ResearchWriterGPT

Streamlit
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Created by team TaskLife on February 17, 2024

ResearchWriterGPT is an Advanced Multimodal Research Paper Writing Assistant is a groundbreaking tool designed to transform academic writing. It harnesses the language and vision capabilities of GPT-4 to assist in crafting research papers, processing both textual and visual data to ensure thorough coverage from abstract to conclusion in APA format. The project showcases its multimodal capabilities, including image and chart scanning and analysis. It offers direct access to academic databases like Google Scholar, Semantic Scholar, Pubmed, etc., facilitating the literature review process by aggregating and filtering peer-reviewed information. Additionally, the tool enhances user experience through interactive dialogues, audio interaction, PDF analysis, and PPT downloading option. GPT-4 Vision expands the application's scope by enabling detailed image analysis, such as reading texts and interpreting charts from research photos and medical images. The integration of a Pinecone-based RAG system allows users to upload a collection of documents, which the system appends to for relevant response generation. This creates a vast knowledge base, potentially processing millions of articles for quick, contextually relevant responses, supporting efficient document management and advancing context-based AI LLM feed. TruLens further strengthens the tool by evaluating hallucinations in three key dimensions: context relevance, groundedness, and answer relevance. This ensures the LLM application is free from hallucinations, delivering accurate and relevant information. The Trulens leaderboard feature displays the relevancy score of the LLM responses giving realtime feedback. Future expansions aim to incorporate advanced models for face sentiment analysis and object detection, predictive bibliography features, and comprehensive writing support covering all aspects of a research paper.

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"Its unique approach to enhancing research quality and efficiency is commendable"

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Theodoros Ampas

Technical Mentor

"This is a great tool for academics and research purpose. I can see a lot of potential, hope you guys keep developing it!"

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Shebagi Mitra

Technical Mentor

"this project has the potential to greatly benefit researchers and academics, excellent idea, amazing implementation of technology with high business value. you just need to get approved from publisher magazines to be used in research as certified tool. good luck"

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Walaa Nasr Elghitany

Data scientist and doctor