Focus on what matters — AI-powered news summaries with BriefLens
Problem Statement 1- Weave AI magic with Groq.
BriefLens is an AI-powered platform that delivers concise news summaries from video, audio, and text formats, helping busy professionals, journalists, students, and the public quickly grasp key insights. Key features include a daily live news feed, interactive cross-questioning with AI, and fake news detection to ensure content authenticity.
HackCity Boys
- Lakshay Bajaj LAKSHAY2100 (AI Developer)
- Rishuraj Pandey RishurajPandey (Frontend Developer)
- Kanavpreet Singh Kanavpreet-Singh (Backend developer)
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We chose this problem because news consumption today is time-consuming and fragmented, with valuable information buried in long videos, podcasts, or lengthy articles. In a fast-paced world, people often don’t have the time to stay fully informed. By building BriefLens, we aimed to simplify how people consume news—making it faster, smarter, and more accessible through AI-powered summarization of content across video, audio, and text formats. Alongside concise summaries, BriefLens offers a daily live news feed like a digital newspaper, interactive cross-questioning with the AI to satisfy user curiosity, and an integrated fake news detection system to ensure the authenticity and reliability of every piece of news.
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Key challenges:
- Handling and processing multiple input formats (text, audio, video) seamlessly.
- Integrating smart Q/A system after user obtains the summary.
- Checking whether or not the news is fake.
- Achieving high transcription accuracy from varied audio/video sources.
- Generating summaries that preserve context and key information.
- Optimizing performance for fast, real-time responses using Groq.
- Connecting backend with Summarization models through Flask APIs.
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Brainstorms:
- Learning to build news summarization model using Groq.
- Figuring out way to connect it with NodeJs Backend.
- Exploring various designs for frontend designing.
- Transcribing news from video and audio inputs to text.
- Building live digital newspaer, fake detection system for every news
- Frontend: React, TailwindCSS
- Backend: NodeJs, Flask
- Database: MongoDB
- APIs: Groq, AssemblyAI, Gnews
- ✅ Groq: We used Groq's high-speed LLM inference to generate summaries from processed text. Whether the input was text, audio, or video (converted to text), Groq delivered fast, accurate, and context-aware news summaries. Additionally, Groq was utilized for fake news detection and for responding to users' questions related to news articles and summaries, enabling an interactive and trustworthy news consumption experience.
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✅ Summarize any English or Hindi news video from YouTube — just paste the URL and get a concise summary instantly.
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✅ Instantly and accurately summarize any audio news file.
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✅ Effectively summarize long news articles to save time and reading effort.
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✅ Fake News Detection: After summarizing, the system checks whether the news is real or fake using AI verification.
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✅ Interactive Q&A: Ask questions related to the summary or even beyond it, and get accurate, instant answers powered by Groq.
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✅ Daily Live News Feed: Access a real-time stream of daily news with images, short descriptions, and direct links to full articles on the web.
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✅ Enhanced UI with dark/light mode, website responsiveness and easy access to previously viewed summaries.
- [✅] All members of the team completed the mandatory task - Followed at least 2 of our social channels and filled the form (Details in Participant Manual)
- All members of the team completed Bonus Task 1 - Sharing of Badges and filled the form (2 points) (Details in Participant Manual)
- All members of the team completed Bonus Task 2 - Signing up for Sprint.dev and filled the form (3 points) (Details in Participant Manual)
(Mark with ✅ if completed)
- Node.js and npm
- Python 3.x
- MongoDB Atlas account
- API keys from:
.envfile setup
- Clone the repository
git clone https://github.com/RishurajPandey/GroqHackathon.git
- Frontend Setup
cd frontend npm install npm run dev - Backend Setup
cd .. pip install -r requirement.txt cd backend npm install
Create a .env file in the backend directory with the following content:
JWT_SECRET=your_jwt_secret
MONGO_URL=your_mongodb_connection_url
GROQ_API_KEY=your_groq_api_key
ASSEMBLYAI_API_KEY=your_assemblyai_api_key
GNEWS_API_KEY=your_gnews_api_key
Start the backend server
nodemon server.js
Run the Python service (in a new terminal, still inside the backend directory):
python app.py
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Personalized News Subscriptions: Introduce a feature where users can subscribe to news categories or topics of their interest, with AI recommendations for tailored content.
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Deployment and Scalability: Deploy the application on cloud platforms like AWS or GCP, ensuring scalability and performance optimization through containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
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Voice-based Interaction: Integrate voice recognition to allow users to listen to news summaries or ask questions using natural language voice commands, improving accessibility.
- JWT (JSON Web Token) – for implementing secure user authentication.
- Groq – used for fast and efficient language model-based news summarization.
- AssemblyAI – for converting speech to text in audio news content.
- Flask – lightweight Python framework used to connect the Groq LLM model with the backend.
- Node.js – backend environment handling API logic and server-side operations.
- React – JavaScript library used for building the user interface.
- Tailwind CSS – utility-first CSS framework for responsive frontend design.
Participating in the HackHazards Hackathon was an incredible experience full of challenges, learning, and fun moments. The most exciting part was when our feature finally started working properly after hours of debugging and iteration. Shoutout to my amazing teammates for their dedication and collaboration, and to the organizers for creating such a great platform. We regularly had Google Meet sessions to discuss new features, assign tasks, and track our progress, which kept the momentum going. It was a great team effort, and I walked away with a wealth of new knowledge and a deep sense of accomplishment.