AI-Driven Contract Analysis MVP Development
Budget: ₹37,500 – ₹75,000 INR
Job Description: MVP Development for AI-Powered Contract Analysis SaaS (Docudite.ai)
Project Overview
We are building Docudite.ai, an AI-powered SaaS platform that allows users to:
1. Upload contracts/documents (PDF, Word, Image).
2. Translate them into English (using Google Translate API or equivalent).
3. Analyze text with AI (OpenAI/GPT) to extract:
Parties to contract
Important dates
Risks & obligations
One-sidedness/neutral grading.
4. Store results securely in a database.
5. Provide subscription-based access (Razorpay/Stripe integration).
The MVP should be simple, stable, and scalable for a seed-funding demo.
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Tech Stack Preference
(Open to recommendations, but preference is Firebase-first for cost efficiency)
Frontend: React.js / Next.js
Backend: Firebase Functions OR Node.js (serverless preferred)
Auth: Firebase Authentication (Email, Google, Social Logins)
Database: Firestore (NoSQL)
File Storage: Firebase Storage (or S3 equivalent)
Payments: Razorpay (India) + Stripe (International)
AI Integration: OpenAI API / HuggingFace Models
Hosting: Firebase Hosting (or Vercel/Netlify if better suited)
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Key Features for MVP
1. User Authentication (Sign up, Login, Forgot password, Social login).
2. Document Upload (PDF, Word, Image → stored in Firebase Storage).
3. Translation Integration (Google Translate API).
4. AI Analysis (Pass English text to OpenAI API, store structured results).
5. Dashboard (User sees uploaded docs + extracted insights).
6. Subscription Billing (Razorpay/Stripe).
7. Admin Panel (Basic) – to view users & uploaded docs.
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Deliverables
MVP live on custom domain (docudite.ai).
Source code with clear documentation.
Deployment guide (Firebase/Netlify/Vercel).
Post-launch support for 1 month.
---
Skillset Required
Strong in React.js / Next.js.
Experience with Firebase (Auth, Firestore, Cloud Functions, Hosting).
Integration with Google Cloud APIs (Translate, Vision OCR).
Experience with OpenAI API or other NLP APIs.
Payment gateway integration (Razorpay/Stripe).
Good understanding of scalable SaaS design.
Project Overview
We are building Docudite.ai, an AI-powered SaaS platform that allows users to:
1. Upload contracts/documents (PDF, Word, Image).
2. Translate them into English (using Google Translate API or equivalent).
3. Analyze text with AI (OpenAI/GPT) to extract:
Parties to contract
Important dates
Risks & obligations
One-sidedness/neutral grading.
4. Store results securely in a database.
5. Provide subscription-based access (Razorpay/Stripe integration).
The MVP should be simple, stable, and scalable for a seed-funding demo.
---
Tech Stack Preference
(Open to recommendations, but preference is Firebase-first for cost efficiency)
Frontend: React.js / Next.js
Backend: Firebase Functions OR Node.js (serverless preferred)
Auth: Firebase Authentication (Email, Google, Social Logins)
Database: Firestore (NoSQL)
File Storage: Firebase Storage (or S3 equivalent)
Payments: Razorpay (India) + Stripe (International)
AI Integration: OpenAI API / HuggingFace Models
Hosting: Firebase Hosting (or Vercel/Netlify if better suited)
---
Key Features for MVP
1. User Authentication (Sign up, Login, Forgot password, Social login).
2. Document Upload (PDF, Word, Image → stored in Firebase Storage).
3. Translation Integration (Google Translate API).
4. AI Analysis (Pass English text to OpenAI API, store structured results).
5. Dashboard (User sees uploaded docs + extracted insights).
6. Subscription Billing (Razorpay/Stripe).
7. Admin Panel (Basic) – to view users & uploaded docs.
---
Deliverables
MVP live on custom domain (docudite.ai).
Source code with clear documentation.
Deployment guide (Firebase/Netlify/Vercel).
Post-launch support for 1 month.
---
Skillset Required
Strong in React.js / Next.js.
Experience with Firebase (Auth, Firestore, Cloud Functions, Hosting).
Integration with Google Cloud APIs (Translate, Vision OCR).
Experience with OpenAI API or other NLP APIs.
Payment gateway integration (Razorpay/Stripe).
Good understanding of scalable SaaS design.