AI-Powered SaaS Web App Development
Budget: $250 – $750 USD
I'm looking for a talented web developer with experience in AI to create a SaaS web app for me. The app's AI should focus on generating and summarizing study materials, and providing custom responses based on user inputs. Creating quizzes and flashcards based on input material. Similar to Quizlet and Vaia apps.
The main goal is to help users (primarily students) create and study flashcards, summaries and quizzes, with the option to generate them automatically from uploaded PDFs, images or text passages. Below is an overview of the functionality I’d like implemented:
1. User Registration and Profiles
Sign Up / Log In: Standard email/password or social logins.
Profile Settings: Basic information, notification preferences, and language settings.
2. Flashcard Creation & Management
Manual Creation: Users can manually add flashcards (front/back or question/answer) with formatting (bold, italics, etc.).
Automated Generation: Users can upload a file or paste text, and the app should parse it to identify key concepts. Automatically create flashcards from that content (similar to mindgrasp.ai or Vaia).
3. Flashcard Library
Organized Sets: Users can group flashcards into themed sets or subjects (like Quizlet).
Search & Filter: By title, subject, difficulty, or date created.
Share Options (optional, if time permits): Let users share sets with friends or make them public.
4. Study & Quiz Features
Flip-Based Study: Show front side first, then reveal the answer on the back (like traditional flashcards).
Difficulty/Confidence Rating: After viewing an answer, user labels how easy or hard it was. This data can feed a spaced repetition algorithm so that harder cards appear more frequently.
Progress Tracking: Display how many cards are left, correct/incorrect counts, or a progress bar.
Multiple Question Types (optional): If possible, beyond just “flip cards,” we might introduce multiple-choice, fill-in-the-blank, etc.
5. AI/Spaced Repetition Integration
Adaptive Scheduling: Cards rated “hard” appear more often than easier ones (similar to Anki).
Summaries & Key Concepts: If possible, incorporate an AI summarizer that condenses large pieces of text into bullet points or potential Q&A pairs.
6. User Experience & Interface
Clean, Intuitive UI: Reference Quizlet’s minimal approach.
Visual Cues: Simple icons for flipping cards, rating difficulty, or uploading documents (similar to Vaia’s design style).
Responsive Design: This should work smoothly on desktop and mobile devices.
7. Additional Features (Nice to Have)
Achievements/Analytics: Show stats like how many cards studied, average success rate, or daily streaks to motivate learning.
8. Tech Stack & Requirements
I’m open to suggestions, but ideally:
Frontend: React/Next.js or a similar modern JS framework (if a web app), or Flutter/React Native (if cross-platform mobile).
Backend: Node.js/Express or Python (Django/Flask/FastAPI) for storing user data, flashcards, and handling AI calls.
Database: Cloud-based (MongoDB, PostgreSQL, or whichever is convenient).
AI Integration: Possibly using an LLM API (OpenAI, Anthropic, Gemini.) for summarizing text into Q&A.
Hosting: For MVP, a simple hosting service like Vercel..
9. Timeline & Budget
I’d like to launch a functional MVP in less than 30 days since app like this is relatively simple.
Please let me know your estimated cost based on these features, and if we can prioritize or phase some features to fit my budget.
The app should be a Freemium model.
The main goal is to help users (primarily students) create and study flashcards, summaries and quizzes, with the option to generate them automatically from uploaded PDFs, images or text passages. Below is an overview of the functionality I’d like implemented:
1. User Registration and Profiles
Sign Up / Log In: Standard email/password or social logins.
Profile Settings: Basic information, notification preferences, and language settings.
2. Flashcard Creation & Management
Manual Creation: Users can manually add flashcards (front/back or question/answer) with formatting (bold, italics, etc.).
Automated Generation: Users can upload a file or paste text, and the app should parse it to identify key concepts. Automatically create flashcards from that content (similar to mindgrasp.ai or Vaia).
3. Flashcard Library
Organized Sets: Users can group flashcards into themed sets or subjects (like Quizlet).
Search & Filter: By title, subject, difficulty, or date created.
Share Options (optional, if time permits): Let users share sets with friends or make them public.
4. Study & Quiz Features
Flip-Based Study: Show front side first, then reveal the answer on the back (like traditional flashcards).
Difficulty/Confidence Rating: After viewing an answer, user labels how easy or hard it was. This data can feed a spaced repetition algorithm so that harder cards appear more frequently.
Progress Tracking: Display how many cards are left, correct/incorrect counts, or a progress bar.
Multiple Question Types (optional): If possible, beyond just “flip cards,” we might introduce multiple-choice, fill-in-the-blank, etc.
5. AI/Spaced Repetition Integration
Adaptive Scheduling: Cards rated “hard” appear more often than easier ones (similar to Anki).
Summaries & Key Concepts: If possible, incorporate an AI summarizer that condenses large pieces of text into bullet points or potential Q&A pairs.
6. User Experience & Interface
Clean, Intuitive UI: Reference Quizlet’s minimal approach.
Visual Cues: Simple icons for flipping cards, rating difficulty, or uploading documents (similar to Vaia’s design style).
Responsive Design: This should work smoothly on desktop and mobile devices.
7. Additional Features (Nice to Have)
Achievements/Analytics: Show stats like how many cards studied, average success rate, or daily streaks to motivate learning.
8. Tech Stack & Requirements
I’m open to suggestions, but ideally:
Frontend: React/Next.js or a similar modern JS framework (if a web app), or Flutter/React Native (if cross-platform mobile).
Backend: Node.js/Express or Python (Django/Flask/FastAPI) for storing user data, flashcards, and handling AI calls.
Database: Cloud-based (MongoDB, PostgreSQL, or whichever is convenient).
AI Integration: Possibly using an LLM API (OpenAI, Anthropic, Gemini.) for summarizing text into Q&A.
Hosting: For MVP, a simple hosting service like Vercel..
9. Timeline & Budget
I’d like to launch a functional MVP in less than 30 days since app like this is relatively simple.
Please let me know your estimated cost based on these features, and if we can prioritize or phase some features to fit my budget.
The app should be a Freemium model.