
7
2
Pakistan
1 year of experience
👋 Hello LabLab.ai Community! I'm Kalsoom Irshad, a frontend developer with a strong interest in AI-powered products, product strategy, and user-centered design. I enjoy building intuitive web experiences, transforming ideas into functional solutions, and collaborating with teams to bring innovative products to life. Beyond development, I have a passion for communication, presentations, pitching ideas, and understanding how technology creates real business value. I actively participate in hackathons and enjoy working at the intersection of technology, problem-solving, and innovation. Currently, I'm expanding my knowledge of AI, product development, and emerging technologies while contributing to projects that create meaningful impact. I'm excited to connect with builders, developers, designers, and AI enthusiasts from around the world, collaborate on ambitious ideas, and continue learning from this incredible community. Looking forward to building, growing, and creating the future together.

Splitting bills with roommates sounds simple, but rarely is. Most expense apps, Splitwise included, assume everyone contributes and consumes equally, defaulting to an equal split for rent, groceries, electricity, and gas. In real shared living, that assumption breaks down. One flatmate runs the AC for six hours a day, another barely touches it. One room is bigger and should carry more rent. When the app can't tell the difference, roommates sort it out manually, and that's where arguments start. Fair Share removes both problems: the friction of logging, and the unfairness of equal splitting. How it works: Setup takes under a minute — name the flat, pick a currency, add roommates. In Settings, configure the flat's shared infrastructure: electricity rate, tariff status, per room AC specs, water rate, and gas rate. This configuration powers everything downstream. Logging an expense is as simple as talking. A flatmate sends a voice note: "I ran the AC for two hours," "bought groceries for 400 rupees," "we paid 6,000 for rent." Speechmatics transcribes it in real time, and Featherless AI classifies the expense as individual, shared, utility, or rent, logging it automatically with a timestamp. Shared costs like rent stay pending until other roommates confirm them, building a mutually agreed, tamper evident record instead of a memory based dispute. At month end, instead of dividing the total evenly, Fair Share computes a usage weighted split, factoring in AC tonnage, hours run, room rent weight, and utility rates, to show what each roommate actually owes, plus a clear "who owes whom" settlement figure. Why it matters: Fair Share is a fairness engine for shared living. By pairing near zero effort voice capture with usage aware billing, it solves the two reasons roommate expense tools fail: nobody wants to type, and nobody trusts an equal split when usage isn't equal.
10 Aug 2026

The AI Code Summarizer, powered by the advanced Yi-6B-GGUF model, revolutionizes the coding experience for developers. In its concise form, it offers real-time completion, bug detection, and automated documentation, all aimed at streamlining the coding process. In-depth, the Code Summarizer's real-time completion stands out, leveraging the Yi-6B-GGUF model's advanced natural language processing to provide context-aware recommendations. This dynamic adaptation reduces coding time and enhances accuracy, catering to the specific needs of developers. Beyond completion, robust bug detection and correction capabilities contribute significantly. By analyzing code in real-time, the tool identifies potential errors, offering proactive suggestions for corrections. This not only expedites debugging but also enforces coding standards, elevating overall code quality. A key feature is automatic documentation generation for functions and classes, eliminating the need for manual efforts. This not only saves developers time but also ensures consistency in documentation practices, a crucial aspect for maintaining codebases effectively. Versatility is a hallmark, with support for a wide range of programming languages. Seamlessly integrating with popular IDEs, the Code Summarizer ensures accessibility, allowing developers to incorporate its capabilities effortlessly into their preferred coding environments. The collaborative nature of modern software development is addressed through the Code Summarizer's ability to facilitate knowledge sharing. Providing clear explanations of complex code segments in plain language fosters an environment where developers can comprehend and build upon each other's work seamlessly. In summary, the AI-powered Code Summarizer represents a transformative tool for developers, offering real-time completion, bug detection, and automated documentation. Beyond accelerating the coding process,
1 Dec 2023