3
1
Bangladesh
1 year of experience
Curious builder with a background in Computer Science and Engineering, technical content writing, and research. Passionate about AI, creativity, and turning ideas into practical solutions through collaboration and continuous learning.

ThesisForge helps students and early-stage researchers review their thesis work before submission. Instead of generating a thesis for the user, it focuses on quality control: finding unclear research gaps, weak citation support, methodology mismatches, under-explained results, and likely defense risks. Users create a thesis project, paste text or upload research materials such as PDF, DOCX, TXT, BibTeX, and CSV files, then run an asynchronous multi-agent review workflow. Specialized agents check literature coverage, research gap quality, citation alignment, methodology consistency, results interpretation, and defense readiness. The system shows visible agent progress, collaboration handoffs, and a final structured report with scores, priority fixes, action tasks, citation concerns, and likely panel questions. For judges, ThesisForge includes a safe synthetic demo project so the full workflow can be tested quickly without private thesis data. The project is built as a SaaS-style research review workspace using a Next.js frontend, FastAPI backend, Supabase authentication, Redis/RQ background jobs, Postgres, OpenAI-compatible LLM orchestration, and Band for agent collaboration and traceability.
19 Jun 2026