Advanced Studio 1 Group 1

 This week, the team finalised its project direction through a ranked voting process. Tausif created and shared a Google Form containing summaries and a linked document outlining each shortlisted idea. After the votes were collected and tallied, the  AI Vehicle Manager & Charging Station Planner  emerged as the clear winner. The team agreed it had the best balance between innovation, technical potential, and practical relevance. The idea was then presented to Roshan for feedback, who suggested simplifying the design for the first trimester and gradually building up features. Following that meeting, the team began its research phase, identifying academic papers and related technologies. Manzil shared an  E-Charge  EV-planning paper that sparked discussion about data efficiency, route optimisation, and interface design improvements. Each member also began locating research materials relevant to their preferred aspects of the project to inform our upcoming Week...

I supported both the Vehicle Manager and Customer Service Quality Checker ideas but pivoted more toward the Vehicle concept after our discussions, agreeing it had broader real-world impact and innovation potential. Although I was unwell and missed the Roshan meeting, I’ve begun researching EV trip-planning systems, charging-station data networks, and route-optimisation algorithms to identify which methods and designs are most effective. I am also analysing user experience and monetisation strategies from existing EV apps to help shape our project’s long-term business potential. I’ll continue sharing relevant research findings to guide our Week 6 planning and project brief preparation.

  participated in the voting process and initially leaned toward the Audit App, but after deeper discussions, I found the Customer Service Checker and Vehicle Manager ideas more scalable and innovative. I located an academic paper titled E-Charge, which described an EV-charging-station planning system using open data and efficiency modelling. I shared the paper with the group and led a discussion on how its methods could guide our approach—particularly its use of driver-collected data, efficiency mapping, and route-planning optimisation. I also helped analyse how to simplify our version for Trimester 1, keeping it practical while leaving room for AI integration later. Additionally, I began finding and reviewing more EV-planning research papers to contribute to our shared knowledge base.

 I prepared and distributed the topic summaries, compiled all team input, and created the Google Form to collect and rank votes. The form included a link to a document summarising each project idea so everyone could compare before voting. After tallying the votes, I announced the  AI Vehicle Manager  as the winning concept. During the meeting with Roshan, I explained how users could add a vehicle, log calibration drives, and view planned routes and charging stations. I used the DoorDash driver-behaviour summary system as an analogy for how the app might provide eco-driving feedback. My preferences were for the  Vehicle Manager  and  Audit App  ideas, as both connected strongly to practical workplace efficiency. I also started reviewing EV data management and intelligent mobility research papers to help refine our design direction.

 I joined the voting process and ranked my preferences as Vehicle Manager > Customer Service Quality Checker > Walkthrough auditer . I explained that the Vehicle Manager concept offered the best scope for technical development and long-term learning potential . After the meeting, I began researching APIs and frameworks needed for route planning and charger location mapping, such as Google Maps, OpenRouteService and Open Charge Map. I also explored how similar systems handle user data input and trip optimisation . Alongside that, I started collecting academic sources on electric mobility and charging-network algorithms to ensure our technical direction is backed by solid research.

 Early in the week, I was still considering the original Audit App concept, but as our discussions evolved, I became more drawn to the Walkthrough Auditor (idea 2) and AI Vehicle Manager (idea 7). The Walkthrough Auditor appealed to me because of its direct application in the hospitality industry, particularly restaurants like where I work. In daily operations, staff perform hygiene and safety checks using paper lists or manual reports, which are often inconsistent and time-consuming. With this app, managers could simply walk through the venue, take photos, and record quick notes. The AI would automatically flag potential issues—like misplaced cleaning products or unclean stations—and generate a closing report for review. This system could ensure compliance, consistency, and accountability while saving significant time. Throughout our meetings, I emphasised that we should prioritise an idea that can be completed within our timeline while maximising our academic performance across b...

 This week, I introduced idea 7 – the AI Vehicle Manager & Charging Station Planner, evolving my previous parking and charging station concepts into a more intelligent, user-focused solution. The problem it addresses is simple but widespread: EV and hybrid drivers struggle with trip planning due to battery range uncertainty and charger availability. Our solution allows users to add their vehicle details—make, model, battery size, and efficiency—and then complete a few short test drives to collect performance data. These calibration runs teach the system how the specific vehicle performs under real conditions, accounting for driving style, speed, and terrain. Using this learned data, the AI predicts range more accurately than standard manufacturer ratings. When planning a trip, users enter their starting charge or fuel level and destination. The system calculates whether the trip is possible, and if not, it automatically identifies optimal charging or refuelling stops based on l...

