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Um e Habiba@Um_e_Habiba786
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🤓 Latest Submissions
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Ai Opportunity Navigator
AI Opportunity Navigator AI Opportunity Navigator is an AI-powered career development platform designed to help university students, fresh graduates, and early-career professionals navigate their career journey from understanding their skills to discovering opportunities and managing applications. Today, students and young professionals face a major challenge: career opportunities are available everywhere, but finding the right opportunity and knowing how to prepare for it is difficult. A student may need to search separately for jobs, internships, scholarships, fellowships, and hackathons while also trying to understand whether their resume is strong enough, what skills they are missing, what they should learn next, and which career path is suitable for them. This process is often fragmented across different platforms and can become time-consuming and confusing. AI Opportunity Navigator addresses this problem by bringing these career-development activities into one centralized platform. Instead of functioning only as an opportunity finder, the platform combines AI-powered resume analysis, skill-gap analysis, personalized career guidance, career planning, learning planning, intelligent search, opportunity discovery, personalized recommendations, application tracking, and deadline management. The target users of AI Opportunity Navigator are primarily university students, fresh graduates, and early-career professionals. University students can use the platform to find internships, scholarships, fellowships, hackathons, jobs, and learning opportunities while developing the skills required for their desired careers. Fresh graduates can use it to improve their resumes, understand their strengths and weaknesses, identify suitable opportunities, and receive career guidance. Early-career professionals can use the platform to explore new opportunities,
10 Aug 2026
Research Gap AI
ResearchGap is an intelligent AI-based research assistant designed to simplify one of the most challenging parts of academic research: identifying meaningful research gaps from a large collection of scientific papers. Instead of spending days or weeks reading dozens of papers, comparing methodologies, and manually identifying unexplored areas, the system automates this process using Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and semantic search. The application allows users to upload multiple research papers in PDF format or specify a research topic. It then extracts and processes the contents of these papers, builds a searchable knowledge base, and enables users to ask questions about the literature. Rather than simply summarizing papers, the system analyzes similarities and differences across multiple studies, identifies limitations and unresolved problems, and generates potential future research directions supported by evidence from the uploaded literature. Why Was This Project Built? One of the biggest challenges for students and researchers is conducting a literature review. A researcher often has to read 50–200 papers before deciding on a research topic. This process is extremely time-consuming because they must: Read each paper carefully. Understand different methodologies. Compare experimental results. Identify limitations. Discover unexplored research opportunities. Write comprehensive literature reviews. Existing AI tools can summarize individual papers, but they usually cannot compare multiple papers together to identify genuine research gaps. ResearchGap addresses this limitation by providing an AI system capable of understanding relationships between multiple research papers and suggesting promising future research directions.
13 Jul 2026
