Awards & competitions

Competition record.

Five competitions, and what was actually built for each. These are the projects that had to work in front of judges, not just in a notebook.

02

5 results

Every entry has its own page with the full build: what the system did, the stack behind it, the team, and links to the announcements.

  1. Champion

    Champion – DIU FSIT Project Showcasing 2024

    Smart Transport App – Innovation for Smart City

    The Smart University Transport App is a next-generation digital transport solution designed for university campuses. Originally built for Daffodil International University, this app enables students to manage their entire transport experience — from fare payments to live bus tracking — right from their mobile or browser. The solution was awarded Champion at the DIU FSIT 2024 Project Showcasing event for its real-world impact, technical scalability, and user-focused design.

    Read the full story
  2. Champion

    Champion – DIU Agentic AI Contest

    AI Assistant for Campus Safety & Code of Conduct

    AI Proctor is a bilingual, AI-powered assistant designed to provide 24/7 chat + voice-based support for university students seeking help with campus safety, disciplinary issues, and institutional policies. Built using LLMs, vector databases, and agentic workflows, this solution modernizes how students interact with their university's Proctor Office — especially during emergencies or outside office hours. It earned the Champion title at the DIU Agentic AI Contest 2024 for its innovation, real-world relevance, and seamless deployment.

    Read the full story
  3. Champion

    Champion – 4th National Data Science Summit

    AI Chatbot Category

    This project is an AI-powered chatbot built with Retrieval-Augmented Generation (RAG) capabilities, designed to extract context-aware answers from both plain text and scanned PDF documents. By integrating meta-LLAMA 3.1 (8B, 4-bit quantized) and running it locally using Ollama, the solution demonstrates how powerful AI models can be made lightweight and accessible — without relying on cloud APIs. Awarded Champion in the AI Chatbot Category at the 4th National Data Science Summit, this project impressed judges with its ability to merge local LLM inference, OCR, and vector search into a seamless knowledge assistant.

    Read the full story
  4. Top 5 Finalist

    Top 5 Finalist – AI Hackathon by Innovation Conclave BD & BRAC

    Competitive AI innovation challenge

    AI Tutor is an intelligent, bilingual educational platform designed to revolutionize digital learning for both students and teachers. It leverages Generative AI, Voice Agents, Automated Evaluation, and Multilingual Support to provide a complete, personalized teaching-learning experience. Recognized as a Top 5 Finalist at the AI Hackathon by Innovation Conclave BD & BRAC, the project stood out for its innovative integration of AI in course management, content creation, and student engagement.

    Read the full story
  5. 2nd Runner-Up

    2nd Runner-Up – NASA Space Apps Challenge 2025 (Local Round)

    Data Pathways to Healthy Cities and Human Settlements

    It is an AI-powered urban planning web & mobile app platform developed for the NASA Space Apps Challenge 2025 under the theme “Data Pathways to Healthy Cities and Human Settlements.” Our system integrates NASA EarthData (MODIS LST, MODIS NDVI) and WorldPop population density into an H3 hexagonal grid. By processing these datasets, CityPath identifies urban heat hotspots, evaluates green space coverage, and highlights underserved communities. We then apply AI-driven recommendations to suggest where new parks, clinics, housing, or health interventions should be prioritized. The platform provides both a web and mobile interface, featuring an interactive map with choropleths, recommendation layers, and real-time insights. An AI chat assistant allows city planners and community leaders to ask natural language questions like “Where should new clinics be built?” and instantly receive both explanations and mapped suggestions. CityPath is important because it transforms complex Earth observation data into actionable, community-focused insights. By supporting data-driven decision-making, it empowers urban planners to build healthier, more sustainable, and more resilient cities—particularly vital for rapidly growing urban areas like Dhaka.

    Read the full story
Next step

Have an AI problem worth solving?

Tell me what you are trying to build. I will tell you honestly whether AI is the right tool, what it would take, and how I would approach it.

Typical reply within 24 hours

Working from Dhaka, Bangladesh · remote worldwide