What are you building?
A constraint-driven recommendation system that helps you select the most appropriate generative AI model for your specific use case
Problem Statement
Problems This Project Solves
1. ❌ “Which model should I use?” confusion
People are overwhelmed by the number of AI models and don’t know where to start.
This project gives a structured way to decide.
2. ❌ Choosing models based on hype or popularity
Most decisions are driven by Twitter, blog posts, or brand names.
This replaces hype with requirements and constraints.
3. ❌ No clear way to compare models fairly
Models are rarely compared using the same parameters.
This standardizes comparison across cost, performance, security, and integration.
4. ❌ Black-box recommendations
Most tools say “use this model” without explaining why.
This shows exactly why a model was selected and what trade-offs were made.
5. ❌ Overpaying for powerful models
Teams often use expensive models when cheaper ones would work.
This helps users optimize for cost without sacrificing needs.
6. ❌ Ignoring production realities
Latency, rate limits, reliability, and vendor lock-in are often discovered too late.
This surfaces operational risks before deployment.
7. ❌ Security and compliance handled too late
Data privacy is frequently an afterthought.
This makes security and data usage a first-class decision factor.
8. ❌ Beginners don’t know what to ask
Many users don’t understand context windows, fine-tuning, or RAG.
The system guides them and explains assumptions in plain English.
9. ❌ Engineers and managers don’t align
Technical decisions are hard to explain to non-technical stakeholders.
This generates a shareable, explainable decision report.
10. ❌ Hard to test before committing
Teams choose models without real evaluation.
This supports side-by-side testing and cost estimation.
11. ❌ One-size-fits-all recommendations
Most tools assume one “best” model.
This focuses on best-fit based on your constraints.
12. ❌ Vendor lock-in surprises
Switching models later is expensive and risky.
This highlights lock-in and fallback readiness early.
Project Website
https://pick-aimodel.manus.space
Status
Category
Industry
Technologies and Platforms
ManusChatGPT
Hugging FaceGithub URL
https://github.com/SankarLabs
LinkedIn URL
https://linkedin.com/in/sankarlabs
Project Members
GGowrisankar N(Owner)