AI-Powered Tutoring Platform Development
Budget: €30 – €250 EUR
Request for Proposal (RFP) – Software Development
1. Project Vision
The objective of the project is to create an AI-powered digital tutoring platform designed to provide personalized support to middle and high school students, with a particular focus on Mathematics and Physics.
The platform must ensure accessibility via both web and mobile, scalability, and an innovative, interactive, and engaging learning experience.
2. Requested Features (MVP)
• AI Avatar capable of delivering lessons and answering students’ questions in real time.
• Interactive quizzes with automatic grading and instant feedback.
• Gamification elements (points, streaks, badges) to boost motivation.
• Parent dashboard for monitoring students’ progress.
• User onboarding for both students and parents.
• Technical documentation (architecture, functional specifications, scalability roadmap).
• User feedback reports from the testing phase.
• Demo for investors and presentation materials.
3. Scope of Work
The project will include the following activities:
• Validation and refinement of the concept through user testing (students, parents, teachers).
• Architectural design and infrastructure setup.
• Development and integration of AI tutoring features.
• Frontend development and responsive UX design.
• Testing, bug fixing, and iterative improvements.
• Project management and periodic progress updates.
Note: The user testing phase may be carried out directly by the vendor or coordinated with the client’s team, depending on the technical and financial proposal.
4. Deliverables
• Fully functional MVP (AI Tutor).
• Student and parent dashboards.
• Technical documentation and user manual.
• User validation report.
• Investor demo.
• Phase 2 development plan.
5. Timeline
• Estimated duration: 4 months for MVP delivery.
• Intermediate delivery timelines (milestones) to be agreed upon.
6. Proposal & Quotation
The proposal should include:
• A detailed cost estimate (broken down by phases or modules).
• Payment terms and conditions.
• Resource estimation and team composition.
Note: Please indicate a reference budget (range is acceptable) and preferred technologies (e.g., AI frameworks, backend/frontend languages, cloud services).
7. Confidentiality
All shared information must be considered strictly confidential.
8. Contact Information
For further details and to submit the proposal, please contact:
Manolo Aurilia
Project Manager
+39 375 5287534
9. Selection Criteria
Proposals will be evaluated based on:
• Proven experience in AI and EdTech projects.
• Quality and clarity of the technical proposal.
• Competitive and sustainable pricing.
• Ability to meet deadlines and milestones.
• References and case studies from similar projects.
1. Project Vision
The objective of the project is to create an AI-powered digital tutoring platform designed to provide personalized support to middle and high school students, with a particular focus on Mathematics and Physics.
The platform must ensure accessibility via both web and mobile, scalability, and an innovative, interactive, and engaging learning experience.
2. Requested Features (MVP)
• AI Avatar capable of delivering lessons and answering students’ questions in real time.
• Interactive quizzes with automatic grading and instant feedback.
• Gamification elements (points, streaks, badges) to boost motivation.
• Parent dashboard for monitoring students’ progress.
• User onboarding for both students and parents.
• Technical documentation (architecture, functional specifications, scalability roadmap).
• User feedback reports from the testing phase.
• Demo for investors and presentation materials.
3. Scope of Work
The project will include the following activities:
• Validation and refinement of the concept through user testing (students, parents, teachers).
• Architectural design and infrastructure setup.
• Development and integration of AI tutoring features.
• Frontend development and responsive UX design.
• Testing, bug fixing, and iterative improvements.
• Project management and periodic progress updates.
Note: The user testing phase may be carried out directly by the vendor or coordinated with the client’s team, depending on the technical and financial proposal.
4. Deliverables
• Fully functional MVP (AI Tutor).
• Student and parent dashboards.
• Technical documentation and user manual.
• User validation report.
• Investor demo.
• Phase 2 development plan.
5. Timeline
• Estimated duration: 4 months for MVP delivery.
• Intermediate delivery timelines (milestones) to be agreed upon.
6. Proposal & Quotation
The proposal should include:
• A detailed cost estimate (broken down by phases or modules).
• Payment terms and conditions.
• Resource estimation and team composition.
Note: Please indicate a reference budget (range is acceptable) and preferred technologies (e.g., AI frameworks, backend/frontend languages, cloud services).
7. Confidentiality
All shared information must be considered strictly confidential.
8. Contact Information
For further details and to submit the proposal, please contact:
Manolo Aurilia
Project Manager
+39 375 5287534
9. Selection Criteria
Proposals will be evaluated based on:
• Proven experience in AI and EdTech projects.
• Quality and clarity of the technical proposal.
• Competitive and sustainable pricing.
• Ability to meet deadlines and milestones.
• References and case studies from similar projects.