12
6
Pakistan
2 years of experience
While pursuing my bachelor's degree in chemical engineering๐จ๐ปโ๐ฌ, the COVID-19 pandemic occurred and in that period of time, I found my passion in programming. I started with Python๐, built a few programs, and then explored web development which ignited a spark in me and I got indulged in it. ๐ ๐๐ฆ ๐ ๐ ๐ฎ๐ฅ๐ฅ-๐๐ญ๐๐๐ค ๐๐๐ ๐๐๐ฏ๐๐ฅ๐จ๐ฉ๐๐ซ๐จโ๐ป ๐ฐ๐ก๐จ ๐ฅ๐จ๐ฏ๐๐ฌ ๐ญ๐จ ๐๐ฎ๐ข๐ฅ๐ ๐๐๐ฌ๐ญ-๐ฅ๐จ๐๐๐ข๐ง๐ , ๐ฌ๐๐๐ฎ๐ซ๐ ๐๐ง๐ ๐๐๐ ๐จ๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐๐ ๐ฐ๐๐๐ฌ๐ข๐ญ๐๐ฌ. I've adapted multiple JavaScript libraries and Frameworks to build high-end full-stack web applications. I favour the ๐ฅ๐ฒ๐ฎ๐ฐ๐.๐ท๐ library, known for its component-based architecture, efficient state management, and streamlined development process. Additionally, I leverage the ๐ก๐ฒ๐ ๐.๐ท๐ framework for various purposes, including Server-Side Rendering and Static Site Generation. This combination results in the creation of fast-loading and SEO-optimized web applications. I prioritize using ๐ง๐ฎ๐ถ๐น๐๐ถ๐ป๐ฑ ๐๐ฆ๐ฆ, ๐ ๐ฎ๐๐ฒ๐ฟ๐ถ๐ฎ๐น ๐จ๐, and ๐ฆ๐ฎ๐๐ as my go-to CSS frameworks to build web applications quickly, ensure responsiveness, and guarantee cross-browser compatibility. To add a bit a taste of animation I use framer motion. I have experience in backend development using ๐ก๐ผ๐ฑ๐ฒ.๐ท๐ and ๐๐ ๐ฝ๐ฟ๐ฒ๐๐.๐ท๐. My proficiency extends to working with both ๐ก๐ผ๐ฆ๐ค๐ databases like ๐ ๐ผ๐ป๐ด๐ผ๐๐ and relational databases such as ๐ฃ๐ผ๐๐๐ด๐ฟ๐ฒ๐ฆ๐ค๐.
Access to affordable healthcare remains a critical challenge, especially for financially disadvantaged patients. Administrative inefficiencies, lack of transparency in treatment costs, and unequal allocation of donated funds exacerbate the problem. Existing systems often fail to prioritize those in dire need, leaving many patients without timely access to necessary treatments. There is an urgent need for a system that leverages AI to ensure fairness, transparency, and efficiency in healthcare administration and donation allocation. CareAI aims to tackle the critical issue of access to affordable healthcare, especially for financially disadvantaged patients, by addressing the inefficiencies in healthcare administration and donation allocation. The solution combines the power of Artificial Intelligence (AI) with data-driven insights to ensure that treatment costs are transparent, funds are allocated fairly, and the most urgent cases are prioritized.
Problem Statement: Students often lack the research skills needed for successful final-year projects, struggling with defining research questions, conducting literature reviews, analyzing data, and critical thinking. These gaps lead to poor outcomes, lack of innovation, and challenges in managing time and feedback, ultimately resulting in project failure. Solution: ResearchMind is an AI-powered mentor that supports students throughout their research projects. Key features include: Research Question Generator: Helps students define and refine focused, impactful research questions. Literature Review Assistant: Curates relevant research papers and synthesizes key findings. Data Collection and Analysis Guide: Recommends suitable methods and assists in data analysis using statistical and qualitative approaches. Critical Thinking Prompter: Encourages deeper insights and alternative perspectives. Personalized Timeline: Creates custom project timelines to improve time management and track progress. Innovation Feedback: Offers real-time suggestions to enhance creativity and adaptability. Writing and Communication Coach: Reviews drafts and improves clarity in presenting findings. Virtual Mentor: Provides continuous feedback and supervision at every stage. By offering tailored support, ResearchMind equips students with the skills necessary for research success, fostering innovation and reducing project failure rates.
TheEducator app addresses the significant challenges of accessing education in remote regions, such as the lack of high-speed internet, high-performance devices, and steady electricity supply. By leveraging lightweight open-source AI models like llama-3.2-1B and 3.2-3B, TheEducator allows students to access educational content offline. A central server, installed at a school or community hub, runs more advanced models, including llama-3.2-11B and 3.2-90B with multi-modal capabilities. This enables image processing and the use of Retrieval-Augmented Generation (RAG) to provide detailed explanations. When connected to the internet, the app enhances its functionality, enabling students to receive a more enriched, interactive learning experience tailored to their needs.