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Avyakta Intelligence — AI Research Platform (Planning & System Architecture Phase)

Planning an AI-assisted research platform that combines conversational AI, academic evidence, and transparent citations.

Overview

Planning an AI-assisted research platform that combines conversational AI, academic evidence, and transparent citations.

AI Research Platform (Planning Phase)

Status: 🚧 Planning & System Architecture


Overview

Avyakta Intelligence is an upcoming AI-assisted research platform currently being planned in collaboration with an Assistant Professor of Botany at Tribhuvan University.

The project aims to combine conversational artificial intelligence with academic evidence retrieval, ecological knowledge, and transparent citation workflows to create a trustworthy research experience for students, researchers, and knowledge communities.

Unlike conventional AI assistants, Avyakta Intelligence is being designed with research integrity, evidence transparency, and responsible knowledge governance at its core.


Why This Project?

Large language models have transformed how people access information, but researchers still face important challenges:

  • AI responses are not always easy to verify.

  • Local ecological knowledge is rarely represented.

  • Scientific evidence is often disconnected from AI-generated answers.

  • Knowledge ownership and consent are frequently overlooked.

Avyakta Intelligence aims to bridge these gaps through thoughtful system design rather than simply building another chatbot.


Planned MVP

The first release is expected to include:

  • Secure user authentication

  • AI-powered research assistant

  • Conversation history

  • MIT DSpace integration

  • Automatic academic citations

  • Research-friendly interface

  • Administrative dashboard

  • Prompt management


Proposed Technology Stack

Backend

  • Laravel 12

  • PHP 8.3

  • MySQL

Frontend

  • Blade

  • Tailwind CSS

  • Alpine.js

Artificial Intelligence

  • Claude API

  • OpenAI API

  • Provider abstraction layer

Future Roadmap

  • Retrieval-Augmented Generation (RAG)

  • Vector database

  • Knowledge graph

  • Fine-tuned research model


My Role

As Technical Lead, I am responsible for:

  • Solution architecture

  • Backend engineering

  • AI integration

  • Database design

  • API development

  • Infrastructure planning

  • Deployment strategy

The scientific vision and research direction are led by the project's academic collaborator.


Current Progress

✔ Vision Definition

✔ System Architecture Planning

✔ MVP Scope

✔ Technology Evaluation

⏳ Development Begins Soon


Looking Ahead

The long-term goal is to build a trusted AI research platform that helps researchers discover, verify, and preserve knowledge through artificial intelligence supported by transparent academic evidence.


Artificial Intelligence generates answers.
Avyakta Intelligence builds trust.


 

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