Contact person: AI Video Learning Analysis Platform

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Location: Indore, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"### **Project Title:**

AI-Powered Lecture Video Analyzer: Bilingual Transcription, Summarization & Adaptive Quiz Generator

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### **Project Overview:**

I'm building a **web-based educational platform** where students can upload lecture videos (MP4, AVI, or MKV) and receive:

1. A bilingual, timestamped transcript in **English and Hindi**
2. A concise, multi-paragraph summary of the video content
3. An **auto-generated quiz set** (multiple-choice + short answer), in English, that adapts to each student's level

In addition, the platform should feature:

* A **student dashboard** where users can track their performance history, quiz attempts, progress over time, and revisit all past uploads
* An **admin/teacher panel** to download transcripts, summaries, or question sets

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### **Project Flow & Required Features:**

**1. Video Upload & Storage**

* Upload lecture videos in MP4, AVI, MKV format
* Store videos securely (cloud storage preferred - e.g., AWS S3, Firebase, etc.)

**2. Speech-to-Text Engine**

* Detect the lecture language (Hindi or English) automatically
* Generate accurate transcripts in both **original language** and **translated form**
* Include **timestamps aligned with sentences or speaker turns**
* Transcription accuracy should match or exceed **Whisper-large benchmark WER**

**3. Summary Generator**

* Use modern NLP (e.g., Hugging Face Transformers, GPT) to generate a **multi-paragraph educational summary**
* Summary should cover every **key teaching point**
* **Word count ≤ 15% of the original transcript**

**4. Quiz Generator**

* Generate **10+ quiz questions per 15 mins of video**
* Question types: Multiple-choice, short answer
* Questions must be in **English**, regardless of original lecture language
* Include metadata: Bloom’s taxonomy level (e.g., Remember, Understand, Apply)

**5. Unified Front-End Display**

* Students can:

* Watch the lecture
* View and download transcripts
* Read the summary
* Take quizzes on the same page
* Smooth, responsive UI/UX (mobile + desktop)

**6. Student Dashboard**

* Each student has a profile with:

* Upload history
* Quiz scores & detailed performance
* Summary reviews
* Progress tracking over time
* Can access dashboard anytime from any device

**7. Admin / Teacher Panel**

* View platform-wide activity
* Download individual or bulk:

* Transcripts
* Summaries
* Quiz sets

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### **Tech Stack Expectations:**

Open to your preferred tools, but the solution should integrate modern AI/NLP tools like:

* **Speech Recognition:** OpenAI Whisper, AssemblyAI, or similar
* **Translation / NLP:** Hugging Face Transformers, OpenAI GPT, LangChain, etc.
* **Backend:** Node.js / Python / FastAPI / Django
* **Frontend:** React / [login to view URL] / Vue.js
* **Storage:** AWS S3 / Firebase / Supabase
* **Database:** PostgreSQL / MongoDB
* **Authentication:** OAuth, JWT, or Firebase Auth

All code should be:

* **Well-documented**
* **Modular and maintainable**
* With **README instructions** for local and cloud deployment

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### **Performance Requirements (Acceptance Criteria):**

**Transcription Accuracy**: Comparable to Whisper-large benchmark (low WER) for both English and Hindi
**Summary Compression**: Key points covered in ≤ 15% of original transcript word count
**Quiz Quantity & Quality**: 10+ questions per 15 min of video, Bloom’s-tagged
**Pipeline Speed**: Full process (upload to quiz) completes in ≤ 1× video length on standard GPU (e.g., T4, A10G)

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### **What I’m Looking For in Your Proposal:**

1. A brief intro and **1 relevant AI/NLP project** you’ve built (with a link or code sample if available)
2. Your **proposed tech stack and architecture** for this project
3. Estimated **timeline and cost**
4. Whether you’ll deliver:

* Frontend
* Backend/API
* AI/NLP components
* Deployment & documentation

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Let’s build a platform that turns any lecture video into an interactive, intelligent study companion for students." (client-provided description)