 This week, I presented four ideas during our Discord meeting, exploring how AI could transform simple inputs into actionable business intelligence. Two of these became finalists that I’m particularly invested in. AI Customer Service Quality Checker (Idea 4)  is designed to analyze staff communication in customer interactions, providing managers with data-driven insights to improve service quality. The system processes conversation transcripts—whether from phone calls, live chats, or recorded in-person interactions—and evaluates key performance dimensions. It measures tone and sentiment to ensure professionalism and empathy, checks compliance with company policies and scripts, assesses response accuracy, and identifies coaching opportunities for staff. The AI then generates detailed performance reports that help managers recognize top performers and target training needs, turning subjective assessments into measurable data. Walkthrough Auditor with AI Insights (Idea 2)  i...

  Week 3 Blog – Overall Summary In Week 4, our team transitioned from broad brainstorming into focused evaluation of our most promising concepts. We continued using  Discord  for coordination, holding voice calls and sharing documents to refine our direction. This week marked our  idea generation and evaluation phase , where we explored multiple concepts before narrowing down to the most practical and innovative options. The complete list of ideas reviewed included: Audit App (Order and Walkthrough) Walkthrough Auditor with AI Insights AI Safety Inspector AI Customer Service Quality Checker AI Fashion & Dress Code Checker AI Baby Proofer AI Vehicle Manager & Charging Station Planner Tausif  presented ideas 1, 2, 5, and 6, while  Aman  introduced idea 7. After discussion and feedback, the team  ruled out ideas 5 and 6  as they were more suitable for smaller, two-person project scopes.  Idea 1  was set aside due to integration...

This week I shared my screen to present the idea of the Family Workflow App , which I proposed as a practical and relatable project concept. The app would allow family members to assign tasks or reminders to each other, with the option to accept, reject, or reschedule them for a better time. During the discussion, I explained how features like task categories, recurring reminders, and notification preferences could make the system more user-friendly and realistic for daily use. I also suggested adding smart elements, such as AI-based recommendations that learn from user habits to suggest better timings or prioritise tasks automatically. My main point was that we should aim for an idea that feels both useful and original, instead of entering crowded spaces like fitness apps. The team responded positively, and the discussion helped refine our direction toward something more unique and technically meaningful.

This week I shared my screen to present my Password Manager App, explaining its features and design. I then introduced the Parking App idea, similar to Airbnb but for renting private parking spaces in cities, which the team recognised as having a strong business focus. I also reinforced Jayden’s point about choosing a web-based approach, noting from my cross-platform experience that this avoids syncing issues and is more reliable than Android/iOS-only systems. I further contributed by raising points about monetisation strategies, helping the team consider how different ideas could generate revenue. Lastly, I expressed an interest in contributing more to the design and user interface aspects of the project.

 This week I suggested that we build a web-based application, since it would be easier to present and maintain . I also shared my screen to walk my team through serveral of my past project s, includes a Movie Review Web App , an Advanced Web Project , a Shooter Game and a Task/Calender App . These demonstrations highlight my technical ability acrosss both web and game development and based on this the team suggrested that I would be the most suitable choice to take on the role of main developer for the project. Beyond my project showcases, I also supported our collaboration setup by creating a Discord server so the team could share updates and stay connected outside formal meetings.

Tausif Rahman This week I presented the  Audit App  concept with its two parts:  Order Audit (OrderAuditPro)  and  Walkthrough Auditor . I later uploaded documentation and demonstration files of an Android version of the Order Audit module, which helped the team understand the concept more clearly. In addition, I encouraged the team to think about their  past subject projects  by asking what they had worked on in Android, iOS, cross-platform, and project management courses, to see if those experiences could be adapted into our current project. Alongside that, I shared several of my own past coursework projects, such as  ScholarSwap  (resource and book exchange platform),  SurvivAway  (a budgeting and life-flow helper), and  FocusFlow  (a study planner with ADHD-focused features). I also raised the issue of  legal risks  in some ideas, such as consumer liability in a Parking App or data security concerns in a Pass...

  Week 3 Blog – Overall Summary In Week 3, our team moved from broad brainstorming into sharing concrete ideas. We created a WhatsApp group in Week 2 to coordinate, and this week each member shared their past projects and new concepts by presenting and screen sharing. Through this process, we identified three strong directions: the  Audit App , the  Family Workflow App , and the  Parking App . By Thursday’s class, we discussed the Audit App in more detail, but also recognised challenges, particularly around integration. As a result, we are no longer leaning towards it as the main idea. Instead, we agreed to keep an open mind and explore a broader range of apps, including the Parking App and other concepts, while doing further research. Alongside idea exploration, we also began to discuss  roles within the team  — with Jayden being suggested as the  main developer based on his technical ability, Aman showing interest in  UI and design , Manzil cont...