International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 2
March-April 2026
Indexing Partners
Expert Advice: Take Advice from Professionals
| Author(s) | Mr. Mohmmed Taha Awez Sayyed, Prof. Shakila Siddavatam |
|---|---|
| Country | India |
| Abstract | Amidst rapid digital expansion, finding trustworthy professional advice stays tough. Social media groups and freelance sites often lack proper checks, letting unqualified people give bad guidance and spread wrong info. This paper presents "Experts Advice," a web app built with ME oDB, Express.js, React.js, Node.js) that creates three clear user types. sign up, find verified experts in IT, business, teaching, healthcare, book meetings, and leave feedback after. Experts make approved profiles, set their available times, answer questions. Admins check expert papers, watch platform work, keep quality and safety rules. The system uses JWT login to control who sees what based on their role. RESTful design makes front and back ends talk smoothly. React keeps it working well on phones, tablets, computers. MongoDB stores data smartly. Render and Vercel hosting makes it grow easy without breaking. This setup fixes main problems in current platforms by mixing verification, clear booking steps, and admin control, building real trust for online consultations. User testing and detailed checks confirm people trust the platform more when experts get proper verification. Appointment booking works much smoother and faster. Star ratings and reviews help build real credibility for professionals. Admin dashboard keeps everything reliable by watching user activity and fixing problems quickly when they show up. Future improvements can add AI to match right experts with users, video calling instead of just chat, separate mobile app, and safe online payment options. "Experts Advice" gives a solid working model for trustworthy online professional advice systems. Testing results: Users trust verified experts much more, booking process feels simple and fast, admin dashboard keeps quality high by catching problems quickly. |
| Keywords | Keywords: MERN Stack, Online Consultation System, Expert Verification, Role-Based Access Control, Web Application |
| Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
| Published In | Volume 8, Issue 2, March-April 2026 |
| Published On | 2026-03-07 |
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E-ISSN 2582-2160
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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