AcademicAlly

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  Home page with Universal Search

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  Analysis section with a search for adding research papers to do analysis on

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  Overview of every paper, with their author details, paper source, and PDF , and a overview of the paper through AI Summary

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  Search Results for keyword search from different sources

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  Generated novel hypothesis with reasoning and source citations

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  Enter your research topic, and generate Research trends, and research gaps

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  Hypothesis buddy section, with a search bar to search for relevant papers

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  Justification and reasoning for the response.

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  Results of Research Trends and Research Gaps

Inspiration

The fact that I always dream of having a one-stop solution when doing research, a companion that could help you ideate, innovate, and compete with you to bring the better version in yourself. AcademicAlly exactly does that !!!

What it does

It is a one stop solution for researchers and academicians who wants to understand the world beyond research, from a single place.

Universal Search

-> Particularly designed for you to search relevant research papers just with keywords

-> View paper content, sources, and summaries

-> Comprehensive access to research literature

Analysis Section

-> Dedicated search bar for adding papers for analysis and literature survey

-> Research Trends Analysis Agent: Analyzes papers to provide key trends

-> Research Gaps Agent: Identifies gaps in existing research

Literature survey generation capabilities

Hypothesis Section

-> Helps generate novel hypotheses by analyzing existing research gaps and limitations

-> Connected to research analysis for informed hypothesis generation

How we built it

-> APIs: Semantic Scholar API and ArXiv library for research paper access through semantic keyword search

-> AI Agents: Dedicated agents for research trends analysis, research gaps analysis, literature survey, and hypothesis generation

Tech Stack:

    Frontend: React.js, TypeScript, Tailwind CSS

    Backend: Node.js

Challenges we ran into

I wanted to implement Agent-to-Agent (A2A) communication to ensure every agent is connected, but due to time constraints, I ended up passing their responses as input to other agents. Accomplishments that we're proud of

Universal Search Integration

-> One-stop universal search connected to various sources such as ArXiv and Semantic Scholar

-> Access all relevant research papers with simple keywords

Coordinated AI Agents

-> Research Trends and Research Gaps agents coordinate with each other to identify trends and gaps from chosen papers

-> Provides detailed analysis and insights on trends and limitations in existing research

Hypothesis Generation

->Hypothesis Buddy connected to both Research Trends and Research Gaps agents

-> Recommends novel hypotheses based on existing research

-> Helps kickstart research journeys with innovative ideas

Built With

• agents
• arxiv
• llms
• meta-llama3-8b-instruct
• node.js
• react.js
• semantic-scholar-api
• togetherai
• typescript