27. Podcast Pulse 🎧
Objective: Aggregates the latest news-related podcasts and generates AI-driven summaries for quick listening and reading experiences.
Problem Statement: With the surge in audio journalism, listeners struggle to find relevant podcasts and consume them efficiently due to time constraints.
Solution: An AI-powered podcast aggregator that converts speech to text, summarizes episodes, and provides personalized recommendations for users.
Project Overview
| Category | Audio Journalism |
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| Academic Level | 3rd Year |
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| Technologies | Python, Librosa |
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| Core Method | Speech-to-Text + Summary |
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Key Features
| 1. | Collects trending news podcasts from RSS and streaming platforms. |
| 2. | Uses AI-based transcription via Librosa and NLP summarization models. |
| 3. | Creates short text and audio summaries for time-efficient listening. |
| 4. | Indexes topics and speakers for searchable podcast archives. |
| 5. | Provides personalized recommendations based on user preferences. |