I will build a lead scoring dashboard with fastapi, react, docker

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fatih_mutlu
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fatih_mutlu
Fatih M

About this gig

I will build a Fiverr-ready LeadLens MVP: a listings ingestion + lead/opportunity scoring system for real estate, jobs, or freelance markets. The solution is compliance-first and fixture-first by default, using local HTML fixtures for a deterministic, legal demo flow. Youll get a Dockerized stack (FastAPI + PostgreSQL + Redis + Celery + React) with a clean dashboard to browse listings, filter/sort by score and recency, and manage pipeline status (new/contacted/won/lost) with notes.

The scoring engine outputs a 0100 score with clear reasons and a recommended next action. It includes a deterministic rules mode (recency, budget match, keyword/skill match, completeness, contact availability) and can optionally support LLM-assisted scoring via an OpenAI-compatible provider (strict JSON schema validation + automatic fallback to rules).

Deliverables include full source code, Alembic migrations, seed script (fixtures DB), tests for parsers/scoring, .env.example, and clear setup instructions so you can run everything with docker compose up --build and start scoring immediately. New connectors/sources can be added as extras, provided they are compliant (no login/CAPTCHA/ToS bypass).

Get to know Fatih M

Fatih M
  • FromBosnia and Herzegovina
  • Member sinceSep 2025
  • Languages

    English, Turkish
I’m a Computer Science student with hands-on experience in C++, Java, and Python. During my studies, I worked on multiple projects including desktop applications, small games, and algorithm-based solutions. I have strong knowledge of Object-Oriented Programming, data structures, and clean coding practices. I may still be a student, but I treat every project with a professional mindset.