LoL Companion App with AI Coaching
Budget / Salary$30–250
TypeFreelance project
LocationRemote
Posted3 hours ago
I’m looking for a developer to build a League of Legends companion web app focused on matchup analysis and AI coaching.
Users should be able to enter their Riot ID, champion, opponent Riot ID or champion, and role. The system should provide personalized advice using Riot game data and AI.
Main features:
• Riot ID lookup using Riot Games API
• Champion vs champion matchup analysis
• Recommended runes and summoner spells
• Starting, core, and situational item builds
• Skill order and ability tips
• Laning, trading, and counterplay strategies
• Early, mid, and late-game recommendations
• Player-specific advice using match history and champion statistics
• Patch-aware champion and item data
• AI-generated coaching based on structured game data
I also want voice and audio processing features.
Users should be able to ask questions by voice, such as:
“How should I trade against Darius?”
“What should I build next?”
The system should convert speech to text, process the question with AI, and optionally return a spoken response using text-to-speech.
Relevant skills:
• Riot Games API
• React / Next.js
• Node.js or Python / FastAPI
• OpenAI, Claude, Gemini, or similar LLM APIs
• Speech-to-text and text-to-speech APIs
• Audio streaming and processing
• Database and caching
• API rate-limit handling
The first MVP should focus on Riot ID lookup, matchup analysis, builds, runes, skills, gameplay strategy, and voice-based AI questions.
Please mention how you would structure the Riot data, AI, and audio processing layers so the system stays fast and accurate as game patches change.
Users should be able to enter their Riot ID, champion, opponent Riot ID or champion, and role. The system should provide personalized advice using Riot game data and AI.
Main features:
• Riot ID lookup using Riot Games API
• Champion vs champion matchup analysis
• Recommended runes and summoner spells
• Starting, core, and situational item builds
• Skill order and ability tips
• Laning, trading, and counterplay strategies
• Early, mid, and late-game recommendations
• Player-specific advice using match history and champion statistics
• Patch-aware champion and item data
• AI-generated coaching based on structured game data
I also want voice and audio processing features.
Users should be able to ask questions by voice, such as:
“How should I trade against Darius?”
“What should I build next?”
The system should convert speech to text, process the question with AI, and optionally return a spoken response using text-to-speech.
Relevant skills:
• Riot Games API
• React / Next.js
• Node.js or Python / FastAPI
• OpenAI, Claude, Gemini, or similar LLM APIs
• Speech-to-text and text-to-speech APIs
• Audio streaming and processing
• Database and caching
• API rate-limit handling
The first MVP should focus on Riot ID lookup, matchup analysis, builds, runes, skills, gameplay strategy, and voice-based AI questions.
Please mention how you would structure the Riot data, AI, and audio processing layers so the system stays fast and accurate as game patches change.
Apply on Freelancer →
Project sourced from Freelancer.com. Applications happen directly on the original platform — we never collect your data.