb_logo
Immersing the digital world of 3d models depicting historic, archeological, religious attractions will let travelers sitting around any part of the world, navigate across the renowned locations of Sindh virtually. To help meet `cross-platform` requisite and eliminate the barrier of platform specific native IOS/Android Augmented Reality frameworks or integrations that loses portability we picked out to build `Web-based AR Application`. With the web-powered user interface, the user simply scans images of locations that pop ups the model.
Here's the first depiction of Chaukhandi Tombs, Karachi.
4. Tour Chatbot powered by Deep Learning
The greater purpose of using chatbot is to provide a user oriented communication channel. The TourBot will handle answering the FAQs, providing information related to the places of attractions and facilitate users with customization of their trips. We will exploit several data collection strategies so that the chatbot can be as near to a human-like experience as possible, we will distill all the data collected, format it using Natural Language Processing Tools and then subsequently employ Deep Learning with Tensorflow in Python to model the chatbot.
Seyahat will gamify visitor experiences that can change the nature of service work in tourism and Pakistan’s economy as well as the employment sector with a long-run relationship. The large-scale public adoption and usage of Seyahat, dedicated to travel and tourism in Pakistan, is a crucial driver of social and cultural value. It will target eminent tourist traffic, job market impling an additional 1.55 jobs in related sectors, advance use of IT for better services with a paradigm shift in advertising . Seyahat will prove to be a leap forward with its well-thought-out use of state-of-the-art technologies. It will resolve the limits in earning and currency flows, inflation and other economic problems.
A SEO discoverable, cross-platform, all devices and browser independent polymer flask progressive web application that is servicable offline; harnesses the power of a native mobile app and makes way to mobile homescreen with 0 percent storage consumption.
Virtual tour of archeological, religious, historic sites via Augmented Reality implemented through WebAR. WebAR is browser embedded AR, Natural feature tracking
via training images for descriptors via AR.js and using JSartoolkit5 for tracking. No installation requisite. Browser compatibility.
A hotels/rest stops recommendation system that works on collaborative filtering. It uses Machine Learning approach K-Means Clustering. With the help of the elbow method, we choose N clusters and perform the K-Means clustering algorithm on the coordinates of the tourist spots locations.
The formerly used rule-based chatbots did not allow room for efficient scaling, hence we will take advantage of Deep Learning technologies to simulate human conversation to connect with the users. Having a retrieval based approach, Use natural language toolkit and pickle library to preprocess the data and prepared bag of words and training sets i.e. patterns and intents. The training set will be used by advanced deep learning model to for response.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Web hosting / Domain Name | Equipment | 1 | 20000 | 20000 |
| Google Map API | Miscellaneous | 5 | 1500 | 7500 |
| GPU for 3D Models Processing | Equipment | 1 | 50000 | 50000 |
| Total in (Rs) | 77500 |
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