Inspiration
We wanted to create an AI-powered assistant that simplifies research by summarizing, analyzing, and organizing information efficiently.
What it does
Intellex Research Assistant AI processes lengthy documents, extracts key insights, generates summaries, and provides AI-driven recommendations in multiple languages.
How we built it
We developed it using Python, Django for the backend, and React for the front end, integrating transformer models for advanced text summarization.
Challenges we ran into
Optimizing real-time summarization, handling multilingual support, and ensuring accurate AI-generated insights were some of the key challenges.
Accomplishments that we're proud of
We successfully built an intuitive, high-tech UI, implemented real-time summarization, and created a scalable API for seamless integration.
What we learned
We gained deep insights into NLP model optimization, efficient API design, and the importance of user-friendly AI interfaces.
What's next for Intellex Research Assistant AI
We plan to enhance AI-driven research suggestions, improve TTS capabilities, introduce citation generation, and refine the user experience further.
Built With
- css3
- google-gemin
- html5
- javascript
- python
- react
- sql
- typescript
- vite


Log in or sign up for Devpost to join the conversation.